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

T. C. Poon, K. L. Choy, F. T.S. Chan, G. T.S. Ho, A. Gunasekaran, H. C.W. Lau, H. K.H. Chow

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

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 (US)
Pages (from-to)8524-8537
Number of pages14
JournalExpert Systems With Applications
Volume38
Issue number7
DOIs
StatePublished - Jul 2011

All Science Journal Classification (ASJC) codes

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

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