Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system
Republicans and Democrats practically everywhere have been demonstrating concerns about environmental conservation to achieve sustainable development goals (SDGs) since the turn of the century. To promote fuel (energy) savings and a reduction in the amount of carbon dioxide CO2 emissions in several...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2025-01-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-2591.pdf |
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| author | Sajida Kousar Asma Alvi Nasreen Kausar Harish Garg Seifedine Kadry Jungeun Kim |
| author_facet | Sajida Kousar Asma Alvi Nasreen Kausar Harish Garg Seifedine Kadry Jungeun Kim |
| author_sort | Sajida Kousar |
| collection | DOAJ |
| description | Republicans and Democrats practically everywhere have been demonstrating concerns about environmental conservation to achieve sustainable development goals (SDGs) since the turn of the century. To promote fuel (energy) savings and a reduction in the amount of carbon dioxide CO2 emissions in several enterprises, actions have been taken based on the concepts described. This study proposes an environmentally friendly manufacturing system designed to minimize environmental impacts. Specifically, it aims to develop a sustainable manufacturing process that accounts for energy consumption and CO2 emissions from direct and indirect energy sources. A multi-objective mathematical model has been formulated, incorporating financial and environmental constraints, to minimize overall costs, energy consumption, and CO2 emissions within the manufacturing framework. The input model parameters for real-world situations are generally unpredictable, so a fuzzy multi-objective model will be developed as a way to handle it. The validity of the proposed ecological industrial design will be tested using a scenario-based approach. Results demonstrate the high reliability, applicability, and effectiveness of the proposed network when analyzed using the developed techniques. |
| format | Article |
| id | doaj-art-a750087e8cba43229f528cc0c08ac08a |
| institution | Kabale University |
| issn | 2376-5992 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj-art-a750087e8cba43229f528cc0c08ac08a2025-01-15T15:05:16ZengPeerJ Inc.PeerJ Computer Science2376-59922025-01-0111e259110.7717/peerj-cs.2591Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing systemSajida Kousar0Asma Alvi1Nasreen Kausar2Harish Garg3Seifedine Kadry4Jungeun Kim5Department of Mathematics and Statistics, International Islamic University, Islamabad, PakistanDepartment of Mathematics and Statistics, International Islamic University, Islamabad, PakistanDepartment of Mathematics, Faculty of Arts and Sciences, Yildiz Technical University, Istanbul, TurkiyeDepartment of Mathematics, Thapar Institute of Engineering & Technology (Deemed University), Patiala, Punjab, IndiaDepartment of Computer Science and Mathematics, Lebanese American University, Beirut, LebanonDepartment of Computer Engineering, Inha University, Incheon, Republic of South KoreaRepublicans and Democrats practically everywhere have been demonstrating concerns about environmental conservation to achieve sustainable development goals (SDGs) since the turn of the century. To promote fuel (energy) savings and a reduction in the amount of carbon dioxide CO2 emissions in several enterprises, actions have been taken based on the concepts described. This study proposes an environmentally friendly manufacturing system designed to minimize environmental impacts. Specifically, it aims to develop a sustainable manufacturing process that accounts for energy consumption and CO2 emissions from direct and indirect energy sources. A multi-objective mathematical model has been formulated, incorporating financial and environmental constraints, to minimize overall costs, energy consumption, and CO2 emissions within the manufacturing framework. The input model parameters for real-world situations are generally unpredictable, so a fuzzy multi-objective model will be developed as a way to handle it. The validity of the proposed ecological industrial design will be tested using a scenario-based approach. Results demonstrate the high reliability, applicability, and effectiveness of the proposed network when analyzed using the developed techniques.https://peerj.com/articles/cs-2591.pdfMulti-objective optimizationClosed-loop systemSustainability |
| spellingShingle | Sajida Kousar Asma Alvi Nasreen Kausar Harish Garg Seifedine Kadry Jungeun Kim Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system PeerJ Computer Science Multi-objective optimization Closed-loop system Sustainability |
| title | Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system |
| title_full | Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system |
| title_fullStr | Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system |
| title_full_unstemmed | Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system |
| title_short | Fuzzy multi-objective optimization model to design a sustainable closed-loop manufacturing system |
| title_sort | fuzzy multi objective optimization model to design a sustainable closed loop manufacturing system |
| topic | Multi-objective optimization Closed-loop system Sustainability |
| url | https://peerj.com/articles/cs-2591.pdf |
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