Skip to main navigation Skip to search Skip to main content

Permutation and non-permutation schedules for the flowline manufacturing cell with sequence dependent family setups

  • Kuo Ching Ying
  • , Jatinder N.D. Gupta
  • , Shih Wei Lin*
  • , Zen Jung Lee
  • *Corresponding author for this work
  • National Taipei University of Technology
  • University of Alabama in Huntsville
  • Chang Gung University
  • Huafan University

Research output: Contribution to journalJournal Article peer-review

46 Scopus citations

Abstract

Through the use of an effective simulated annealing algorithm, this paper presents an extensive computational investigation concerning the performance evaluation of non-permutation vs. permutation schedules for the flowline manufacturing cell with sequence dependent setup times. The results show that there are significant improvements made by using non-permutation schedules over permutation schedules regarding completion-time based and due-date based criteria. It is suggested that practitioners could adopt non-permutation schedules to improve their operational efficiency within a reasonable amount of computational effort.

Original languageEnglish
Pages (from-to)2169-2184
Number of pages16
JournalInternational Journal of Production Research
Volume48
Issue number8
DOIs
StatePublished - 01 2010
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Due dates
  • Flowshop manufacturing cell
  • Makespan
  • Non-permutation schedules
  • Scheduling
  • Sequence dependent family setups
  • Simulated annealing algorithm

Fingerprint

Dive into the research topics of 'Permutation and non-permutation schedules for the flowline manufacturing cell with sequence dependent family setups'. Together they form a unique fingerprint.

Cite this