A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty

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EKHTIARI MOSTAFA; ZANDIEH MOSTAFA; ALEM TABRIZ AKBAR; RABIEH MASOOD

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Journal Paper

Paper Information

Journal: International Journal of Industrial Engineering & Production Research Year:2018 | Volume:29 | Issue:1 Page(s): 1-14

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Title

A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty

Author(s)

EKHTIARI MOSTAFA | ZANDIEH MOSTAFA | ALEM TABRIZ AKBAR | RABIEH MASOOD | Issue Writer Certificate

Keywords

Multi-objective programming

Supplier selection

Nadir compromise programming

Stochastic programming

Abstract

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.

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APA: Copy

EKHTIARI, MOSTAFA, ZANDIEH, MOSTAFA, ALEM TABRIZ, AKBAR, & RABIEH, MASOOD. (2018). A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), 29(1), 1-14. SID. https://sid.ir/paper/733015/en

Vancouver: Copy

EKHTIARI MOSTAFA, ZANDIEH MOSTAFA, ALEM TABRIZ AKBAR, RABIEH MASOOD. A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty. INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH)[Internet]. 2018;29(1):1-14. Available from: https://sid.ir/paper/733015/en

IEEE: Copy

MOSTAFA EKHTIARI, MOSTAFA ZANDIEH, AKBAR ALEM TABRIZ, and MASOOD RABIEH, “A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty,” INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH (IJIE) (ENGLISH), vol. 29, no. 1, pp. 1–14, 2018, [Online]. Available: https://sid.ir/paper/733015/en

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