Competition in Supply Chain Network: Retailers’ Risk Averseness Approach
نویسندگان
1 Department of Industrial Engineering, Islamic Azad University, Sanandaj Branch, Sanandaj, Kurdistan, Iran
2 Department of Industrial Management, Faculty of Management and Accounting, Shahid Beheshti University, G.C., Tehran, Iran
3 Department of Statistics and Actuarial Science, University of Waterloo, Ontario, Canada
4 Department of Industrial Engineering, Science and Research Branch, Islamic Azad university, Tehran, Iran
doi
10.22105/riej.2017.49171چکیده
This paper formulates a competitive supply chain network throughout a mixed integer linear programming problem, considering demand uncertainty and retailers risk averseness. That is, makes the model more realistic in comparison with the others. Employed conditional value at risk method through the data-driven approach, makes the model to be convex and sensitive to the risk averseness level. Finally, the model outputs and its results are illustrated through a numerical example.
