Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach

Purpose: 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 authori...

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Detalles Bibliográficos
Autores: Torkabadi, Aydin M., Mayorga, Rene V.
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/117398
Acceso en línea:https://hdl.handle.net/2117/117398
https://dx.doi.org/10.3926/jiem.2528
Access Level:acceso abierto
Palabra clave:Production control
Just-in-time systems
Fuzzy systems
Multiple criteria decision making
Just-in-time manufacturing
Kanban system
Hybrid control policy
Multi-criteria decision making
Fuzzy topsis
Producció -- Control
Just a temps (Sistema)
Sistemes borrosos
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
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spelling Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis ApproachTorkabadi, Aydin M.Mayorga, Rene V.Production controlJust-in-time systemsFuzzy systemsMultiple criteria decision makingJust-in-time manufacturingKanban systemHybrid control policyMulti-criteria decision makingFuzzy topsisProducció -- ControlJust a temps (Sistema)Sistemes borrososDecisió multicriteriÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacionsPurpose: 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 criteriaPeer ReviewedOmniaScience20182018-03-0120182018-05-21journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/117398https://dx.doi.org/10.3926/jiem.2528reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial 3.0 Spainhttp://creativecommons.org/licenses/by-nc/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1173982026-05-27T15:37:01Z
dc.title.none.fl_str_mv Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
title Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
spellingShingle Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
Torkabadi, Aydin M.
Production control
Just-in-time systems
Fuzzy systems
Multiple criteria decision making
Just-in-time manufacturing
Kanban system
Hybrid control policy
Multi-criteria decision making
Fuzzy topsis
Producció -- Control
Just a temps (Sistema)
Sistemes borrosos
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
title_short Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
title_full Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
title_fullStr Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
title_full_unstemmed Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
title_sort Evaluation of Pull Production Control Strategies Under Uncertainty: An Integrated Fuzzy Ahp-Topsis Approach
dc.creator.none.fl_str_mv Torkabadi, Aydin M.
Mayorga, Rene V.
author Torkabadi, Aydin M.
author_facet Torkabadi, Aydin M.
Mayorga, Rene V.
author_role author
author2 Mayorga, Rene V.
author2_role author
dc.subject.none.fl_str_mv Production control
Just-in-time systems
Fuzzy systems
Multiple criteria decision making
Just-in-time manufacturing
Kanban system
Hybrid control policy
Multi-criteria decision making
Fuzzy topsis
Producció -- Control
Just a temps (Sistema)
Sistemes borrosos
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
topic Production control
Just-in-time systems
Fuzzy systems
Multiple criteria decision making
Just-in-time manufacturing
Kanban system
Hybrid control policy
Multi-criteria decision making
Fuzzy topsis
Producció -- Control
Just a temps (Sistema)
Sistemes borrosos
Decisió multicriteri
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions
description Purpose: 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
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-03-01
2018
2018-05-21
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/117398
https://dx.doi.org/10.3926/jiem.2528
url https://hdl.handle.net/2117/117398
https://dx.doi.org/10.3926/jiem.2528
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 3.0 Spain
http://creativecommons.org/licenses/by-nc/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial 3.0 Spain
http://creativecommons.org/licenses/by-nc/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv OmniaScience
publisher.none.fl_str_mv OmniaScience
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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