A Developed Framework for Sequencing of Mixed-model Assembly Line with Customer’s Satisfaction and Heterogeneous Operators

Authors

  • Masoud Rabbani School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • Seyedeh Zeinab Beladian Behbahan School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
  • Hamed Farrokhi-asl School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
  • Majedeh Esmizadeh School of Business, University of Kansas, Kansas, USA

DOI:

https://doi.org/10.14488/BJOPM.2020.027

Keywords:

Mixed model assembly line, Sequencing, SPEA2, Customer satisfaction, k-medoids

Abstract

Goals: We present a multi-objective mathematical model to determine the optimum production sequence of the mixed-model assembly line (MMAL). Maximizing customer satisfaction and minimizing costs are the objectives of the problem.

Methodology: Customers are divided into two clusters of high priority and low priority by k-medoids method. Also, to get closer to the real world, heterogeneous workers are considered. As the actual scale of the problem cannot be solved by an exact method, two meta-heuristic algorithms, namely Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Non-Dominated Sorting Genetic Algorithm II (NSGA-II) are proposed to solve the problem and reach approximate and efficient results in large scale.

Results: It observes that this model can plan the customers' orders by considering their satisfaction. Also, comparing the results of these algorithms indicates a slight superiority of the SPEA2 method.

Limitations of the investigation: This study is mainly limited by clustering criteria. In the future, more criteria can be considered for analyzing customer behavior and expanding customer clusters.

Practical implications: This model can help all manufacturers who use MMAL by providing a Pareto front for deciding between costs and customers' satisfaction.

Originality / Value: Applying k-medoids to cluster the customers for better orders management and proposing SPEA2 and NSGA-II for solving the problem are the main novelties of this study.

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Published

2020-10-06

How to Cite

Rabbani, M., Beladian Behbahan, S. Z., Farrokhi-asl, H., & Esmizadeh, M. (2020). A Developed Framework for Sequencing of Mixed-model Assembly Line with Customer’s Satisfaction and Heterogeneous Operators. Brazilian Journal of Operations & Production Management, 17(4), 1–20. https://doi.org/10.14488/BJOPM.2020.027

Issue

Vol. 17 No. 4 (2020)

Section

Research paper

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