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A Metaheuristic-Based Approach for the Capacitated Supply Chain Network Design Problem Including Imperfect Quality and Rework

contributor authorCastillo-Villar, Krystel K.
contributor authorHerbert-Acero, Jose F.
date accessioned2020-03-13T00:25:39Z
date available2020-03-13T00:25:39Z
date issued2014
identifier issn1556-603X
identifier other6920130.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1146340?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Metaheuristic-Based Approach for the Capacitated Supply Chain Network Design Problem Including Imperfect Quality and Rework
typeJournal Paper
contenttypeMetadata Only
identifier padid8329142
subject keywordscosting
subject keywordsdecision making
subject keywordsgenetic algorithms
subject keywordsindustrial economics
subject keywordsproduction facilities
subject keywordsquality control
subject keywordssimulated annealing
subject keywordssupply chains
subject keywordsGA
subject keywordsNPO-complete problem
subject keywordsSA
subject keywordsSCND decision-making process
subject keywordsSCND-COQ model
subject keywordscapacitated supply chain network design problem
subject keywordscost of quality
subject keywordseconomic profit
subject keywordsgenetic algorithm
subject keywordsimperfect quality
subject keywordsinspection
subject keywordslogistics costs
subject keywordsmanufacturing plants
subject keywordsmetaheuristic-based approach
subject keywordsoperational costs
subject keywordsproduct quality
subject keywordsquality-related costs
subject keywordsrework
subject keywordssimulated a
identifier doi10.1109/MCI.2014.2350934
journal titleComputational Intelligence Magazine, IEEE
journal volume9
journal issue4
filesize1991712
citations0


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