A fuzzy-based assessment procedure for a clothing factory with waste-prevention consideration

Ping Chen Chang, Yi-Kuei Lin*, James C. Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

Production facilities, especially factories, should have long-term aspirations to be environmental responsible through adequate waste prevention and management processes. In this paper, we consider the case study of a clothing factory in China with significant labor-intensive operations. The factory's layout, process design, and materials management are aspects that can address the prevention and elimination of unnecessary transportation, processing waste, waiting time, inefficient work methods, inventory, and overproduction. This paper develops a fuzzy-based assessment procedure to consider waste prevention and management in the clothing industry. Here, the factory is modeled as a production unit using a fuzzy multistate network with labor-intensive operations. Using reliability analysis, we determine the probability of demand satisfaction to indicate whether the factory's waste prevention actions are effective. Further, we also show that the established fuzzy-based assessment procedure can consider both pessimistic and optimistic scenarios. Thus, this procedure is extremely useful to a production manager who seeks a comprehensive status of a clothing factory with a focus on consistent improvement.

Original languageEnglish
Pages (from-to)484-493
Number of pages10
JournalJournal of Cleaner Production
Volume108
DOIs
StatePublished - 1 Dec 2015

Keywords

  • Clothing factory
  • Clothing production network
  • Fuzzy-based assessment procedure
  • Process improvement
  • Waste prevention

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