Simulated annealing algorithms for the two-machine makespan flowshop scheduling with truncated learning consideration

Authors

  • Chin-Chia Wu
  • Juei-Chao Chen
  • Wen-Hung Wu
  • Peng-Hsiang Hsu
  • Wen-Hsiang Wu

DOI:

https://doi.org/10.23055/ijietap.2011.18.8.372

Keywords:

scheduling, two-machine, simulated annealing, truncated learning function

Abstract

Scheduling with learning effects has kept more attention in the recent days. However, it can be found that the actual processing time of a given job drops to zero precipitously as the job has a big processing time or the number of jobs increases. Moreover, most researchers paid more attention on single-machine settings, and the flowshop settings then are relative unexplored. Motivated by these observations, this paper consider a two-machine makspan flowshop problem in which the actual job processing time is a function of depending on the jobs already processed and a control parameter. This paper develops a branch-and-bound algorithm and four simulated annealing algorithms for the problem. In addition, the experimental results of all proposed algorithms are also provided.

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Published

2011-10-20

How to Cite

Wu, C.-C., Chen, J.-C., Wu, W.-H., Hsu, P.-H., & Wu, W.-H. (2011). Simulated annealing algorithms for the two-machine makespan flowshop scheduling with truncated learning consideration. International Journal of Industrial Engineering: Theory, Applications and Practice, 18(8). https://doi.org/10.23055/ijietap.2011.18.8.372

Issue

Vol. 18 No. 8 (2011)

Section

Production Planning and Control

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