Solving a disassembly-to-order system by using genetic algorithm and weighted fuzzy goal programming

Title:
Solving a disassembly-to-order system by using genetic algorithm and weighted fuzzy goal programming
Creator:
Gupta, Surendra M. (Author)
Imtanavanich, Prasit (Author)
Language:
English
Publisher:
SPIE
Copyright date:
2006
Type of resource:
Text
Genre:
Articles
Format:
electronic
Digital origin:
born digital
Abstract/Description:

In this paper, Genetic Algorithm (GA) is used to solve the disassembly-to-order (DTO) problem. DTO is a system where a variety of returned products are disassembled to fulfill the demand for specified numbers of components and materials. The main objective is to determine the optimal number of take-back EOL (end-of-life) products for the DTO system which satisfy the desirable criteria of the system. We implement the Weighted Fuzzy Goal Programming (WFGP) to calculate the fitness values in GA process. We also consider product deterioration which affects the yield rates (e.g., older products tend to have lower yield rates for usable components) and use heuristic procedure to transform the stochastic disassembly yields into their deterministic equivalents. A numerical example is also considered.

Comments:
Originally published in the Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing VI, Boston, Massachusetts, pp. 54-56, October 1-3, 2006
Subjects and keywords:
Recycling (Waste (etc.))
Genetic Algorithm (GA)
end-of-life (EOL) products
disassembly-to-order (DTO)
Weighted Fuzzy Goal
Programming (WFGP)
Engineering
Permanent URL:
http://hdl.handle.net/2047/d10010063

Downloads