Volume 29, Issue 1 (IJIEPR 2018)  

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Abstract (811 Views)   |   Full-Text (PDF) (280 Downloads)     |   Highlights
  • 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.


Abstract (1105 Views)   |   Full-Text (PDF) (305 Downloads)     |   Highlights
  • Developing a tailored supplier selection and order allocation problem under risk factors.
  • Proposing a three-objectives mixed integer linear programming model.
  • Providing a case study from Iran’s Oil & Gas Drilling Industry.



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