A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments

Detalhes bibliográficos
Autor(a) principal: Sammak Jalali, Moeen
Data de Publicação: 2020
Outros Autores: Fatemi Ghomi, S.M.T., Rabbani, Masoud
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Operations & Production Management (Online)
Texto Completo: https://bjopm.org.br/bjopm/article/view/910
Resumo: Goal: This paper aims to facilitate production-planning strategies for demand responsiveness. Our paper implements graph-rewriting systems towards supporting operative decision making in production environments. Design/Methodology/Approach: We design a decision support approach which is able to recognize and resolve conflicts amongst workstations in a hybrid production system. During the proposed stages of the presented approach, we rewrite the hybrid system by means of graph representation procedure, identify conflicts among the workstations by means of the developed graph coloring algorithm, and evaluate performance of the reorganized system by defining key performance indicators for the presented system. Results: We prove that the graphs’ chromatic numbers in such systems are less than or equal to entire number of dummy nodes applied to the system by means of our proposed algorithm. Furthermore, the presented structure improves the performance of the system by analyzing production bottlenecks. Limitations of the investigations: we only considered the Key Performance Indicators according to products, workstations, and customers. However, the problem can be more generalized by adding some more elements. Practical Implications: Our methodology enables managers to assess the performance of the reorganized system after applying the heuristic algorithm, by means of representing a performance evaluation procedure. Originality/ Value: We focus on presenting a novel structure to help companies using hybrid make-to-stock (MTS)/make-to-order (MTO) production strategies to (1) identify conflicting workstations and the relations among them, (2) propose dialectical prioritization rules and techniques by means of graph-coloring concepts for resolving the conflicts, (3) reorganize the system, and evaluate performance.
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spelling A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environmentsHybrid production system; Heuristic algorithm; Graph coloring; conflict recognition.Goal: This paper aims to facilitate production-planning strategies for demand responsiveness. Our paper implements graph-rewriting systems towards supporting operative decision making in production environments. Design/Methodology/Approach: We design a decision support approach which is able to recognize and resolve conflicts amongst workstations in a hybrid production system. During the proposed stages of the presented approach, we rewrite the hybrid system by means of graph representation procedure, identify conflicts among the workstations by means of the developed graph coloring algorithm, and evaluate performance of the reorganized system by defining key performance indicators for the presented system. Results: We prove that the graphs’ chromatic numbers in such systems are less than or equal to entire number of dummy nodes applied to the system by means of our proposed algorithm. Furthermore, the presented structure improves the performance of the system by analyzing production bottlenecks. Limitations of the investigations: we only considered the Key Performance Indicators according to products, workstations, and customers. However, the problem can be more generalized by adding some more elements. Practical Implications: Our methodology enables managers to assess the performance of the reorganized system after applying the heuristic algorithm, by means of representing a performance evaluation procedure. Originality/ Value: We focus on presenting a novel structure to help companies using hybrid make-to-stock (MTS)/make-to-order (MTO) production strategies to (1) identify conflicting workstations and the relations among them, (2) propose dialectical prioritization rules and techniques by means of graph-coloring concepts for resolving the conflicts, (3) reorganize the system, and evaluate performance.Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)2020-02-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://bjopm.org.br/bjopm/article/view/91010.14488/BJOPM.2020.009Brazilian Journal of Operations & Production Management; Vol. 17 No. 1 (2020): March, 2020; 1-162237-8960reponame:Brazilian Journal of Operations & Production Management (Online)instname:Associação Brasileira de Engenharia de Produção (ABEPRO)instacron:ABEPROenghttps://bjopm.org.br/bjopm/article/view/910/919Copyright (c) 2020 Moeen Sammak Jalali, S.M.T. Fatemi Ghomi, Masoud Rabbaniinfo:eu-repo/semantics/openAccessSammak Jalali, MoeenFatemi Ghomi, S.M.T.Rabbani, Masoud2020-02-13T10:29:20Zoai:ojs.bjopm.org.br:article/910Revistahttps://bjopm.org.br/bjopmONGhttps://bjopm.org.br/bjopm/oaibjopm.journal@gmail.com2237-89601679-8171opendoar:2023-03-13T09:45:24.062797Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)false
dc.title.none.fl_str_mv A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
title A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
spellingShingle A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
Sammak Jalali, Moeen
Hybrid production system; Heuristic algorithm; Graph coloring; conflict recognition.
title_short A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
title_full A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
title_fullStr A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
title_full_unstemmed A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
title_sort A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
author Sammak Jalali, Moeen
author_facet Sammak Jalali, Moeen
Fatemi Ghomi, S.M.T.
Rabbani, Masoud
author_role author
author2 Fatemi Ghomi, S.M.T.
Rabbani, Masoud
author2_role author
author
dc.contributor.author.fl_str_mv Sammak Jalali, Moeen
Fatemi Ghomi, S.M.T.
Rabbani, Masoud
dc.subject.por.fl_str_mv Hybrid production system; Heuristic algorithm; Graph coloring; conflict recognition.
topic Hybrid production system; Heuristic algorithm; Graph coloring; conflict recognition.
description Goal: This paper aims to facilitate production-planning strategies for demand responsiveness. Our paper implements graph-rewriting systems towards supporting operative decision making in production environments. Design/Methodology/Approach: We design a decision support approach which is able to recognize and resolve conflicts amongst workstations in a hybrid production system. During the proposed stages of the presented approach, we rewrite the hybrid system by means of graph representation procedure, identify conflicts among the workstations by means of the developed graph coloring algorithm, and evaluate performance of the reorganized system by defining key performance indicators for the presented system. Results: We prove that the graphs’ chromatic numbers in such systems are less than or equal to entire number of dummy nodes applied to the system by means of our proposed algorithm. Furthermore, the presented structure improves the performance of the system by analyzing production bottlenecks. Limitations of the investigations: we only considered the Key Performance Indicators according to products, workstations, and customers. However, the problem can be more generalized by adding some more elements. Practical Implications: Our methodology enables managers to assess the performance of the reorganized system after applying the heuristic algorithm, by means of representing a performance evaluation procedure. Originality/ Value: We focus on presenting a novel structure to help companies using hybrid make-to-stock (MTS)/make-to-order (MTO) production strategies to (1) identify conflicting workstations and the relations among them, (2) propose dialectical prioritization rules and techniques by means of graph-coloring concepts for resolving the conflicts, (3) reorganize the system, and evaluate performance.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://bjopm.org.br/bjopm/article/view/910
10.14488/BJOPM.2020.009
url https://bjopm.org.br/bjopm/article/view/910
identifier_str_mv 10.14488/BJOPM.2020.009
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://bjopm.org.br/bjopm/article/view/910/919
dc.rights.driver.fl_str_mv Copyright (c) 2020 Moeen Sammak Jalali, S.M.T. Fatemi Ghomi, Masoud Rabbani
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Moeen Sammak Jalali, S.M.T. Fatemi Ghomi, Masoud Rabbani
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
publisher.none.fl_str_mv Brazilian Association for Industrial Engineering and Operations Management (ABEPRO)
dc.source.none.fl_str_mv Brazilian Journal of Operations & Production Management; Vol. 17 No. 1 (2020): March, 2020; 1-16
2237-8960
reponame:Brazilian Journal of Operations & Production Management (Online)
instname:Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron:ABEPRO
instname_str Associação Brasileira de Engenharia de Produção (ABEPRO)
instacron_str ABEPRO
institution ABEPRO
reponame_str Brazilian Journal of Operations & Production Management (Online)
collection Brazilian Journal of Operations & Production Management (Online)
repository.name.fl_str_mv Brazilian Journal of Operations & Production Management (Online) - Associação Brasileira de Engenharia de Produção (ABEPRO)
repository.mail.fl_str_mv bjopm.journal@gmail.com
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