An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization

Manufacturing companies are under constant pressure to optimize the economic sustainability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic productivity. This study proposes an integrated fuz...

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Autores principales:	Habib Zare, Mahyar Kamali Saraji, Madjid Tavana, Dalia Streimikiene, Fausto Cavallaro
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	production planning optimization fuzzy logic TOC sustainability cable industry Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2cb3410a1d6a48ef985cf7dfe9d0ed8d
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spelling	oai:doaj.org-article:2cb3410a1d6a48ef985cf7dfe9d0ed8d2021-11-25T19:03:53ZAn Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization10.3390/su1322127282071-1050https://doaj.org/article/2cb3410a1d6a48ef985cf7dfe9d0ed8d2021-11-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/22/12728https://doaj.org/toc/2071-1050Manufacturing companies are under constant pressure to optimize the economic sustainability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic productivity. This study proposes an integrated fuzzy goal planning and the theory of constraints for production planning and optimization. To this end, a hybrid Delphi–Buckley method was used to identify the relevant goals and a paired matrix questionnaire was used to determine the fuzzy weights of the goals. Furthermore, a fuzzy bottleneck detection algorithm was used to deal with the bottlenecks. A case study in the cable industry is presented to demonstrate the applicability and exhibit the efficiency of the proposed model. The results indicate that production planning in the cable industry could experience less deviation, almost 11% less, from the goals by applying the fuzzy goal programming under the theory of constraints, compared to the traditional method or crisp-goal programming.Habib ZareMahyar Kamali SarajiMadjid TavanaDalia StreimikieneFausto CavallaroMDPI AGarticleproduction planningoptimizationfuzzy logicTOCsustainabilitycable industryEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 12728, p 12728 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	production planning optimization fuzzy logic TOC sustainability cable industry Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	production planning optimization fuzzy logic TOC sustainability cable industry Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Habib Zare Mahyar Kamali Saraji Madjid Tavana Dalia Streimikiene Fausto Cavallaro An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization
description	Manufacturing companies are under constant pressure to optimize the economic sustainability of their production systems. Production planning and optimization is a well-established strategy for considering resource constraints and improving economic productivity. This study proposes an integrated fuzzy goal planning and the theory of constraints for production planning and optimization. To this end, a hybrid Delphi–Buckley method was used to identify the relevant goals and a paired matrix questionnaire was used to determine the fuzzy weights of the goals. Furthermore, a fuzzy bottleneck detection algorithm was used to deal with the bottlenecks. A case study in the cable industry is presented to demonstrate the applicability and exhibit the efficiency of the proposed model. The results indicate that production planning in the cable industry could experience less deviation, almost 11% less, from the goals by applying the fuzzy goal programming under the theory of constraints, compared to the traditional method or crisp-goal programming.
format	article
author	Habib Zare Mahyar Kamali Saraji Madjid Tavana Dalia Streimikiene Fausto Cavallaro
author_facet	Habib Zare Mahyar Kamali Saraji Madjid Tavana Dalia Streimikiene Fausto Cavallaro
author_sort	Habib Zare
title	An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization
title_short	An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization
title_full	An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization
title_fullStr	An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization
title_full_unstemmed	An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization
title_sort	integrated fuzzy goal programming—theory of constraints model for production planning and optimization
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2cb3410a1d6a48ef985cf7dfe9d0ed8d
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An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization

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