Simulated Annealing for Solving Piecewise Linear Supplier Selection Problem Considering Quantity Discounts

Authors

  • N. Arunkumar Department of Mechanical Engineering, Anna University
  • L. Karunamoorthy Department of Mechanical Engineering, Anna University
  • N. Uma Makeshwaraa Mechanical Engineering, University of Texas at Austin

DOI:

https://doi.org/10.23055/ijietap.2008.15.2.116

Keywords:

Supplier selection, Multi-objective, Combinatorial, Simulated annealing

Abstract

Supplier selection problems are often complicated due to the conflicting objectives and constraints that need to be considered while selection. This problem becomes still more complicated with the inclusion of quantity discounts offered by the suppliers. A multi component multiple supplier selection model considering quantity discounts under incremental quantity discount scenario is proposed in this paper. The combinatorial nature of the supplier selection problem motivates to explore the use meta-heuristic algorithm for solving this complex problem. The proposed model is evaluated using simulated annealing in this article. The results were found to be near optimal along with the generation of alternate set of solutions. Such type of solutions will be very useful to manufacturing firm where the purchase manager would also like to look at options for alternative solutions.

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Published

2022-02-25

How to Cite

Arunkumar, N., Karunamoorthy, L., & Uma Makeshwaraa, N. (2022). Simulated Annealing for Solving Piecewise Linear Supplier Selection Problem Considering Quantity Discounts. International Journal of Industrial Engineering: Theory, Applications and Practice, 15(2), 155–165. https://doi.org/10.23055/ijietap.2008.15.2.116

Issue

Section

Supply Chain Management