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University of Texas – Austin

1. -1709-7032. Resource allocation in service and logistics systems.

Degree: PhD, Operations Research & Industrial Engineering, 2016, University of Texas – Austin

Resource allocation is a problem commonly encountered in strategic planning, where a typical objective is to minimize the associated cost or maximize the resulting profit. It is studied analytically and numerically for service and logistics systems in this dissertation, with the major resource being people, services or trucks. First, a staffing level problem is analyzed for large-scale single-station queueing systems. The system manager operates an Erlang-C queueing system with a quality-of-service (QoS) constraint on the probability that a customer is queued. However, in this model, the arrival rate is uncertain in the sense that even the arrival-rate distribution is not completely known to the manager. Rather, the manager has an estimate of the support of the arrival-rate distribution and the mean. The goal is to determine the number of servers needed to satisfy the quality of service constraint. Two models are explored. First, the constraint is enforced on an overall delay probability, given the probability that different feasible arrival-rate distributions are selected. In the second case, the constraint has to be satisfied by every possible distribution. For both problems, asymptotically optimal solutions are developed based on Halfin-Whitt type scalings. The work is followed by a discussion on solution uniqueness with a joint QoS constraint and a given arrival-rate distribution in multi-station systems. Second, an extension to Naor’s analysis on the joining or balking problem in observable M=M=1 queues and its variant in unobservable M=M=1 queues is presented to incorporate parameter uncertainty. The arrival-rate distribution is known to all, but the exact arrival rate is unknown in both cases. The optimal joining strategies are obtained and compared from the perspectives of individual customers, the social optimizer and the profit maximizer, where differences are recognized between the results for systems with deterministic and stochastic arrival rates. Finally, an integrated ordering and inbound shipping problem is formulated for an assembly plant with a large number of suppliers. The objective is to minimize the annual total cost with a static strategy. Potential transportation modes include full truckload shipping and less than truckload shipping, the former of which allows customized routing while the latter does not. A location-based model is applied in search of near-optimal solutions instead of an exact model with vehicle routing, and numerical experiments are conducted to investigate the insights of the problem. Advisors/Committee Members: Hasenbein, John J. (advisor), Kutanoglu, Erhan (advisor), Bickel, James E. (committee member), Khajavirad, Aida (committee member), Morrice, Douglas J. (committee member).

Subjects/Keywords: Staffing service systems; Parameter uncertainty; Game-theoretic queueing; Inbound shipping

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

-1709-7032. (2016). Resource allocation in service and logistics systems. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/47042

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-1709-7032. “Resource allocation in service and logistics systems.” 2016. Doctoral Dissertation, University of Texas – Austin. Accessed January 19, 2021. http://hdl.handle.net/2152/47042.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-1709-7032. “Resource allocation in service and logistics systems.” 2016. Web. 19 Jan 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1709-7032. Resource allocation in service and logistics systems. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2016. [cited 2021 Jan 19]. Available from: http://hdl.handle.net/2152/47042.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-1709-7032. Resource allocation in service and logistics systems. [Doctoral Dissertation]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/47042

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Penn State University

2. Pamaraju, Aishwarya. Optimization Of An Inbound Logistics Network: An Automotive Case Study.

Degree: 2012, Penn State University

The design, execution and coordination of a logistics network are essential activities of any supply chain. Although outbound logistics is very important to ensure high responsiveness for customer satisfaction, improper planning of the inbound process could cause disruptions further down the supply chain and affect the overall performance. The two most important factors to be considered for inbound logistics planning are: overall costs and the delivery time. This thesis aims at building an optimization model to aid an Indian automotive OEM in determining the most suitable option to ship material into their plant. The firm currently receives a variety of material at the plants via direct shipments from remotely located suppliers leading to high inventory holding costs. To address the issues of limited plant capacity and increased delivery lead times, including a warehouse and distributors located closer to the plant is proposed. The bi-criteria mixed integer linear program is developed to help determine if: (1) the plants should receive material from the suppliers by direct delivery or (2) from the distributors. The objectives of the model are to minimize overall costs (inventory and transportation) and lead time. The model is solved using Non Pre-emptive Goal Programming by assigning a set of weights to either objective. The model determines the most suitable option to ship material to the plant in the shortest time and at the lowest cost to the company. A scenario analysis is also performed to consider the uncertainty in demand. The most frequently selected shipping option is selected as the best strategy for a given material. The model is illustrated using a combination of real and simulated data from the OEM. Advisors/Committee Members: Arunachalam Ravindran, Thesis Advisor/Co-Advisor.

Subjects/Keywords: logistics; inbound; network; cost; delivery time; transportation; inventory; automotive; shipping; goal programming

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Pamaraju, A. (2012). Optimization Of An Inbound Logistics Network: An Automotive Case Study. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Pamaraju, Aishwarya. “Optimization Of An Inbound Logistics Network: An Automotive Case Study.” 2012. Thesis, Penn State University. Accessed January 19, 2021. https://submit-etda.libraries.psu.edu/catalog/15103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Pamaraju, Aishwarya. “Optimization Of An Inbound Logistics Network: An Automotive Case Study.” 2012. Web. 19 Jan 2021.

Vancouver:

Pamaraju A. Optimization Of An Inbound Logistics Network: An Automotive Case Study. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Jan 19]. Available from: https://submit-etda.libraries.psu.edu/catalog/15103.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Pamaraju A. Optimization Of An Inbound Logistics Network: An Automotive Case Study. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15103

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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