An efficient production material demand order management system for a mould manufacturing company

T. C. Poon, King Lun Tommy Choy, H. C.W. Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

In a real-life dynamic production environment, problems such as workers' absenteeism, machine breakdowns and loss of materials frequently occur. Small batches of production materials have to be delivered from a warehouse to the production shop floor often within a short period of time. In order to handle such material demand orders so as to maintain the productivity of the shop floor, it is essential to allocate warehouse resources effectively. In this article, an efficient production material demand order management system (PMDOMS) is proposed to cope with such issues. An automated data capturing technology - radio frequency identification and an advanced problem solving technique - genetic algorithms, are adopted in the PMDOMS. The integration of these technologies helps enterprises improve their operational efficiency on the production floor. Through application in a case study in the ABC Company, it is proved that PMDOMS significantly improves the productivity in both the production and the warehouse environment.
Original languageEnglish
Pages (from-to)754-766
Number of pages13
JournalProduction Planning and Control
Volume22
Issue number8
DOIs
Publication statusPublished - 1 Dec 2011

Keywords

  • Genetic algorithms
  • Pick-up route management
  • Resource management
  • RFID

ASJC Scopus subject areas

  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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