Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study)
In the present paper, the cogeneration program in the form of an inverse supply chain using multi-objective mathematical modeling in conditions of uncertainty is considered. The supply chain process consists of three levels including suppliers, manufacturers and customers, and there is a maintenance...
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University of Qom
2023-03-01
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| Series: | مدیریت مهندسی و رایانش نرم |
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| Online Access: | https://jemsc.qom.ac.ir/article_1850_97a0d48e68e9acebb3461c8489b570cf.pdf |
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| author | Saeid Rezaie Moghadam Aslan Doosti |
| author_facet | Saeid Rezaie Moghadam Aslan Doosti |
| author_sort | Saeid Rezaie Moghadam |
| collection | DOAJ |
| description | In the present paper, the cogeneration program in the form of an inverse supply chain using multi-objective mathematical modeling in conditions of uncertainty is considered. The supply chain process consists of three levels including suppliers, manufacturers and customers, and there is a maintenance center and a reconstruction center. The first objective function of the model is to minimize costs; the second objective is to maximize the quality of the product. In the mentioned supply chain, the third and fourth objective functions represent minimizing the total weight of the maximum shortage among customers and maximizing the total weight of the minimum supply of goods from suppliers. In this model, the third objective function is designed in conditions of uncertainty using the Malloy stabilization method based on scenario writing. It is called MPSOGA. |
| format | Article |
| id | doaj-art-bbaed767b7f640bc8b5b4bb16d021db2 |
| institution | Kabale University |
| issn | 2538-6239 2538-2675 |
| language | fas |
| publishDate | 2023-03-01 |
| publisher | University of Qom |
| record_format | Article |
| series | مدیریت مهندسی و رایانش نرم |
| spelling | doaj-art-bbaed767b7f640bc8b5b4bb16d021db22025-01-30T20:18:26ZfasUniversity of Qomمدیریت مهندسی و رایانش نرم2538-62392538-26752023-03-01822122351850Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study)Saeid Rezaie Moghadam0Aslan Doosti1Instructor, Department of Management, omidiyeh Branch, Islamic Azad University, omidiyeh, Iran. Email: kasra_kk200218@yahoo.comDepartment of Mathematics, Mashhad Branch, Islamic Azad University, Mashhad, Iran. Email: Aslan_Doosti@gmail.comIn the present paper, the cogeneration program in the form of an inverse supply chain using multi-objective mathematical modeling in conditions of uncertainty is considered. The supply chain process consists of three levels including suppliers, manufacturers and customers, and there is a maintenance center and a reconstruction center. The first objective function of the model is to minimize costs; the second objective is to maximize the quality of the product. In the mentioned supply chain, the third and fourth objective functions represent minimizing the total weight of the maximum shortage among customers and maximizing the total weight of the minimum supply of goods from suppliers. In this model, the third objective function is designed in conditions of uncertainty using the Malloy stabilization method based on scenario writing. It is called MPSOGA.https://jemsc.qom.ac.ir/article_1850_97a0d48e68e9acebb3461c8489b570cf.pdfaggregate production planningreverse supply chainmultipurpose mathematical modelmpsoga |
| spellingShingle | Saeid Rezaie Moghadam Aslan Doosti Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study) مدیریت مهندسی و رایانش نرم aggregate production planning reverse supply chain multipurpose mathematical model mpsoga |
| title | Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study) |
| title_full | Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study) |
| title_fullStr | Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study) |
| title_full_unstemmed | Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study) |
| title_short | Desining a Multi-Objective Mathematical Model of Cumulative Production Planning in Reverse Supply Chain With Production Quality Function Under Uncertainty and Using MPSOGA Tran-Innovation Algorithm (High-Tech Industry Case Study) |
| title_sort | desining a multi objective mathematical model of cumulative production planning in reverse supply chain with production quality function under uncertainty and using mpsoga tran innovation algorithm high tech industry case study |
| topic | aggregate production planning reverse supply chain multipurpose mathematical model mpsoga |
| url | https://jemsc.qom.ac.ir/article_1850_97a0d48e68e9acebb3461c8489b570cf.pdf |
| work_keys_str_mv | AT saeidrezaiemoghadam desiningamultiobjectivemathematicalmodelofcumulativeproductionplanninginreversesupplychainwithproductionqualityfunctionunderuncertaintyandusingmpsogatraninnovationalgorithmhightechindustrycasestudy AT aslandoosti desiningamultiobjectivemathematicalmodelofcumulativeproductionplanninginreversesupplychainwithproductionqualityfunctionunderuncertaintyandusingmpsogatraninnovationalgorithmhightechindustrycasestudy |