A Multi-Objective Variable Neighborhood Search Algorithm for Precast Production Scheduling

Authors

  • Zong Lehuang Prince of Songkla University
  • Wanatchapong Kongkaew Prince of Songkla University

DOI:

https://doi.org/10.4186/ej.2020.24.6.139

Keywords:

precast production scheduling, multi-objective, metaheuristic, variable neighborhood search, spread and distance

Abstract

In real life, precast production schedulers face the challenges of creating a reasonable schedule to satisfy multiple conflicting objectives. Practical constraints and objectives encountered in the precast production scheduling problem (PPSP) were addressed, with the goal to minimize makespan and total earliness and tardiness penalties. A multi-objective variable neighborhood search (MOVNS) algorithm was proposed and the performance was tested on 11 problem instances. Ten of these were generated using precast concrete production information taken from the literature. One real industrial problem from a precast concrete company was considered as a case study. Extensive experiments were conducted, and the spread and distance metrics were used to evaluate the quality of the non-dominated solutions set. Statistical analysis demonstrated that the result was statistically convincing. Computational results showed that the proposed MOVNS algorithm was significantly better when compared to the other nine algorithms. Therefore, the proposed MOVNS algorithm was a very competitive method for the considered PPSP.

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Author Biographies

Zong Lehuang

Department of Industrial Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand

Wanatchapong Kongkaew

Department of Industrial Engineering, Faculty of Engineering, Prince of Songkla University, Songkhla 90110, Thailand

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Published In
Vol 24 No 6, Nov 30, 2020
How to Cite
[1]
Z. Lehuang and W. Kongkaew, “A Multi-Objective Variable Neighborhood Search Algorithm for Precast Production Scheduling”, Eng. J., vol. 24, no. 6, pp. 139-157, Nov. 2020.