A graph-based decision support system for analyzing hybrid make-to-stock/make-to-order manufacturing environments
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
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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ABEPRO |
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Brazilian Journal of Operations & Production Management (Online) |
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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 |
_version_ |
1797051461472878592 |