An Approach Based on Binary Multiple Criteria Programming for Supplier Selection Problem under Uncertainty
Publish place: 13th International Industrial Engineering Conference
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIEC13_263
تاریخ نمایه سازی: 14 شهریور 1396
Abstract:
Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. This paper develops a Nadir Compromise Programming model for decision-making under uncertainty on the supplier selection within the framework of binary programming. Depending on 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 (data certainty) and a solution approach resulted from combination of NCP and stochastic programming is introduced to solve the model in black (data uncertainty) situation. The paper also proposes a NCP model under certainty and uncertainty for solving problem under grey (combination of data certainty and uncertainty) conditions. The proposed approaches are illustrated for a real problem with multiple criteria and a simulation approach is designed to examine capabilities of the proposed model.
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Authors
Mostafa Ekhtiari
Department of Industrial Management, Management and Accounting, Shahid Beheshti University, Tehran, Iran
Mostafa Zandieh
Department of Industrial Management, Management and Accounting, Shahid Beheshti University, Tehran, Iran
Akbar Alam Tabriz
Department of Industrial Management, Management and Accounting, Shahid Beheshti University, Tehran, Iran
Masood Rabieh
Department of Industrial Management, Management and Accounting, Shahid Beheshti University, Tehran, Iran