Surendra M. Gupta
Sagar V. Kamarthi, Seamus M. McGovern
Date of Award
Doctor of Philosophy
Department or Academic Unit
College of Engineering, Department of Mechanical and Industrial Engineering
industrial engineering, disassembly, disassembly-to-order, end-of-life processing, revers supply chain
Disassembly is often the first crucial step in remanufacturing, reusing, and recycling. In order for manufacturers to disassemble end-of-life (EOL) products, they first need to obtain the EOL products for the disassembly process. However, several uncertainties exist in the disassembly process which further complicates the process and makes it more difficult to know in advance the exact number of EOL products needed for disassembly that would fulfill the different demands.
This dissertation focuses on the disassembly-to-order (DTO) system where a variety of EOL products are taken back or purchased from the end user for disassembly. EOL products are disassembled into individual components and materials to satisfy the different demands. To solve the problem, a DTO model is developed that take into consideration a number of system uncertainties. We explore various techniques to solve the DTO model. The main objective is to develop a DTO plan that determines the best combination of take-back EOL products to be purchased from each supplier in every period that would fulfill the demand while achieving various financial and environmental goals.
Amre Zuhair Massoud
Massoud, Amre Zuhair, "Solving the disassembly-to-order system under stochastic yields, limited supply, and quantity discount" (2010). Industrial Engineering Dissertations. Paper 4. http://hdl.handle.net/2047/d20000937
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