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Title of Journal: Int J Adv Manuf Technol

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Abbravation: The International Journal of Advanced Manufacturing Technology

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Springer London

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DOI

10.1016/j.bbr.2015.01.034

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1433-3015

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A particle swarm optimization algorithm with neigh

Authors: Can B Kalayci Surendra M Gupta
Publish Date: 2013/04/28
Volume: 69, Issue: 1-4, Pages: 197-209
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Abstract

For environmentally conscious and sustainable manufacturing manufacturers need to incorporate product recovery by designing manufacturing systems to include reverse manufacturing by considering both assembly and disassembly systems Just as the assembly line is considered the most efficient way to assemble a product the disassembly line is seen to be the most efficient way to disassemble a product While having some similarities to assembly disassembly is not the reverse of the assembly process The challenge lies in the fact that it possesses unique characteristics In this paper we consider a sequencedependent disassembly line balancing problem SDDLBP that is concerned with the assignment of disassembly tasks to a set of ordered disassembly workstations while satisfying the disassembly precedence constraints and optimizing the effectiveness of several measures considering sequencedependent part removal time increments SDDLBP is not a trivial problem since it is proven to be NPcomplete Further complications occur by considering multiple objectives including environmental and economic goals that are often contradictory Therefore it is essential that an efficient methodology be developed A new approach based on the particle swarm optimization algorithm with a neighborhoodbased mutation operator is proposed to solve the SDDLBP Case scenarios are considered and comparisons with ant colony optimization river formation dynamics and tabu search approaches are provided to demonstrate the superior functionality of the proposed algorithm

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