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Vol.4 , No. 5, Publication Date: Oct. 13, 2017, Page: 45-57
 products received for product recovery are disassembled to help satisfy all the demands. When the products are received by a product recovery facility, the quality or the conditions of the received EOL products are unknown. This uncertainty leads to stochastic disassembly yields. In this paper, an Advanced-Remanufacturing-To-Order-Disassembly-To-Order system (ARTODTO), which uses heuristic techniques to convert the stochastic disassembly yields into their deterministic equivalents, is proposed. Once the deterministic problem is formulated, multi-criteria decision-making techniques are used to evaluate the design alternatives of EOL products, and to determine the best design or combination of designs to satisfy all the demands, and constraints. In this paper, four criteria are considered for evaluating the design alternatives, viz., total profit, procurement cost, purchase cost, and disposal cost in three periods. A multi-criteria decision making technique known as Goal Programming (GP) is used to solve the problem. An example using Air Conditioners (ACs) is considered to illustrate the implementation of the methodology.&picture=http://www.aascit.org/aascit/decorators/img/journal/912.jpg)
| [1] | Aditi D. Joshi, Department of Mechanical and Industrial Engineering, Northeastern University, Boston, USA. |
| [2] | Surendra M. Gupta, Department of Mechanical and Industrial Engineering, Northeastern University, Boston, USA. |
Disassembly is an important process that is normally performed before any other product recovery technique is implemented. The End-Of-Life (EOL) products received for product recovery are disassembled to help satisfy all the demands. When the products are received by a product recovery facility, the quality or the conditions of the received EOL products are unknown. This uncertainty leads to stochastic disassembly yields. In this paper, an Advanced-Remanufacturing-To-Order-Disassembly-To-Order system (ARTODTO), which uses heuristic techniques to convert the stochastic disassembly yields into their deterministic equivalents, is proposed. Once the deterministic problem is formulated, multi-criteria decision-making techniques are used to evaluate the design alternatives of EOL products, and to determine the best design or combination of designs to satisfy all the demands, and constraints. In this paper, four criteria are considered for evaluating the design alternatives, viz., total profit, procurement cost, purchase cost, and disposal cost in three periods. A multi-criteria decision making technique known as Goal Programming (GP) is used to solve the problem. An example using Air Conditioners (ACs) is considered to illustrate the implementation of the methodology.
Keywords
Reverse Supply Chains, Disassembly, Design Alternatives, Goal Programming
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