Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method
Locating facilities such as factories or warehouses is an important and strategic decision for any organization. Transportation costs, which often form a significant part of the price of goods offered, are a function of the location of the plans. To determine the optimal location of these designs, v...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2023-09-01
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| Series: | Foundations of Computing and Decision Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/fcds-2023-0014 |
| _version_ | 1827341019073478656 |
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| author | Chetthamrongchai Paitoon Sayed Biju Theruvil Artemova Elena Igorevna Sharma Sandhir Oudah Atheer Y. Al-Nussairi Ahmed Kateb Jumaah Bashar Bashar S. Heri Iswanto A. |
| author_facet | Chetthamrongchai Paitoon Sayed Biju Theruvil Artemova Elena Igorevna Sharma Sandhir Oudah Atheer Y. Al-Nussairi Ahmed Kateb Jumaah Bashar Bashar S. Heri Iswanto A. |
| author_sort | Chetthamrongchai Paitoon |
| collection | DOAJ |
| description | Locating facilities such as factories or warehouses is an important and strategic decision for any organization. Transportation costs, which often form a significant part of the price of goods offered, are a function of the location of the plans. To determine the optimal location of these designs, various methods have been proposed so far, which are generally definite (non-random). The main aim of the study, while introducing these specific algorithms, is to suggest a stochastic model of the location problem based on the existing models, in which random programming, as well as programming with random constraints are utilized. To do so, utilizing programming with random constraints, the stochastic model is transformed into a specific model that can be solved by using the latest algorithms or standard programming methods. Based on the results acquired, this proposed model permits us to attain more realistic solutions considering the random nature of demand. Furthermore, it helps attain this aim by considering other characteristics of the environment and the feedback between them. |
| first_indexed | 2024-03-07T21:33:45Z |
| format | Article |
| id | doaj.art-81e545b169244c2daacaae88dcc84d72 |
| institution | Directory Open Access Journal |
| issn | 2300-3405 |
| language | English |
| last_indexed | 2024-03-07T21:33:45Z |
| publishDate | 2023-09-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Foundations of Computing and Decision Sciences |
| spelling | doaj.art-81e545b169244c2daacaae88dcc84d722024-02-26T14:29:52ZengSciendoFoundations of Computing and Decision Sciences2300-34052023-09-0148334535510.2478/fcds-2023-0014Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming MethodChetthamrongchai Paitoon0Sayed Biju Theruvil1Artemova Elena Igorevna2Sharma Sandhir3Oudah Atheer Y.4Al-Nussairi Ahmed Kateb Jumaah5Bashar Bashar S.6Heri Iswanto A.71Faculty of Business Administration, Kasetsart University, Thailand2Department of Computer Science, Dhofar University, PO Box 2509, PCode 211, Salalah, Sultanate of Oman.3Professor, Doctor of Economics, Department of Economic Theory, Head of the Department, Kuban State Agrarian University Named after I.T. Trubilin, Krasnodar, Russian Federation, 350044, Krasnodar, Kalinina Street, 13.4Ph.D. in Management, Chitkara Business School, Faculty of Business Management, Chitkara University, Punjab, India5Department of Computer Sciences, College of Education for Pure Science, University of Thi-Qar, Iraq.6Al-Manara College For Medical Sciences, Maysan, Iraq.7Al-Nisour University College, Baghdad, Iraq.8Public Health Department, Faculty of Health Science, University of Pembangunan Nasional Veteran Jakarta, Jakarta, IndonesiaLocating facilities such as factories or warehouses is an important and strategic decision for any organization. Transportation costs, which often form a significant part of the price of goods offered, are a function of the location of the plans. To determine the optimal location of these designs, various methods have been proposed so far, which are generally definite (non-random). The main aim of the study, while introducing these specific algorithms, is to suggest a stochastic model of the location problem based on the existing models, in which random programming, as well as programming with random constraints are utilized. To do so, utilizing programming with random constraints, the stochastic model is transformed into a specific model that can be solved by using the latest algorithms or standard programming methods. Based on the results acquired, this proposed model permits us to attain more realistic solutions considering the random nature of demand. Furthermore, it helps attain this aim by considering other characteristics of the environment and the feedback between them.https://doi.org/10.2478/fcds-2023-0014location problemmathematical modelmeta-heuristic algorithmsservice levelstochastic modeling |
| spellingShingle | Chetthamrongchai Paitoon Sayed Biju Theruvil Artemova Elena Igorevna Sharma Sandhir Oudah Atheer Y. Al-Nussairi Ahmed Kateb Jumaah Bashar Bashar S. Heri Iswanto A. Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method Foundations of Computing and Decision Sciences location problem mathematical model meta-heuristic algorithms service level stochastic modeling |
| title | Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method |
| title_full | Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method |
| title_fullStr | Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method |
| title_full_unstemmed | Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method |
| title_short | Designing a Mathematical Model to Solve the Uncertain Facility Location Problem Using C Stochastic Programming Method |
| title_sort | designing a mathematical model to solve the uncertain facility location problem using c stochastic programming method |
| topic | location problem mathematical model meta-heuristic algorithms service level stochastic modeling |
| url | https://doi.org/10.2478/fcds-2023-0014 |
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