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You searched for +publisher:"University of Houston" +contributor:("Parsaei, Hamid R."). Showing records 1 – 2 of 2 total matches.

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University of Houston

1. -4008-6008. A New Approach to Measure Intangibles in the Economic Analysis of Advanced Technology Projects.

Degree: Industrial Engineering, Department of, 2016, University of Houston

Current global demand for products with more advanced features and capabilities, less weight, and increased aesthetics has driven manufacturers to make significant investments in machinery and tools. Company decisions to invest in advanced technologies are often strategically aimed toward short-term return and frequently do not conform to traditional cost accounting practices, which, in many cases, may lead to rejection of investment due to inappropriate measurement techniques. In revitalizing the manufacturing sector of the United States, manufacturing companies have been encouraged by a multitude of incentives to invest capital in plant and equipment enhancements in order to meet and exceed market expectations. The capital investment made by these companies is expected to enhance the capacity to make new products while expanding existing production capacity. The investments in advanced manufacturing and technology systems are often extensive and their successful implementation requires the full support and commitment of senior management. Traditional justification methods are often directly tied to company cash flow and short return period and the investments in advanced technology projects are often rejected as a result of the long-term return commitment. In this research, we have developed a methodology to measure the intangible attributes, yet include both tangible and intangible attributes in the economic decision-making process. Multiple attributes that may influence the decision process are included and measured in the proposed method. We present a comprehensive numerical example demonstrating the capability of the methodology. Additionally, we present conclusions and recommendations for future research in this important area to the manufacturing sector. Advisors/Committee Members: Lim, Gino J. (committee member), Feng, Qianmei (committee member), Tekin, Eylem (committee member), Akladios, Magdy (committee member), Parsaei, Hamid R. (committee member).

Subjects/Keywords: Intangibles; Decision Makking

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

APA (6th Edition):

-4008-6008. (2016). A New Approach to Measure Intangibles in the Economic Analysis of Advanced Technology Projects. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3197

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

Chicago Manual of Style (16th Edition):

-4008-6008. “A New Approach to Measure Intangibles in the Economic Analysis of Advanced Technology Projects.” 2016. Thesis, University of Houston. Accessed August 20, 2019. http://hdl.handle.net/10657/3197.

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

MLA Handbook (7th Edition):

-4008-6008. “A New Approach to Measure Intangibles in the Economic Analysis of Advanced Technology Projects.” 2016. Web. 20 Aug 2019.

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

Vancouver:

-4008-6008. A New Approach to Measure Intangibles in the Economic Analysis of Advanced Technology Projects. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10657/3197.

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

Council of Science Editors:

-4008-6008. A New Approach to Measure Intangibles in the Economic Analysis of Advanced Technology Projects. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3197

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


University of Houston

2. Durukan Sonmez, Ayse 1984-. Facility Location and Relocation Problem: Models and Decomposition Algorithms.

Degree: Industrial Engineering, Department of, 2012, University of Houston

We consider the facility location and relocation problem (FLRP). Due to demand change in this problem, we may need to close some existing facilities from low demand areas and open new ones in newly emerging areas. Specifically, we discuss three optimization problems in FLRP. The first problem is to locate a certain number of facilities at a point in time, knowing that demand is subject to change and the total number of facilities may increase in the future. We develop a binary integer programming (BIP) model to find a set of initial and future facility locations. Utilizing the block-angular structure of the model, a decomposition algorithm is proposed to solve the problem. The second problem is the robust facility relocation problem. Suppose we already have a set of facilities and the demand distribution over the network has changed, however, we do not know the actual changes of demand. Therefore, different scenarios with known probabilities are used to capture such demand changes. We present two approaches to solve this problem. In the first approach, we develop a BIP model that can determine α-reliable relocations that minimize the maximum regret associated with a set of scenarios whose cumulative probability is at least α. In the second approach, we develop a BIP model that minimizes the expected weighted distance and ensures that relative regret for each scenario is no more than γ. We propose a Lagrangean decomposition algorithm to solve this problem. The third problem, which is the dynamic facility location and relocation problem, is designed to find locations for facilities in the aftermath of disasters such as hurricanes and earthquakes, where the population is in need of essential commodities due to the lack of infrastructure. We develop three MIP models, each having different objectives, and propose a heuristic algorithm to solve this problem. Numerical experiments are made to show the efficiency and complexity of our optimization models. Advisors/Committee Members: Lim, Gino J. (advisor), Parsaei, Hamid R. (committee member), Ekici, Ali (committee member), Khumawala, Basheer (committee member), Vipulanandan, Cumaraswamy (committee member).

Subjects/Keywords: Facility Location and Relocation; Uncertainty; Decomposition Algorithms; Disaster Response; Industrial engineering

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

APA (6th Edition):

Durukan Sonmez, A. 1. (2012). Facility Location and Relocation Problem: Models and Decomposition Algorithms. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/734

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):

Durukan Sonmez, Ayse 1984-. “Facility Location and Relocation Problem: Models and Decomposition Algorithms.” 2012. Thesis, University of Houston. Accessed August 20, 2019. http://hdl.handle.net/10657/734.

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

MLA Handbook (7th Edition):

Durukan Sonmez, Ayse 1984-. “Facility Location and Relocation Problem: Models and Decomposition Algorithms.” 2012. Web. 20 Aug 2019.

Vancouver:

Durukan Sonmez A1. Facility Location and Relocation Problem: Models and Decomposition Algorithms. [Internet] [Thesis]. University of Houston; 2012. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10657/734.

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

Council of Science Editors:

Durukan Sonmez A1. Facility Location and Relocation Problem: Models and Decomposition Algorithms. [Thesis]. University of Houston; 2012. Available from: http://hdl.handle.net/10657/734

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

.