MOSS SOFTWARE: A NEW TOOL FOR MULTI-OBJECTIVE GREEN SUPPLIER SELECTION

Authors

  • Peral Toktas-Palut Department of Industrial Engineering, Doğuş University, İstanbul, Turkey https://orcid.org/0000-0002-8864-0904
  • Kıvanç Onan Department of Industrial Engineering, Doğuş University, İstanbul, Turkey
  • Mustafa Zahid Gürbüz Department of Computer Engineering, Doğuş University, İstanbul, Turkey
  • Birsen Gülden-Özdemir Department of Computer Engineering, Doğuş University, İstanbul, Turkey

DOI:

https://doi.org/10.23055/ijietap.2022.29.2.5903

Keywords:

Green supplier selection, Lot sizing, Quantity discount, Multi-objective optimization, Genetic algorithm, k-means clustering algorithm

Abstract

Competition between companies is getting more intense by the day. Corporations need to decrease costs while improving the quality and reliability of their deliveries. Meanwhile, the demand for environmentally sustainable products and operations is increasing. These issues are all compounded by the supplier relations between companies and their need to develop better economic and environmental supply chain contracts. This research thus aims to propose a tool, i.e., the MOSS Software, concerning the total cost, rate of defected materials, rate of late deliveries, and environmental improvement potential for suppliers. MOSS is a two-stage software. First, the objectives are included in a multi-objective evolutionary mathematical model, and the model is solved using the NSGA-III algorithm. In the second stage, as a post-Pareto analysis approach, the k-means algorithm is used for selecting representative solutions among Pareto sets by comparing silhouette values for different k values. An application of the MOSS software is also presented in this paper.

Author Biography

Peral Toktas-Palut, Department of Industrial Engineering, Doğuş University, İstanbul, Turkey

Peral Toktas-Palut is an Assistant Professor in the Department of Industrial Engineering at Doğuş University. She received her Ph.D. and B.Sc. degrees from Istanbul Technical University, Department of Industrial Engineering; and M.Sc. degree from Yeditepe University, Department of Systems Engineering. Her research interests focus on supply chain coordination through contracts, humanitarian logistics, and sustainable supply chains. She has several articles that have been published in indexed international journals and presented at scientific conferences. 

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Published

2022-04-20

How to Cite

Toktas-Palut, P., Onan, K., Zahid Gürbüz, M., & Gülden-Özdemir, B. (2022). MOSS SOFTWARE: A NEW TOOL FOR MULTI-OBJECTIVE GREEN SUPPLIER SELECTION. International Journal of Industrial Engineering: Theory, Applications and Practice, 29(2). https://doi.org/10.23055/ijietap.2022.29.2.5903

Issue

Vol. 29 No. 2 (2022):

Section

Supply Chain Management

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