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dc.contributor.authorTorkabadi, Aydin M.
dc.contributor.authorMayorga, Rene V.
dc.date.accessioned2018-05-21T15:59:53Z
dc.date.available2018-05-21T15:59:53Z
dc.date.issued2018-03
dc.identifier.citationTorkabadi, A. M.; Mayorga, R. V. Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach. "Journal of Industrial Engineering and Management", Març 2018, vol. 11, núm. 1, p. 161-184.
dc.identifier.issn2013-0953
dc.identifier.urihttp://hdl.handle.net/2117/117398
dc.description.abstractPurpose: Just-In-Time (JIT) production has continuously been considered by industrial practitioners and researchers as a leading strategy for the yet popular Lean production. Pull Production Control Policies (PPCPs) are the major enablers of JIT that locally control the level of inventory by authorizing the production in each station. Aiming to improve the PPCPs, three authorization mechanisms: Kanban, constant-work-in-process (ConWIP), and a hybrid system, are evaluated by considering uncertainty. Design/methodology/approach: Multi-Criteria Decision Making (MCDM) methods are successful in evaluating alternatives with respect to several objectives. The proposed approach of this study applies the fuzzy set theory together with an integrated Analytical Hierarchy Process (AHP) and a Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. Findings: The study finds that hybrid Kanban-ConWIP pull production control policies have a better performance in controlling the studied multi-layer multi-stage manufacturing and assembly system. Practical implications: To examine the approach a real case from automobile electro-mechanical part production industry is studied. The production system consists of multiple levels of manufacturing, feeding a multi-stage assembly line with stochastic processing times to satisfy the changing demand. Originality/value: This study proposes the integrated Kanban-ConWIP hybrid pull control policies and implements several alternatives on a multi-stage and multi-layer manufacturing and assembly production system. An integrated Fuzzy AHP TOPSIS method is developed to evaluate the alternatives with respect to several JIT criteria
dc.format.extent24 p.
dc.language.isoeng
dc.publisherOmniaScience
dc.rightsAttribution-NonCommercial 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
dc.subject.lcshProduction control
dc.subject.lcshJust-in-time systems
dc.subject.lcshFuzzy systems
dc.subject.lcshMultiple criteria decision making
dc.subject.otherJust-in-time manufacturing
dc.subject.otherKanban system
dc.subject.otherHybrid control policy
dc.subject.otherMulti-criteria decision making
dc.subject.otherFuzzy topsis
dc.titleEvaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
dc.typeArticle
dc.subject.lemacProducció -- Control
dc.subject.lemacJust a temps (Sistema)
dc.subject.lemacSistemes borrosos
dc.subject.lemacDecisió multicriteri
dc.identifier.doi10.3926/jiem.2528
dc.identifier.dlB-28744-2008
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.publicationNameJournal of Industrial Engineering and Management
local.citation.volume11
local.citation.number1
local.citation.startingPage161
local.citation.endingPage184


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