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Control Number312945
Date and Time of Latest Transaction20150706093829.AM
General Information150706s |||||||||b ||00|||
Cataloging SourceSTII-DOST
Local Call NumberScienceDirect
Main Entry - Personal NameNearchou, Andreas C.
Title StatementMaximizing production rate and workload smoothing in assembly lines using particle swarm optimization by Andreas C. Nearchou
Physical Descriptionpages 242-250 computer file; text; 382kb
Summary, Etc.Particle swarm optimization (PSO) one of the latest developed population heuristics has rarely been applied in production and operations management (POM) optimization problems. A possible reason for this absence is that, PSO was introduced as global optimizer over continuous spaces, while a large set of POM problems are of combinatorial nature with discrete decision variables. PSO evolves floating-point vectors (called particles) and thus, its application to POM problems whose solutions are usually presented by permutations of integers is not straightforward. This paper presents a novel method based on PSO for the simple assembly line balancing problem (SALBP), a well-known NP-hard POM problem. Two criteria are simultaneously considered for optimization: to maximize the production rate of the line (equivalently to minimize the cycle time), and to maximize the workload smoothing (i.e. to distribute the workload evenly as possible to the workstations of the assembly line). Emphasis is given on seeking a set of diverse Pareto optimal solutions for the bi-criteria SALBP. Extensive experiments carried out on multiple test-beds problems taken from the open literature are reported and discussed. Comparisons between the proposed PSO algorithm and two existing multi-objective population heuristics show a quite promising higher performance for the proposed approach
Subject Added Entry - Topical TermSocial sciences
 Optimization theory -- Analysis
 Management science -- Analysis
 Mathematical optimization -- Analysis
LocationDOST STII ScienceDirect NONPRINTS NP 14-16135 1 14-16135 Online/Download 2012-01-19
  
     
 
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Department of Science and Technology
Science and Technology Information InstituteScienceDirect
  
     
 
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