Volume 29, Issue 1 (IJIEPR 2018)                   IJIEPR 2018, 29(1): 1-14 | Back to browse issues page

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Ekhtiari M, Zandieh M, Alem-Tabriz A, Rabieh M. A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty. IJIEPR. 2018; 29 (1) :1-14
URL: http://ijiepr.iust.ac.ir/article-1-766-en.html
Associate Professor Department of Industrial Management, Management and Accounting Faculty, Shahid Beheshti University, G.C., Tehran, Iran , m_zandieh@sbu.ac.ir
Abstract:   (746 Views)

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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  • This paper considers the problem of selecting supplier within the framework of binary programming under three decision making assumptions with data of white, black and grey.
  • Nadir compromise programming (NCP) model is proposed for the problem of selecting supplier under white conditions.
  • A combination of NCP model and stochastic programming (SP) is proposed for black conditions.
  • A hybrid NCP model is proposed for the grey status under certainty and uncertainty conditions.
  • A simulation approach is designed to examine the results obtained and capabilities of the proposed model.

Type of Study: Research | Subject: Decision Analysis and Methods
Received: 2017/06/7 | Accepted: 2018/01/27 | Published: 2018/02/24

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