Disassembly Line Scheduling with Genetic Algorithms

Authors

  • Luminița Duță Valahia State University Automatics and Computer Science Department Targoviste, Romania
  • Florin Gheorghe Filip The Romanian Academy-INCE and The National Institute for R&D in Informatics (ICI) Bucharest, Romania
  • Jean-Michel Henrioud Université de Franche Comté Besancon, France
  • Ciprian Popescu Valahia State University Automatics and Computer Science Department Targoviste, Romania

Keywords:

control, scheduling algorithms, evolutionary programming, genetic algorithms

Abstract

Disassembly is part of the demanufacturing and it is meant to obtain components and materials from end-of-life products. An essential performance objective of a disassembly process is the benefits it brings, that is the revenue brought by the retrieved parts and material, diminished by the cost of their retrieval operations. A decision must be taken to balance an automatic disassembly line. A well balanced line will decrease the cost of disassembly operations. An evolutionary (genetic) algorithm is used to deal with the multi-criteria optimization problem of the disassembly scheduling.

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Published

2008-09-01

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