A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains

In manufacturing firms, there are many factors that can affect product completion time in production lines. However, in a real production environment, such factors are uncertain and increase the adverse effects on product completion time. This research focuses on the role of internal factors in smal...

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Autores principales:	Fahad Kh. A.O.H. Alazemi, Mohd Khairol Anuar Bin Mohd Ariffin, Faizal Bin Mustapha, Eris Elianddy bin Supeni
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	supply chain management uncertainty hybrid fuzzy–TOPSIS heuristic product completion time Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/d0af045eab404b5cbcce0f9617838dd0
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id	oai:doaj.org-article:d0af045eab404b5cbcce0f9617838dd0
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spelling	oai:doaj.org-article:d0af045eab404b5cbcce0f9617838dd02021-11-25T18:17:12ZA Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains10.3390/math92229192227-7390https://doaj.org/article/d0af045eab404b5cbcce0f9617838dd02021-11-01T00:00:00Zhttps://www.mdpi.com/2227-7390/9/22/2919https://doaj.org/toc/2227-7390In manufacturing firms, there are many factors that can affect product completion time in production lines. However, in a real production environment, such factors are uncertain and increase the adverse effects on product completion time. This research focuses on the role of internal factors in small- and medium-scale supply chains in developing countries, enhancing product completion time during the manufacturing process in fuzzy conditions. In the first step of this research, a list of factors was found clustered into six main groups: technology, human resources, machinery, material, facility design, and social factors. In the next step, fuzzy weights of each group factor were determined by a fuzzy inference system to reflect the uncertainty of the factors in utilizing product completion time. Then, a hybrid fuzzy–TOPSIS-based heuristic is proposed to generate and select the best production alternative. The outcomes showed that the proposed method could generate and select the alternative with a 10.13% lower product completion time. The findings also indicated that using the proposed fuzzy method will cause less minimum variance compared to the crisp mode.Fahad Kh. A.O.H. AlazemiMohd Khairol Anuar Bin Mohd AriffinFaizal Bin MustaphaEris Elianddy bin SupeniMDPI AGarticlesupply chain managementuncertaintyhybrid fuzzy–TOPSIS heuristicproduct completion timeMathematicsQA1-939ENMathematics, Vol 9, Iss 2919, p 2919 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	supply chain management uncertainty hybrid fuzzy–TOPSIS heuristic product completion time Mathematics QA1-939
spellingShingle	supply chain management uncertainty hybrid fuzzy–TOPSIS heuristic product completion time Mathematics QA1-939 Fahad Kh. A.O.H. Alazemi Mohd Khairol Anuar Bin Mohd Ariffin Faizal Bin Mustapha Eris Elianddy bin Supeni A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains
description	In manufacturing firms, there are many factors that can affect product completion time in production lines. However, in a real production environment, such factors are uncertain and increase the adverse effects on product completion time. This research focuses on the role of internal factors in small- and medium-scale supply chains in developing countries, enhancing product completion time during the manufacturing process in fuzzy conditions. In the first step of this research, a list of factors was found clustered into six main groups: technology, human resources, machinery, material, facility design, and social factors. In the next step, fuzzy weights of each group factor were determined by a fuzzy inference system to reflect the uncertainty of the factors in utilizing product completion time. Then, a hybrid fuzzy–TOPSIS-based heuristic is proposed to generate and select the best production alternative. The outcomes showed that the proposed method could generate and select the alternative with a 10.13% lower product completion time. The findings also indicated that using the proposed fuzzy method will cause less minimum variance compared to the crisp mode.
format	article
author	Fahad Kh. A.O.H. Alazemi Mohd Khairol Anuar Bin Mohd Ariffin Faizal Bin Mustapha Eris Elianddy bin Supeni
author_facet	Fahad Kh. A.O.H. Alazemi Mohd Khairol Anuar Bin Mohd Ariffin Faizal Bin Mustapha Eris Elianddy bin Supeni
author_sort	Fahad Kh. A.O.H. Alazemi
title	A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains
title_short	A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains
title_full	A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains
title_fullStr	A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains
title_full_unstemmed	A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains
title_sort	comprehensive fuzzy decision-making method for minimizing completion time in manufacturing process in supply chains
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d0af045eab404b5cbcce0f9617838dd0
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A Comprehensive Fuzzy Decision-Making Method for Minimizing Completion Time in Manufacturing Process in Supply Chains

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