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Georgia Tech
1.
Mcarthur, Christopher Thomas.
Traffic light prediction using connected vehicles.
Degree: MS, Mechanical Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/62694 
► Automotive companies have focused on reducing emissions of vehicles through their design. However, there is opportunities for larger emissions reductions through coaching the driver on…
(more)
▼ Automotive companies have focused on reducing emissions of vehicles through their design. However, there is opportunities for larger emissions reductions through coaching the driver on how improve fuel economy. Driver behavior has an impact on the fuel economy of the vehicle. Gains between 3 and 20 percent can be observed through altering how the driver operates the vehicle. How can the driver be coached in new ways to improve fuel economy? Many of the traditional approaches focus on having the driver using the throttle and brake pedals less aggressively. The approach in this paper implements coaching where the driver is advised based on what is happening in the environment around the vehicle. The environmental events that are being coached on is the timings of traffic lights. A prototype application was constructed that implemented all of these techniques. The system was implemented in real time using an android app. The system took information from the traffic light information files to successfully inform the driver on the environment that they were driving through. The system has been implemented through a prototype application and the results are as follows. Traffic light prediction was successful at predicting 2 cycle fixed time traffic lights. These fixed time traffic lights account for the most common traffic lights in the U.S. The traffic light prediction algorithm and work in that field is promising. The leader-follower traffic light prediction coaching shows fuel consumption reduction by as much as 34% in extreme cases. An average fuel consumption improvement of 18.7% is observed for all the drivers tested.
Advisors/Committee Members: Bras, Bert (advisor), Jiao, Roger (advisor), Simmons, Richard (advisor).
Subjects/Keywords: Driver coaching; Traffic light prediction; Autonomous vehicles
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APA (6th Edition):
Mcarthur, C. T. (2019). Traffic light prediction using connected vehicles. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62694
Chicago Manual of Style (16th Edition):
Mcarthur, Christopher Thomas. “Traffic light prediction using connected vehicles.” 2019. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/62694.
MLA Handbook (7th Edition):
Mcarthur, Christopher Thomas. “Traffic light prediction using connected vehicles.” 2019. Web. 17 Jan 2021.
Vancouver:
Mcarthur CT. Traffic light prediction using connected vehicles. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/62694.
Council of Science Editors:
Mcarthur CT. Traffic light prediction using connected vehicles. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62694
Georgia Tech
2.
Sridhar, Madhuvanthi.
Traffic light learning and prediction.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/62758
► This thesis discusses the implementation of a traffic light learning & prediction model. The increase in V2X communications to predict traffic light behavior live, efforts…
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▼ This thesis discusses the implementation of a traffic light learning & prediction model. The increase in V2X communications to predict traffic light behavior live, efforts to improve fuel economy, and desires to cut environmental pollution due to vehicle emissions are the main motivations for this project. Vehicles with a camera use a vision system to detect and upload signal states into a central learning database. A batch updating procedure runs on this data to develop/refine signal length predictions and stores them in a knowledgebase. Traffic lights are detected with ~ 90% success rate & drivers are always informed on the upcoming signal and its predicted change time at 150 ft distance. Predictions are determined with a high probability of capturing signal drift and changes in light schedule.
Advisors/Committee Members: Bras, Berdinus (advisor), Simmons, Richard (committee member), Jiao, Roger (committee member).
Subjects/Keywords: Traffic light learning & prediction model; V2X communications; Fuel economy; Environmental pollution; Vehicle emissions; Vision system; Batch updating procedure; Signal length predictions; Knowledgebase; Signal drift
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APA (6th Edition):
Sridhar, M. (2020). Traffic light learning and prediction. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62758
Chicago Manual of Style (16th Edition):
Sridhar, Madhuvanthi. “Traffic light learning and prediction.” 2020. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/62758.
MLA Handbook (7th Edition):
Sridhar, Madhuvanthi. “Traffic light learning and prediction.” 2020. Web. 17 Jan 2021.
Vancouver:
Sridhar M. Traffic light learning and prediction. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/62758.
Council of Science Editors:
Sridhar M. Traffic light learning and prediction. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62758
Georgia Tech
3.
Spinolo, Philip Luke.
Distributed parking spot detection with on-board sensors.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/60140
► Drivers searching for parking are significant contributors to congestion in urban areas. It has been shown that informing these drivers about available parking can help…
(more)
▼ Drivers searching for parking are significant contributors to congestion in urban areas. It has been shown that informing these drivers about available parking can help alleviate some of this congestion and thus reduce overall travel time and emissions. However, informing drivers about available parking requires up-to-date knowledge of the occupancy of parking spaces in the area. For certain situations with well-controlled entries and exits, like parking garages, this is a simple process. For more distributed parking, as in open parking lots or curbside parking, the current approach is to deploy sensors at each individual parking space. A more dynamic occupancy detection system may be possible using vehicle-borne sensors to check for open spaces. As vehicle technology continues to advance, capable sensors may even be natively equipped on some vehicles and trim levels, with no need for aftermarket kits. However, when using sensors that make distance measurements to determine whether or not a space is open, a secondary system must be able to check that a detected opening is a parking space and not an intersection or a bus stop or other area that cannot be parked in. In this thesis, a method for detecting openings using a late-model vehicle’s ultrasound parallel park assist sensors and then verifying that the openings are valid parking using basic map data in OpenStreetMap is described. An overview of parking guidance systems as well as relevant sensors is also provided. The system is then tested in two stages, first for the ultrasound sensors by themselves and then for the combined detection and validation system in three different parking scenarios around Atlanta. Results show that the system is effective at identifying opening parking spaces both on the street and in parking lots, though parking lots with angled spots and GPS accuracy are both challenges for the system.
Advisors/Committee Members: Bras, Bert (advisor), Jiao, Roger (committee member), Telenko, Cassandra (committee member).
Subjects/Keywords: Parking; Parking guidance system; Ultrasound sensors; OpenStreetMap
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APA (6th Edition):
Spinolo, P. L. (2017). Distributed parking spot detection with on-board sensors. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60140
Chicago Manual of Style (16th Edition):
Spinolo, Philip Luke. “Distributed parking spot detection with on-board sensors.” 2017. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/60140.
MLA Handbook (7th Edition):
Spinolo, Philip Luke. “Distributed parking spot detection with on-board sensors.” 2017. Web. 17 Jan 2021.
Vancouver:
Spinolo PL. Distributed parking spot detection with on-board sensors. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/60140.
Council of Science Editors:
Spinolo PL. Distributed parking spot detection with on-board sensors. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60140
Georgia Tech
4.
Boston, Daniel Lewis.
Analysis of charging and driving behavior of plugin electric vehicles through telematics controller data.
Degree: MS, Mechanical Engineering, 2014, Georgia Tech
URL: http://hdl.handle.net/1853/54314
► Very little information is known about the impact electrification has on driving behavior, or how drivers charge their electrified vehicles. The recent influx of electrified…
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▼ Very little information is known about the impact electrification has on driving behavior, or how drivers charge their electrified vehicles. The recent influx of electrified vehicles presents a new market of vehicles which allow drivers the option between electrical or conventional gasoline energy sources. The current battery capacity in full battery electric vehicles requires planning of routes not required of conventional vehicles, due to the limited range, extended charging times, and limited charging infrastructure. There is currently little information on how drivers react to these limitations.
A number of current models of fully electric and plug-in hybrid electric vehicles, transmit data wirelessly on key-on, key-off, and charging events. The data includes battery state of charge, distance of miles driven on gasoline and electric, energy consumed, and many other parameters associated to driving and charging behavior. In this thesis, this data was then processed and analyzed to benchmark the performance and characteristics of driving and charging patterns. Vehicles were analyzed and contrasted based on model type, geographic location, length of ownership and other variables.
This data was able to show benchmarks and parameters in aggregate for 56 weeks of electrified vehicle tracking. These parameters were compared to the EV Project, a large scale electrified vehicle study performed by Idaho National Labs, to confirm patterns of expected behavior. New parameters which were not present in the EV Project were analyzed and provided insight to charging and driving behavior not examined in any previous study on a large scale. This study provides benchmarks and conclusions on this new driving behavior, such as large scale analysis of brake regeneration performance and degradation of range anxiety. Analysis of the differences on charging and driving behavior between geographic regions and experience were examined, providing insight to how these variables affect performance and driving and charging patterns. Comparison of parameters established by the EV Project and new parameters analyzed in this report will help build a benchmark for future studies of electrified vehicles.
Advisors/Committee Members: Bras, Bert (advisor), Jiao, Roger (committee member), Guhathakurta, Subhro (committee member).
Subjects/Keywords: PEV; BEV; PHEV; Electric vehicle; Telematics; Analytics; Driving behavior
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APA (6th Edition):
Boston, D. L. (2014). Analysis of charging and driving behavior of plugin electric vehicles through telematics controller data. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54314
Chicago Manual of Style (16th Edition):
Boston, Daniel Lewis. “Analysis of charging and driving behavior of plugin electric vehicles through telematics controller data.” 2014. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/54314.
MLA Handbook (7th Edition):
Boston, Daniel Lewis. “Analysis of charging and driving behavior of plugin electric vehicles through telematics controller data.” 2014. Web. 17 Jan 2021.
Vancouver:
Boston DL. Analysis of charging and driving behavior of plugin electric vehicles through telematics controller data. [Internet] [Masters thesis]. Georgia Tech; 2014. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/54314.
Council of Science Editors:
Boston DL. Analysis of charging and driving behavior of plugin electric vehicles through telematics controller data. [Masters Thesis]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54314
5.
Durand, Fabien R.
Evaluating methods of bio-inspired design and problem equivalency.
Degree: MS, Mechanical Engineering, 2015, Georgia Tech
URL: http://hdl.handle.net/1853/55527
► Bio-Inspired Design is becoming an increasingly popular approach that uses nature as a source of inspiration in order to develop innovative designs. This thesis first…
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▼ Bio-Inspired Design is becoming an increasingly popular approach that uses nature as a source of inspiration in order to develop innovative designs. This thesis first presents a study that was performed in an engineering elective course and aims to explore the effectiveness of five different existing methods for Bio-Inspired Design: Directed, Case Study, AskNature.org, BioTRIZ, and Bio-keyword search. These methods were evaluated based on the quality and quantity of the ideas that students generated, the students’ change in self-efficacy, and their feedback. The metric results demonstrated that each method produces numerous effective and creative solutions, with high quality and large quantity of ideas. Additionally, the course positively affected the students’ design confidence, outcome expectancy and anxiety, while also preserving students’ high motivation towards engineering design. As such, these results serve to identify potential areas for improvement for the methods and the course. > Secondly, a considerable portion of design theory research seeks to develop and optimize design methods. In experiments, short design problems are often provided to participants in order to evaluate the effects of the variables being tested. Certain characteristics may influence design outcomes: experience and prior exposure to the design problems. In this thesis, a small set of design problem characteristics that may influence experimental outcomes are conjectured, and two experiments targeted at uncovering these influences are discussed. The findings show that the problems used, are effective for the quantity and variety metrics, but not for quality and novelty. Survey results expose the possible existence of interaction between the design method and the design problem, especially when testing Bio-Inspired Design methods, and demonstrate the necessity to further explore design problem constructions and characteristics to better evaluate and test methods of design.
Advisors/Committee Members: Linsey, Julie S. (advisor), Telenko, Cassandra (advisor), Jiao, Roger (advisor).
Subjects/Keywords: Bio-inspired design; Problem equivalency; Biomimetic; Self-efficacy; Engineering education
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APA (6th Edition):
Durand, F. R. (2015). Evaluating methods of bio-inspired design and problem equivalency. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55527
Chicago Manual of Style (16th Edition):
Durand, Fabien R. “Evaluating methods of bio-inspired design and problem equivalency.” 2015. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/55527.
MLA Handbook (7th Edition):
Durand, Fabien R. “Evaluating methods of bio-inspired design and problem equivalency.” 2015. Web. 17 Jan 2021.
Vancouver:
Durand FR. Evaluating methods of bio-inspired design and problem equivalency. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/55527.
Council of Science Editors:
Durand FR. Evaluating methods of bio-inspired design and problem equivalency. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55527
Georgia Tech
6.
McKeand, Austin Monroe.
Multilevel upscaling and validation framework for simulation of turbine engine components.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/63566
► Efficient modeling of manufacturing uncertainty is critical in the design of turbine engine components. In this research, a multilevel validation framework is developed to efficiently…
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▼ Efficient modeling of manufacturing uncertainty is critical in the design of turbine engine components. In this research, a multilevel validation framework is developed to efficiently account for the geometric and material uncertainty associated with the manufacturing process to accurately predict the performance of engine components. This framework is created to handle both epistemic and aleatory uncertainty. Specifically, the spatial variability of the uncertain geometric parameters obtained from coordinate measuring machine data of manufactured parts is represented as aleatory uncertainty. Porosity and defects in the manufactured parts based on 3D X-ray CT scanned images are represented as epistemic uncertainty. Multiple efficient statistic tools are integrated into the proposed framework. Karhunen-Loeve expansion is utilized to create a set of correlated random variables from the obtained uncertainty data and a fine scale finite element model of the component is created that accounts for the uncertainties quantified by these correlated random variables. A stochastic upscaling method is then developed to form a simplified model that can represent this detailed model with high accuracy under uncertainties. In addition, a validation method for multi-variate responses is developed and used to validate the simulation results with the experimental results. The modal frequency analysis of a turbine blade example is used to demonstrate the efficacy of the proposed framework. The application results show that the proposed method effectively captures the geometric uncertainties introduced by manufacturing while providing accurate predictions under uncertainties.
Advisors/Committee Members: Choi, Seung-Kyum (advisor), Wang, Yan (committee member), Jiao, Roger (committee member).
Subjects/Keywords: Turbine; Engine; Blade; Uncertainty; Quantification; Stochastic; Upscaling; Validation; Simulation; Design; Frequency; Analysis
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APA (6th Edition):
McKeand, A. M. (2020). Multilevel upscaling and validation framework for simulation of turbine engine components. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63566
Chicago Manual of Style (16th Edition):
McKeand, Austin Monroe. “Multilevel upscaling and validation framework for simulation of turbine engine components.” 2020. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/63566.
MLA Handbook (7th Edition):
McKeand, Austin Monroe. “Multilevel upscaling and validation framework for simulation of turbine engine components.” 2020. Web. 17 Jan 2021.
Vancouver:
McKeand AM. Multilevel upscaling and validation framework for simulation of turbine engine components. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/63566.
Council of Science Editors:
McKeand AM. Multilevel upscaling and validation framework for simulation of turbine engine components. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63566
Georgia Tech
7.
Wang, Shu.
Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling.
Degree: MS, Electrical and Computer Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/62356
► Due to the large volume of transportation that takes place on the airport every day, airlines need to efficiently manage their employees and tasks to…
(more)
▼ Due to the large volume of transportation that takes place on the airport every day, airlines need to efficiently manage their employees and tasks to guarantee necessary operations are performed well and on time. The quality of the workforce scheduling has an important influence on both the task performance and costs of labor and operations that airlines will take. In this regard, this thesis proposes a mathematical modeling for airport ground staff scheduling with corresponding algorithms, including a 2D GA for shift planning with daily-wise shift formats, column generation for rostering and task dispatching, and integer programming for disruption management. The presented optimization-based workforce scheduling can replace the manual planning or serve as a reference for practitioners.
Advisors/Committee Members: Jiao, Roger (advisor), Meliopoulos, A. P. (advisor), Choi, Seung-Kyum (advisor), Zhang, Ying (advisor).
Subjects/Keywords: Workforce scheduling; Genetic algorithm; Column generation; Integer programming; Shift planning; Rostering
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APA (6th Edition):
Wang, S. (2019). Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62356
Chicago Manual of Style (16th Edition):
Wang, Shu. “Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling.” 2019. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/62356.
MLA Handbook (7th Edition):
Wang, Shu. “Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling.” 2019. Web. 17 Jan 2021.
Vancouver:
Wang S. Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/62356.
Council of Science Editors:
Wang S. Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62356
Georgia Tech
8.
Hammoud, Nader.
Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor.
Degree: MS, Mechanical Engineering, 2015, Georgia Tech
URL: http://hdl.handle.net/1853/56225
► To gain a better understanding of the impact of parking spaces on traffic congestion, road infrastructure, time spent searching for parking and ultimately CO2 emissions,…
(more)
▼ To gain a better understanding of the impact of parking spaces on traffic congestion, road infrastructure, time spent searching for parking and ultimately CO2 emissions, several parking surveys have been undertaken. Traditionally these surveys were performed by individuals manually logging parking lot information, thus limiting spatial and temporal coverage due to high labor costs. As a result, the need for automating the data collection process for open parking spaces is paramount when one starts looking into using parking lot information in real-time applications and across a large area such as a city, state, or even an entire country. Some studies have been conducted looking into this automation process, such as using ultrasonic sensors, 2D LIDARs, vision sensors, parking lot cameras and sensors for individual parking spots in a lot. Most of these methods generated promising results, but were either expensive or not suitable for real-time processing.
This thesis describes an affordable method to detect parking spots in real-time by installing a low cost, off-the-shelf laser range sensors onto a probe car. Several algorithms will investigate the effect of having a stationary sensor and enabling a vertical motion of the sensor, with hopes of obtaining 3D images of a parking lot. The experiments are conducted for different parking configurations, in normal and adverse weather conditions. The results were compared to onboard ground truth camera recordings of the experiments. Statistical analyses were also performed to determine how effective a laser range sensor is in mapping a parking lot in one run; and how many runs were necessary to map the parking lot with a certain confidence.
Results show that the stationary laser range sensor maps parking spots with high accuracy, successfully generating a 2D and 3D layout of the parking configuration. Moreover, it has been shown that the sensor’s accuracy does not diminish for adverse weather conditions. The vertical motion of the sensor on the other hand helps with detecting some black cars, which are not as efficiently identified by the stable sensor.
Advisors/Committee Members: Bras, Bert (advisor), Choi, Seung-Kyum (committee member), Jiao, Roger (committee member).
Subjects/Keywords: Parking; Laser Sensor; Detection
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APA (6th Edition):
Hammoud, N. (2015). Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56225
Chicago Manual of Style (16th Edition):
Hammoud, Nader. “Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor.” 2015. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/56225.
MLA Handbook (7th Edition):
Hammoud, Nader. “Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor.” 2015. Web. 17 Jan 2021.
Vancouver:
Hammoud N. Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/56225.
Council of Science Editors:
Hammoud N. Enhancement of Parking Spot Detection Using an Affordable Laser Range Sensor. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/56225
Georgia Tech
9.
Layton, Astrid C.
Food webs: Realizing biological inspiration for sustainable industrial resource networks.
Degree: PhD, Mechanical Engineering, 2014, Georgia Tech
URL: http://hdl.handle.net/1853/54307
► This thesis considers the problem of how to design an industrial network to reduce cost, increase efficiency, and reduce environmental burdens. A recent approach is…
(more)
▼ This thesis considers the problem of how to design an industrial network to reduce cost, increase efficiency, and reduce environmental burdens. A recent approach is further developed that uses analogies with biological food webs to guide industry design. Studying ecological food webs shows that among the metrics in use, critical quantities of interest for industry design include the internal cycling of energy, the ratio of producers to consumers, and the ratio of efficiency to redundancy in the network. Metrics that are calculated using flow based information are also introduced for use in industry, a significant step forward for bio-inspired network design. A comprehensive data set of proposed, operational, and failed eco-industrial parks is compiled for use with structural food web analyses. A data set of biological food webs is also assembled to calculate sustainable benchmark values used as goals for the industrial designs. This research an essential difficulty in bio-inspired design approaches by quantitatively analyzing components of food web design by reconstructing found relationships from science and engineering 1st principles, specifically using thermodynamic 1st law efficiency. Results from this work have the potential to provide industry-wide cost savings, increase efficiency, and reduce environmental burdens through a reduction in raw material consumption and waste disposal. The results also support the view that financial competitiveness and sustainability need not be mutually exclusive: using food web network patterns embodying both economically and environmentally desirable properties, biologically redesigned industrial networks can ease both environmental and economic burdens.
Advisors/Committee Members: Bras, Bert (advisor), Weissburg, Marc (committee member), Jiao, Roger (committee member), Linsey, Julie (committee member), Borrett, Stuart (committee member).
Subjects/Keywords: Industrial ecology; Food webs; Eco-industrial parks; Biological analogy; Ecosystem network analysis; Industrial resource networks; Sustainable design
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APA (6th Edition):
Layton, A. C. (2014). Food webs: Realizing biological inspiration for sustainable industrial resource networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54307
Chicago Manual of Style (16th Edition):
Layton, Astrid C. “Food webs: Realizing biological inspiration for sustainable industrial resource networks.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/54307.
MLA Handbook (7th Edition):
Layton, Astrid C. “Food webs: Realizing biological inspiration for sustainable industrial resource networks.” 2014. Web. 17 Jan 2021.
Vancouver:
Layton AC. Food webs: Realizing biological inspiration for sustainable industrial resource networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/54307.
Council of Science Editors:
Layton AC. Food webs: Realizing biological inspiration for sustainable industrial resource networks. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/54307
Georgia Tech
10.
Irudayaraj, Prashanth Philip.
Lifecycle cost analysis for modular design of solar power systems.
Degree: MS, Mechanical Engineering, 2016, Georgia Tech
URL: http://hdl.handle.net/1853/55029
► Solar power systems are becoming increasingly popular due to the fact that solar power can offer time and money saving solutions for off-grid and grid-connected…
(more)
▼ Solar power systems are becoming increasingly popular due to the fact that solar power can offer time and money saving solutions for off-grid and grid-connected homes, cabins, and businesses with clean and affordable energy. However, there are still significant opportunities to reduce the cost of solar power systems by optimizing system design. This paper presents a methodology for evaluating the lifecycle labor costs of solar power systems. This methodology can help optimize system designs relative to cost. It can also support solar power system selection decisions based on a holistic lifecycle view. The methodology accomplishes this by first presenting a method to evaluate the modularity of competing systems, or design variants. It then describes a method of gathering data and modeling the systems so that it can be communicated to relevant stakeholders. Finally, it uses discrete event simulation to generate an estimate of relative lifecycle labor cost performance. Verification and validation of the methods described are presented through a case study of the MegaModule residential solar power system, designed by the team at GTRI. The paper concludes with a review of limitations and proposed future work.
Advisors/Committee Members: Jiao, Roger (advisor), Gentry, Russell (committee member), Telenko, Cassandra (committee member), Stern, Ilan (committee member), Hora, Manpreet (committee member).
Subjects/Keywords: Lifecycle cost; Solar power; Discrete event simulation
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APA (6th Edition):
Irudayaraj, P. P. (2016). Lifecycle cost analysis for modular design of solar power systems. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55029
Chicago Manual of Style (16th Edition):
Irudayaraj, Prashanth Philip. “Lifecycle cost analysis for modular design of solar power systems.” 2016. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/55029.
MLA Handbook (7th Edition):
Irudayaraj, Prashanth Philip. “Lifecycle cost analysis for modular design of solar power systems.” 2016. Web. 17 Jan 2021.
Vancouver:
Irudayaraj PP. Lifecycle cost analysis for modular design of solar power systems. [Internet] [Masters thesis]. Georgia Tech; 2016. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/55029.
Council of Science Editors:
Irudayaraj PP. Lifecycle cost analysis for modular design of solar power systems. [Masters Thesis]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55029
11.
Hume, Chad Albert.
Platform variable identification using sensitivity analysis for product platform design.
Degree: MS, Mechanical Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/50362
► The recent trend of mass customization has redefined the way companies do business. Each individual customer is now their own market, requiring products specific to…
(more)
▼ The recent trend of mass customization has redefined the way companies do business. Each individual customer is now their own market, requiring products specific to their wants and needs at mass production prices. This need for ever-increasing variety is a significant challenge for industry that many times leads to ballooning manufacturing costs and lower product performance. One approach that has received widespread attention and implementation is to develop families of products from standardized product platforms. While, many methods have been developed to address different challenges within product platform design, they are not without their limitations/tradeoffs and therefore leave much room for development and improvement. The Product Platform Constructal Theory Method (PPCTM), developed by Dr. Gabriel Hernandez, is a novel approach for developing product platforms that enable customizable products. Rooted in the tenants of hierarchic systems theory and constructal theory, the PPCTM solves for the product platform as a problem of optimization of access in a geometric space. The result is a hierarchical organization of the modes for managing variety and the specification of their commonality across the product platform. Overall, the PPCTM offers an extremely comprehensive product platform design method, with the ability to accommodate multi-platform design, multiple design specifications, non-uniform demand modeling, and multi-objective decision-making. One limitation of this method is that the selection of platform variables and the modes for managing product variety must be pre-specified or determined ad hoc by the designer. This thesis seeks to address this limitation through the integration of a sensitivity-based analysis method to determine the effect of platform variable variation on the family performance. The result of this work is a Sensitivity-based PPCTM that facilitates the selection of common platform variables, such that modes for managing variety can be ranked and applied to the space element hierarchy. The proposed method is illustrated with three examples: the design of a line of customizable pressure vessels, universal electric motors, and finger pumps.
Advisors/Committee Members: Rosen, David W. (advisor), Schaefer, Dirk (committee member), Jiao, Roger (committee member).
Subjects/Keywords: Product family; Product platform; Sensitivity analysis; Design; Mass customization; Product design
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APA (6th Edition):
Hume, C. A. (2013). Platform variable identification using sensitivity analysis for product platform design. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50362
Chicago Manual of Style (16th Edition):
Hume, Chad Albert. “Platform variable identification using sensitivity analysis for product platform design.” 2013. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/50362.
MLA Handbook (7th Edition):
Hume, Chad Albert. “Platform variable identification using sensitivity analysis for product platform design.” 2013. Web. 17 Jan 2021.
Vancouver:
Hume CA. Platform variable identification using sensitivity analysis for product platform design. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/50362.
Council of Science Editors:
Hume CA. Platform variable identification using sensitivity analysis for product platform design. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50362
12.
Song, Ruoyu.
Game theoretic optimization for product line evolution.
Degree: MS, Mechanical Engineering, 2015, Georgia Tech
URL: http://hdl.handle.net/1853/54472
► Product line planning aims at optimal planning of product variety. In addition, the traditional product line planning problem develops new product lines based on product…
(more)
▼ Product line planning aims at optimal planning of product variety. In addition, the traditional product line planning problem develops new product lines based on product attributes without considering existing product lines. However, in reality, almost all new product lines evolve from existing product lines, which leads to the product line evolution problem. Product line evolution involves trade-offs between the marketing perspective and engineering perspective. The marketing concern focuses on maximizing utility for customers; the engineering concern focuses on minimizing engineering cost. Utility represents satisfaction experienced by the customers of a product. Engineering cost is the total cost involved in the process of the development of a product line. These two goals are in conflict since the high utility requires high-end product attributes which could increase the engineering cost and vice versa. Rather than aggregating both problems as one single level optimization problem, the marketing and engineering concerns entail a non-collaborative game per se. This research investigates a game-theoretic approach to the product line evolution problem. A leader-follower joint optimization model is developed to leverage conflicting goals of marketing and engineering concerns within a coherent framework of game theoretic optimization. To solve the joint optimization model efficiently, a bi-level nested genetic algorithm is developed. A case study of smart watch product line evolution is reported to illustrate the feasibility and potential of the proposed approach.
Advisors/Committee Members: Jiao, Roger J. (advisor), Telenko, Cassandra (committee member), Hora, Manpreet S. (committee member).
Subjects/Keywords: Product line evolution; Bi-level joint optimization; Bi-level nested genetic algorithm
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APA (6th Edition):
Song, R. (2015). Game theoretic optimization for product line evolution. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54472
Chicago Manual of Style (16th Edition):
Song, Ruoyu. “Game theoretic optimization for product line evolution.” 2015. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/54472.
MLA Handbook (7th Edition):
Song, Ruoyu. “Game theoretic optimization for product line evolution.” 2015. Web. 17 Jan 2021.
Vancouver:
Song R. Game theoretic optimization for product line evolution. [Internet] [Masters thesis]. Georgia Tech; 2015. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/54472.
Council of Science Editors:
Song R. Game theoretic optimization for product line evolution. [Masters Thesis]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54472
13.
Lincoln, Andrew R.
Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing.
Degree: MS, Mechanical Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/49099
► While costing methods have developed over time, they are often static in nature and ill-suited to the dynamic nature of production lines. Static costing systems…
(more)
▼ While costing methods have developed over time, they are often static in nature and ill-suited to the dynamic nature of production lines. Static costing systems are often developed for long-term analysis. Due to this, they lack the ability to aid short-term decision-making. In addition, the use of averaged data prohibits a static costing system from accurately tracing the cost effects of changing system behavior like random downtime events. A dynamic costing system, however, can capture the cost effects of changing system behavior in a manner that can aid short-term operational management.
The proposed methodology is a dynamic activity-based costing method that relies on real-time production line data to track costs, specifically the added costs of unused capacity and downtime events. The methodology aims to trace these costs to responsible cost centers on the production line to give a better representation of the total cost of production, specifically in regards to normal production costs, added downtime costs, and added costs from unused capacity. In addition to monetary costs, the methodology provides a framework for tracking environmental costs, such as energy use, in order to aid plant managers with determining the environmental impact of their operations.
The methodology addresses a gap between activity-based costing and downtime costing by combining the two under a single methodology. It traces both monetary and environmental costs to cost centers on the manufacturing line to aid continuous improvement efforts and the allocation of resources. By using real-time data, the methodology alerts management to changing system performance in a shorter time frame than static costing systems.
The methodology will be shown in a case study of an automotive assembly plant. The case study will model the resource use of an automotive paint shop and trace this resource use to line segments in order to highlight areas of possible improvement.
Advisors/Committee Members: Bras, Berdinus A. (advisor), Jiao, Roger (committee member), Oh, Seog-Chan (committee member).
Subjects/Keywords: Production line costing; Activity-based costing; Dynamic costing; Downtime costing; Unused capacity cost; Cost accounting; Critical path analysis; Resource allocation; Operations research
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APA (6th Edition):
Lincoln, A. R. (2013). Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49099
Chicago Manual of Style (16th Edition):
Lincoln, Andrew R. “Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing.” 2013. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/49099.
MLA Handbook (7th Edition):
Lincoln, Andrew R. “Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing.” 2013. Web. 17 Jan 2021.
Vancouver:
Lincoln AR. Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/49099.
Council of Science Editors:
Lincoln AR. Development of a dynamic costing model for assessing downtime and unused capacity costs in manufacturing. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49099
14.
Goksel, Lorens Sarim.
Fatigue and damage tolerance assessment of aircraft structure under uncertainty.
Degree: MS, Mechanical Engineering, 2013, Georgia Tech
URL: http://hdl.handle.net/1853/49124
► This thesis presents a new modeling framework and application methodology for the study of aircraft structures. The framework provides a ‘cradle-to-grave’ approach to structural analysis…
(more)
▼ This thesis presents a new modeling framework and application methodology for
the study of aircraft structures. The framework provides a ‘cradle-to-grave’ approach to
structural analysis of a component, where structural integrity encompasses all phases of
its lifespan.
The methodology examines the holistic structural design of aircraft components
by integrating fatigue and damage tolerance methodologies. It accomplishes this by
marrying the load inputs from a fatigue analysis for new design, into a risk analysis for an
existing design. The risk analysis incorporates the variability found from literature,
including recorded defects, loadings, and material strength properties.
The methodology is verified via formal conceptualization of the structures, which
are demonstrated on an actual hydraulic accumulator and an engine nacelle inlet. The
hydraulic accumulator is examined for structural integrity utilizing different base
materials undergoing variable amplitude loading. Integrity is accomplished through a
risk analysis by means of fault tree analysis. The engine nacelle inlet uses the damage
tolerance philosophy for a sonic fatigue condition undergoing both constant amplitude
loading and a theoretical flight design case. Residual strength changes are examined
throughout crack growth, where structural integrity is accomplished through a risk
analysis of component strength versus probability of failure.
Both methodologies can be applied to nearly any structural application, not
necessarily limited to aerospace.
Advisors/Committee Members: Jiao, Roger (advisor), Scott, David (advisor), Choi, Seung-Kyum (committee member).
Subjects/Keywords: Fatigue; Damage tolerance; Aircraft structures; FEM; Risk analysis; Probability of failure probability of detection; Aluminum; Crack growth; Airframes; Airframes Fatigue; Airplanes Fuselage; Risk assessment
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APA (6th Edition):
Goksel, L. S. (2013). Fatigue and damage tolerance assessment of aircraft structure under uncertainty. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49124
Chicago Manual of Style (16th Edition):
Goksel, Lorens Sarim. “Fatigue and damage tolerance assessment of aircraft structure under uncertainty.” 2013. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/49124.
MLA Handbook (7th Edition):
Goksel, Lorens Sarim. “Fatigue and damage tolerance assessment of aircraft structure under uncertainty.” 2013. Web. 17 Jan 2021.
Vancouver:
Goksel LS. Fatigue and damage tolerance assessment of aircraft structure under uncertainty. [Internet] [Masters thesis]. Georgia Tech; 2013. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/49124.
Council of Science Editors:
Goksel LS. Fatigue and damage tolerance assessment of aircraft structure under uncertainty. [Masters Thesis]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49124
15.
Hansen, John-Travis Smith.
A design method for product family configuration with spatial layout constraints.
Degree: MS, Mechanical Engineering, 2017, Georgia Tech
URL: http://hdl.handle.net/1853/59304
► The use of product platforms facilitates product variety and reductions in cost and lead times, enabling companies to compete in the global marketplace. A common…
(more)
▼ The use of product platforms facilitates product variety and reductions in cost and lead times, enabling companies to compete in the global marketplace. A common platform allows companies to generate variety by adding, removing, or substituting modules within products to target a specific market. The product platform acts as the foundation for the technology, function, and physical arrangement, common to the entire product family. Configuration design methods are used to identify product platforms based on a set of components and their relationships in a product. From a configuration perspective, the physical locations and spatial requirements of components within a product can influence the physical layout of other members of the product family. This can lead to difficulty in obtaining the desired variety and spatial layout of components.
Methods for solving configuration design problems utilizing discrete mathematics and graph theory to model configuration problems from multiple viewpoints have been developed. The current viewpoints consider neither desires of the designer in regards to variety, nor the physical requirements of the product family in later design stages. The generation of product configurations is a combinatorial and discrete problem, while physical layout is combinatorial and algebraic. Resulting in a complex problem utilizing multiple forms of mathematics. The work of this thesis seeks to address this problem through the consolidation of configuration design and object layout methods to determine the effects of configuration design decisions on component layout.
The development of a design method to generate a product family with configuration constraints and the generation of common component layouts based on spatial constraints is presented in this thesis. This method facilitates product platform selection by determining if the designers' desired configurations and layouts are feasible. To demonstrate the use of the method presented in this thesis, a GUI-based software application was developed. This software implements the work of this thesis into a user-friendly program. The proposed method and the software are demonstrated through a series of examples.
Advisors/Committee Members: Rosen, David W (advisor), Fu, Katherine (committee member), Jiao, Roger (committee member).
Subjects/Keywords: Product family design; Configuration cesign; Object layout
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APA (6th Edition):
Hansen, J. S. (2017). A design method for product family configuration with spatial layout constraints. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59304
Chicago Manual of Style (16th Edition):
Hansen, John-Travis Smith. “A design method for product family configuration with spatial layout constraints.” 2017. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/59304.
MLA Handbook (7th Edition):
Hansen, John-Travis Smith. “A design method for product family configuration with spatial layout constraints.” 2017. Web. 17 Jan 2021.
Vancouver:
Hansen JS. A design method for product family configuration with spatial layout constraints. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/59304.
Council of Science Editors:
Hansen JS. A design method for product family configuration with spatial layout constraints. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59304
16.
Doshi, Siddharth.
Designing a multi-modal traveler information platform for urban transportation.
Degree: MS, Mechanical Engineering, 2010, Georgia Tech
URL: http://hdl.handle.net/1853/37167
► Urban transportation networks are inefficient due to sub-optimal use by travelers. One approach to counter the increase in urban transportation demand is to provide better…
(more)
▼ Urban transportation networks are inefficient due to sub-optimal use by travelers. One approach to counter the increase in urban transportation demand is to provide better information to travelers, which would allow them to make better use of the network.
Existing traveler information systems do this to a certain extent, but are limited by the data available and the scope of their implementation. These systems are vertically integrated and closed so that using any external elements for analysis, user interfacing etc. is difficult.
The effects of such traveler information systems are reviewed via a comparative analysis of case studies available in the literature. It is found that information availability has a definite positive effect, but the social and environmental benefits are difficult to quantify. It is also seen that combining data by integrating systems can lead to additional uses for the same data and result on better quality of service and information.
In this thesis, a regional platform for multi-modal traveler information is proposed that would support the development of traveler information systems. The architecture incorporates a central processing and storage module, which acts as an information clearinghouse and supports receiving, managing and sending data to and from multiple sources and interfaces. This setup allows sharing of data for analysis or application development, but with access control. The components are loosely coupled to minimize inter-dependencies. Due to this, the source, analysis, user interface and storage components can be developed independently of each other.
To better develop the requirements and understand the challenges of the proposed concept, a limited implementation of the system is designed for the midtown Atlanta region, incorporating multiple data sources and user interfaces. The individual elements of the system are described in detail as is the testing and evaluation of the system.
Advisors/Committee Members: Bras, Bert (Committee Chair), French, Steven (Committee Member), Jiao, Roger (Committee Member).
Subjects/Keywords: User interface; Application; API; Database; Tracking; Urban transportation; Traveler information; GPS; Urban transportation; Intelligent transportation systems; Advanced traveler information systems; Vehicle-infrastructure integration
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APA (6th Edition):
Doshi, S. (2010). Designing a multi-modal traveler information platform for urban transportation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37167
Chicago Manual of Style (16th Edition):
Doshi, Siddharth. “Designing a multi-modal traveler information platform for urban transportation.” 2010. Masters Thesis, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/37167.
MLA Handbook (7th Edition):
Doshi, Siddharth. “Designing a multi-modal traveler information platform for urban transportation.” 2010. Web. 17 Jan 2021.
Vancouver:
Doshi S. Designing a multi-modal traveler information platform for urban transportation. [Internet] [Masters thesis]. Georgia Tech; 2010. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/37167.
Council of Science Editors:
Doshi S. Designing a multi-modal traveler information platform for urban transportation. [Masters Thesis]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37167
Georgia Tech
17.
Repole, Kenzo K.
The development and application of design and optimization methods for energy intensive mechanical systems for challenging environments as applied to a concentrated solar power particle lift system.
Degree: PhD, Mechanical Engineering, 2019, Georgia Tech
URL: http://hdl.handle.net/1853/61233
► This dissertation investigated improved methods and tools for the design and optimization of energy intensive mechanical systems with specific application to high temperature particle transport…
(more)
▼ This dissertation investigated improved methods and tools for the design and optimization of energy intensive mechanical systems with specific application to high temperature particle transport for use in a particle heating receiver based concentrated solar power system. This form of concentrated solar power uses solid particles to capture the solar energy and then use it for power generation or store it as thermal energy for later use. The particle lift system is a critical component which must transport the particles from the lower temperature storage bin back to the particle heating receiver. This research is the integration and development of design and analysis tools for such energy-intensive mechanical systems and their demonstration in the conceptual design followed by the design development and optimization. The conceptual design employs an innovative multi-stage structured design process. For optimization, a unique performance and cost model based on first principles and standard cost engineering is used to generate efficiency and cost estimates. The design development, modeling, and optimization methods developed herein, while demonstrated for a particular system, are generally applicable to any energy intensive materials handling system, especially one developed for operation in a challenging environment such as the high temperature particle-laden environment in this application. This research furthers the development of design and analysis tools and the methods available for developing such energy intensive systems and the development of basic design methods. It helps ensure that potentially effective conceptual design approaches are not overlooked and that the most promising concepts are selected and developed and implemented with a minimum investment in the design and engineering effort.
Advisors/Committee Members: Jeter, Sheldon M. (advisor), Abdel-Khalik, Said I. (advisor), Callen, William R. (committee member), Al-Ansary, Hany (committee member), Jiao, Roger J. (committee member).
Subjects/Keywords: Concentrated solar power; Particle lift; Axiomatic theory; Design theory; Pugh
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APA (6th Edition):
Repole, K. K. (2019). The development and application of design and optimization methods for energy intensive mechanical systems for challenging environments as applied to a concentrated solar power particle lift system. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61233
Chicago Manual of Style (16th Edition):
Repole, Kenzo K. “The development and application of design and optimization methods for energy intensive mechanical systems for challenging environments as applied to a concentrated solar power particle lift system.” 2019. Doctoral Dissertation, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/61233.
MLA Handbook (7th Edition):
Repole, Kenzo K. “The development and application of design and optimization methods for energy intensive mechanical systems for challenging environments as applied to a concentrated solar power particle lift system.” 2019. Web. 17 Jan 2021.
Vancouver:
Repole KK. The development and application of design and optimization methods for energy intensive mechanical systems for challenging environments as applied to a concentrated solar power particle lift system. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/61233.
Council of Science Editors:
Repole KK. The development and application of design and optimization methods for energy intensive mechanical systems for challenging environments as applied to a concentrated solar power particle lift system. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61233
18.
Zhou, Feng.
Viral product design for social network effects.
Degree: PhD, Mechanical Engineering, 2014, Georgia Tech
URL: http://hdl.handle.net/1853/53067
► Recent advances in social media have profound technical and economic implications for innovative design. This research is motivated to investigate social network effects on product…
(more)
▼ Recent advances in social media have profound technical and economic implications for innovative design. This research is motivated to investigate social network effects on product design with a focus on the interface of engineering design, viral marketing, and social computing. This dissertation envisions a new paradigm of design, called viral product design for social network effects. The research problem is formulated as identification of both an optimal set of product configurations and an optimal set of seed customers so as to maximize product adoption via online social networks through equilibrium solutions to marketing-engineering coordination. Fundamental issues are investigated and a technical framework is proposed with integrated decision-based design methods. Results of case studies demonstrate that the proposed research is able to bridge the gaps between the domains of engineering design and viral marketing by incorporating social network effects.
The proposed work is geared towards new design theory and decision models by integrating peer influence of social networks, which shed light on understanding the social aspect of design. The dissertation reveals the fundamental issues underlying viral product design, including the identification of viral attributes, customer preference modeling incorporating subjective experiences, the dynamics of the diffusion mechanism of online social networks, formulation of adoption maximization, and coordination between the marketing and engineering domains. In order to tackle the fundamental issues, a technical framework of viral product design for social network effects is proposed. Accordingly, mathematical and computational models are developed within the framework to support 1) latent customer needs elicitation for viral product attributes extraction, 2) customer preference modeling and quantification for product choice decision making, 3) social network modeling for product adoption prediction, and 4) viral product design evaluation by adoption maximization. These coherent models along the technical framework lay the theoretical foundation of this research, as described below.
First, in order to extract potential viral product attributes, latent customer needs elicitation is emphasized. This is because latent customer needs can delight customers unexpectedly, and thus lead to potential product adoption to a large extent. We propose to elicit latent customer needs by use case analogical reasoning from sentiment analysis of online product reviews. A case study of Kindle Fire HD tablets shows the potential and feasibility of the proposed method. The extracted product attributes and attribute levels provide the choice set of viral product attributes.
Second, based on the extracted product attributes, a customer preference model based on cumulative prospect theory is presented, accommodating subjective experiences in the product choice decision making process. Moreover, a hierarchical Bayesian model with Markov chain Monte Carlo is used to estimate parameters involved…
Advisors/Committee Members: Jiao, Roger J. (advisor), Colton, Jonathan S. (committee member), Linsey, Julie S. (committee member), Goel, Ashok K. (committee member), Hahn, Heidi A. (committee member).
Subjects/Keywords: Viral product design; Social network effects; Viral marketing; Product line design
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APA (6th Edition):
Zhou, F. (2014). Viral product design for social network effects. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53067
Chicago Manual of Style (16th Edition):
Zhou, Feng. “Viral product design for social network effects.” 2014. Doctoral Dissertation, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/53067.
MLA Handbook (7th Edition):
Zhou, Feng. “Viral product design for social network effects.” 2014. Web. 17 Jan 2021.
Vancouver:
Zhou F. Viral product design for social network effects. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/53067.
Council of Science Editors:
Zhou F. Viral product design for social network effects. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53067
19.
Rajora, Manik.
Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.
Degree: PhD, Mechanical Engineering, 2018, Georgia Tech
URL: http://hdl.handle.net/1853/59847
► Hierarchically coupled constrained optimization problems (HCCOPs) are commonly encountered in the manufacturing industries, however, they haven’t been categorized as such. Due to a lack of…
(more)
▼ Hierarchically coupled constrained optimization problems (HCCOPs) are commonly encountered in the manufacturing industries, however, they haven’t been categorized as such. Due to a lack of clear definition to identify these problems, numerous techniques have been developed for the optimization of HCCOPs but these techniques are not universally applicable to all HCCOPs and are unable to cope with large scale problems. Furthermore, current techniques used for the optimization of these HCOOPs only provide a single optimal solution upon execution. Though the single optimal solution may theoretically satisfy the objective function, it might not be applicable in real life scenario. This research will first focus on establishing an abstract definition and identifying the common principles amongst different HCCOPs. Next, based on the established definition and common principles, a new optimization technique, based on evolutionary computation, will be developed. The proposed algorithm will be developed in a way such that only feasible solutions are generated during the iterations of the algorithm thereby reducing its computational complexity. To validate the proposed algorithm, it will be utilized to optimize HCCOPs commonly encountered in the manufacturing industry such as assembly job-shop scheduling problem (AJSSP) and the simultaneous optimization of Neural Network (NN) structure and weight values. The research will also focus on developing a technique for the multimodal optimization (MMO) of HCCOPs i.e. obtain multiple solutions with the same objective value. To validate the proposed MMO approach, it will first be utilized for the MMO of benchmark job-shop scheduling problem (JSSP) and permutation flow-shop scheduling problem (PFSSP) followed by the MMO of AJSSP. This research would aid in the identification and MMO of HCCOP. The proposed algorithm could be easily applied to any HCCOP while requiring minimal changes.
Advisors/Committee Members: Liang, Steven Y. (advisor), Melkote, Shreyes N. (committee member), Jiao, Roger (committee member), Gebraeel, Nagi (committee member), Xu, Wei (committee member), Zhang, Jie (committee member).
Subjects/Keywords: Hierarchically coupled constrained optimization; Multimodal optimization; Scheduling; Evolutionary algorithm
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APA (6th Edition):
Rajora, M. (2018). Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59847
Chicago Manual of Style (16th Edition):
Rajora, Manik. “Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.” 2018. Doctoral Dissertation, Georgia Tech. Accessed January 17, 2021.
http://hdl.handle.net/1853/59847.
MLA Handbook (7th Edition):
Rajora, Manik. “Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization.” 2018. Web. 17 Jan 2021.
Vancouver:
Rajora M. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Jan 17].
Available from: http://hdl.handle.net/1853/59847.
Council of Science Editors:
Rajora M. Intelligent manufacturing for production planning based upon hierarchically coupled constrained and multimodal optimization. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59847
. 
Open Access Theses and Dissertations
