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A Robust Weighted Goal Programming Approach for Supplier Selection Problem with Inventory Management and Vehicle Allocation in Uncertain Environment

  • Lishuai Wang
  • Jun LiEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1002)

Abstract

This research work deals with the multi-product multi-period supplier selection problem with inventory management and vehicle allocation in uncertain environment. In this paper, a robust weighted goal programming approach is developed to solve the multi-product multi-period supplier selection problem. The purpose is to consider parameter uncertainty by controlling the impact of estimation errors on the procurement strategy performance. In the proposed model, total costs, rejected items and late-delivered items are considered as three objectives that have to be minimized over the decision horizon. To illustrate the feasibility of the proposed model, a numerical example is presented.

Keywords

Supplier selection Robust weighted goal programming Multi-objective optimization 

Notes

Acknowledgment

We are thankful for financial support from the National Natural Science Foundations (Grant No. 71571031).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Economics and ManagementUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China

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