A real-time warehouse operations planning system for small batch replenishment problems in production environment

T. C. Poon, King Lun Tommy Choy, Tung Sun Chan, G. T S Ho, A. Gunasekaran, H. C W Lau, H. K H Chow

Research output: Journal article publicationJournal articleAcademic researchpeer-review

30 Citations (Scopus)

Abstract

A factory consists of numerous production workstations, multiple production lines and many production floors. Due to the characteristics of just-in-time and make-to-order mode manufacturing, small batches of production materials are required for production lines within a short period of time in order to facilitate daily production operations. In this paper, a real-time warehouse operation planning system (R-WOPS) for solving small batch replenishment problems is described. Through using R-WOPS, real-time production and warehouse operations are monitored by radio frequency identification (RFID) technology, and a genetic algorithm (GA) technique is applied to formulate feasible small batch replenishment solutions. Simulation tests show that R-WOPS generates pick-up and delivery route plans for small batch replenishment orders very efficiently.
Original languageEnglish
Pages (from-to)8524-8537
Number of pages14
JournalExpert Systems with Applications
Volume38
Issue number7
DOIs
Publication statusPublished - 1 Jul 2011

Keywords

  • Genetic algorithm (GA)
  • Radio frequency identification (RFID) technology
  • Small batch replenishment problem

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

Cite this