A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty
Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. Regarding the fact that decision makers (DMs) consider conflicting criteria for selecting suppliers, multiple-criteria programming is a promis...
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| Format: | Article |
| Language: | English |
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Iran University of Science & Technology
2018-03-01
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| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-313-1&slc_lang=en&sid=1 |
| _version_ | 1811239264116015104 |
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| author | Mostafa Ekhtiari Mostafa Zandieh Akbar Alem-Tabriz Masood Rabieh |
| author_facet | Mostafa Ekhtiari Mostafa Zandieh Akbar Alem-Tabriz Masood Rabieh |
| author_sort | Mostafa Ekhtiari |
| collection | DOAJ |
| description | Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. Regarding the fact that decision makers (DMs) consider conflicting criteria for selecting suppliers, multiple-criteria programming is a promising approach to solve the problem. This paper develops a nadir compromise programming (NCP) model for decision-making under uncertainty on the selection of suppliers within the framework of binary programming. Depending on the condition of uncertainty, three statuses are taken into consideration and a solution approach is proposed for each status. A pure deterministic NCP model is presented for solving the problem in white condition (certainty of data) and a solution approach resulted from combination of NCP and stochastic programming is introduced to solve the model in black (uncertainty of data) situation. The paper also proposes a NCP model under certainty and uncertainty for solving problem under grey (a combination of certainty and uncertainty of data) conditions. The proposed approaches are illustrated for a real problem in steel industry with multiple objectives. Also, a simulation approach has been designed in order to examine the results obtained and also verifies capabilities of the proposed model. |
| first_indexed | 2024-04-12T12:56:46Z |
| format | Article |
| id | doaj.art-3a812bf2b3a24b68829abf3bfc6717b4 |
| institution | Directory Open Access Journal |
| issn | 2008-4889 2345-363X |
| language | English |
| last_indexed | 2024-04-12T12:56:46Z |
| publishDate | 2018-03-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj.art-3a812bf2b3a24b68829abf3bfc6717b42022-12-22T03:32:18ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2018-03-01291114A Nadir Compromise Programming for Supplier Selection Problem under UncertaintyMostafa Ekhtiari0Mostafa Zandieh1Akbar Alem-Tabriz2Masood Rabieh3 Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. Regarding the fact that decision makers (DMs) consider conflicting criteria for selecting suppliers, multiple-criteria programming is a promising approach to solve the problem. This paper develops a nadir compromise programming (NCP) model for decision-making under uncertainty on the selection of suppliers within the framework of binary programming. Depending on the condition of uncertainty, three statuses are taken into consideration and a solution approach is proposed for each status. A pure deterministic NCP model is presented for solving the problem in white condition (certainty of data) and a solution approach resulted from combination of NCP and stochastic programming is introduced to solve the model in black (uncertainty of data) situation. The paper also proposes a NCP model under certainty and uncertainty for solving problem under grey (a combination of certainty and uncertainty of data) conditions. The proposed approaches are illustrated for a real problem in steel industry with multiple objectives. Also, a simulation approach has been designed in order to examine the results obtained and also verifies capabilities of the proposed model.http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-313-1&slc_lang=en&sid=1Multi-objective programming Supplier selection Nadir compromise programming Stochastic programming |
| spellingShingle | Mostafa Ekhtiari Mostafa Zandieh Akbar Alem-Tabriz Masood Rabieh A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty International Journal of Industrial Engineering and Production Research Multi-objective programming Supplier selection Nadir compromise programming Stochastic programming |
| title | A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty |
| title_full | A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty |
| title_fullStr | A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty |
| title_full_unstemmed | A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty |
| title_short | A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty |
| title_sort | nadir compromise programming for supplier selection problem under uncertainty |
| topic | Multi-objective programming Supplier selection Nadir compromise programming Stochastic programming |
| url | http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-313-1&slc_lang=en&sid=1 |
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