An Evolutionary Algorithm and discrete event simulation for optimizing inspection strategies for multi-stage processes

The problem of determining the optimal inspection strategy for a given multi-stage production process, i.e. the inspection strategy that results in the lowest total inspection cost, while still assuring a required output quality, is modelled as a joint optimization of inspection location, type and i...

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Bibliographic Details
Published inEuropean journal of operational research Vol. 179; no. 3; pp. 621 - 633
Main Authors Van Volsem, Sofie, Dullaert, Wout, Van Landeghem, Hendrik
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 16.06.2007
Elsevier
Elsevier Sequoia S.A
SeriesEuropean Journal of Operational Research
Subjects
Algorithms
Evolutionary computations
Genetic algorithms
Inspection allocation
Inspections
Manufacturing
Metaheuristics
Optimization
Quality economics
Simulation
Studies
Quality economics
Evolutionary computations
Simulation
Metaheuristics
Inspection allocation
Online AccessGet full text
ISSN0377-2217
1872-6860
1872-6860
DOI10.1016/j.ejor.2005.03.054

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Summary:The problem of determining the optimal inspection strategy for a given multi-stage production process, i.e. the inspection strategy that results in the lowest total inspection cost, while still assuring a required output quality, is modelled as a joint optimization of inspection location, type and inspection limits. A fusion between a discrete event simulation to model the multi-stage process subject to inspection and to calculate the resulting inspection costs, and an Evolutionary Algorithm (EA) to optimize the inspection strategies, is suggested.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0377-2217
1872-6860
1872-6860
DOI:10.1016/j.ejor.2005.03.054