A RFID case-based logistics resource management system for managing order-picking operations in warehouses

T. C. Poon, King Lun Tommy Choy, Harry K.H. Chow, Henry C.W. Lau, Tung Sun Chan, K. C. Ho

Research output: Journal article publicationJournal articleAcademic researchpeer-review

232 Citations (Scopus)


In the supply chain, a warehouse is an essential component for linking the chain partners. It is necessary to allocate warehouse resources efficiently and effectively to enhance the productivity and reduce the operation costs of the warehouse. Therefore, warehouse management systems (WMSs) have been developed for handling warehouse resources and monitoring warehouse operations. However, it is difficult to update daily operations of inventory level, locations of forklifts and stock keeping units (SKUs) in real-time by using the bar-code-based or manual-based warehouse management systems. In this paper, RFID technology is adopted to facilitate the collection and sharing of data in a warehouse. Tests are performed for evaluating the reading performance of both the active and passive RFID apparatus. With the help of the testing results, the efficient radio frequency cover ranges of the readers are examined for formulating a radio frequency identification case-based logistics resource management system (R-LRMS). The capabilities of R-LRMS are demonstrated in GSL Limited. Three objectives are achieved: (i) a simplification of RFID adoption procedure, (ii) an improvement in the visibility of warehouse operations and (iii) an enhancement of the productivity of the warehouse. The successful case example proved the feasibility of R-LRMS in real working practice.
Original languageEnglish
Pages (from-to)8277-8301
Number of pages25
JournalExpert Systems with Applications
Issue number4
Publication statusPublished - 1 May 2009


  • Case-based reasoning (CBR)
  • Radio frequency identification (RFID)
  • Warehouse management systems (WMSs)

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence


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