A HYBRID HEURISTIC ALGORITHM FOR INTEGRATED PROBLEM OF MACHINE SCHEDULING AND UNIDIRECTIONAL FLOW PATH DESIGN

Authors

  • Yan Zheng Korea University
  • Yujie Xiao Nanjing University of Finance and Economics
  • Yoonho Seo Korea University

DOI:

https://doi.org/10.23055/ijietap.2015.22.6.1566

Keywords:

Integrated problem, Flow path design, Operation sequence, Particle swarm optimization

Abstract

During the past few decades, unidirectional flow path design (UFD) and machines scheduling (MS) problems have been studied separately. However, the separate considerations of UFD and MS cannot guarantee the global optimal solution for the whole production. The reason is that UFD and MS are closely interrelated in the real production situation. This paper is to propose a new integrated model, called iUFD/MS, with the objective of minimizing makespan. In iUFD/MS, UFD andMS problems are simultaneously considered. Due to the high complexity of iUFD/MS, a hybrid heuristic algorithm based on particle swarm optimization is developed to get an optimal or near-optimal solution within a reasonable time period. To validate our integrated model, a set of experiments is solved by applying the proposed solution method and the traditional method, respectively. The result shows that our integratd modelcan efficiently reducemakespan by 9.6% on average.

Author Biographies

Yan Zheng, Korea University

Dept. of Industrial Management Eng.

Yujie Xiao, Nanjing University of Finance and Economics

School of Marketing and Logistic Management

Yoonho Seo, Korea University

Dept. of Industrial Management Engineering

Published

2016-01-14

How to Cite

Zheng, Y., Xiao, Y., & Seo, Y. (2016). A HYBRID HEURISTIC ALGORITHM FOR INTEGRATED PROBLEM OF MACHINE SCHEDULING AND UNIDIRECTIONAL FLOW PATH DESIGN. International Journal of Industrial Engineering: Theory, Applications and Practice, 22(6). https://doi.org/10.23055/ijietap.2015.22.6.1566

Issue

Section

Data Sciences and Computational Intelligence