Intelligent apparel production planning for optimizing manual operations using fuzzy set theory and evolutionary algorithms

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Effective and accurate production planning is essential for garment manufacturers to survive in today's competitive apparel industry. Varying customer demands, shorter lifecycles and changing fashion trends are amongst the factors that make accurate production planning important. Manufacturers strive to fulfil requirements such as on-time completion, short production lead time and effective allocation of job order to specific production lines. However, effective production planning is difficult to achieve because the apparel manufacturing environment is fuzzy and dynamic. This paper suggests the use of intelligent production planning algorithms, based on fuzzy set theory, genetic algorithms (GA) and multi-objective genetic algorithms (MOGA), to achieve optimal solutions for apparel production planning.
Original languageEnglish
Title of host publicationIEEE SSCI 2011
Subtitle of host publicationSymposium Series on Computational Intelligence - GEFS 2011: 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems
Pages103-110
Number of pages8
DOIs
Publication statusPublished - 12 Aug 2011
EventSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2011 - Paris, France
Duration: 11 Apr 201115 Apr 2011

Conference

ConferenceSymposium Series on Computational Intelligence, IEEE SSCI 2011 - 2011 IEEE 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, GEFS 2011
Country/TerritoryFrance
CityParis
Period11/04/1115/04/11

Keywords

  • Apparel Production Planning and Learning Curve Effects
  • Evolutionary computing and genetic algorithm
  • Fuzzy set

ASJC Scopus subject areas

  • Discrete Mathematics and Combinatorics
  • Logic

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