Solving a disassembly-to-order system by using genetic algorithm and weighted fuzzy goal programming
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-...
Published: |
|
---|---|
Online Access: | http://hdl.handle.net/2047/d10010063 |
Similar Items
-
Two Weighted Fuzzy Goal Programming Methods to Solve Multiobjective Goal Programming Problem
by: Mousumi Gupta, et al.
Published: (2012-01-01) -
Evolutionary computation with linear physical programming for solving a disassembly-to-order system
Published: () -
A fuzzy goal programming method to solve congestion management problem using genetic algorithm
by: Papun Biswas, et al.
Published: (2019-10-01) -
Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms
by: L. M. Galantucci, et al.
Published: (2004-06-01) -
Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms
by: L.M. Galantucci, et al.
Published: (2008-11-01)