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Concurrent Supply Chain Network & Manufacturing Systems Design Under Uncertain Parameters

Erenay, Bulent
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1459206318

Abstract Details

2016, Doctor of Philosophy (PhD), Ohio University, Mechanical and Systems Engineering (Engineering and Technology).
Global supply chain decisions, such as facility location, manufacturing system design, resource allocation, and distribution center location are long-term strategic decisions in nature and involve many uncertainties. Traditionally, a hierarchical approach is used design supply chain networks and manufacturing systems. First, the location of the facilities are determined, and then the manufacturing systems are designed at the selected locations. In this dissertation, a multi-stage supply chain network model is developed where locations of the plants and inner manufacturing system design are determined simultaneously for labor-intensive manufacturing companies. This dissertation aims to develop a decision making framework to integrate manufacturing systems and supply chain network design decisions considering optimal operator assignment and layered cellular manufacturing in mind. The industry studied is fashion jewelry manufacturing where labor cost is one of the major cost factors. Hence, optimizing the number of workers required for each operation, cell, and plant is critical for the cost efficiency of the entire supply chain. The optimal number of operators are determined for each manufacturing process, and then the optimal cell sizes are found for each manpower level using a heuristic procedure. The optimal number of manufacturing cells required to cover the uncertain demand is determined with mathematical modeling, and the designed layered cellular manufacturing systems for manufacturing stages are evaluated using Arena simulation models. The results of these models and methods are used as inputs while finding the optimal locations of the plants and allocating the optimal number of cells, workers, and machines for each selected plant. Different supply chain design alternatives considering various factors such as the shortest lead times, minimum capacity allocations, and multiple shifts are also studied.
Gursel A. Suer, Ph.D. (Advisor)
387 p.
Industrial Engineering; Operations Research
Supply chain management; stochastic programming; manufacturing systems; cellular manufacturing; mathematical modeling; simulation; heuristics; manpower allocation; cell loading; operator assignment; supply chain network design

Recommended Citations

Citations

  • Erenay, B. (2016). Concurrent Supply Chain Network & Manufacturing Systems Design Under Uncertain Parameters [Doctoral dissertation, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1459206318

    APA Style (7th edition)

  • Erenay, Bulent. Concurrent Supply Chain Network & Manufacturing Systems Design Under Uncertain Parameters . 2016. Ohio University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1459206318.

    MLA Style (8th edition)

  • Erenay, Bulent. "Concurrent Supply Chain Network & Manufacturing Systems Design Under Uncertain Parameters ." Doctoral dissertation, Ohio University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1459206318

    Chicago Manual of Style (17th edition)

ohiou1459206318
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© 2016, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.