Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/18484
Title: A real-time warehouse operations planning system for small batch replenishment problems in production environment
Authors: Poon, TC
Choy, KL 
Chan, FTS 
Ho, GTS
Gunasekaran, A
Lau, HCW
Chow, HKH
Keywords: Genetic algorithm (GA)
Radio frequency identification (RFID) technology
Small batch replenishment problem
Issue Date: 2011
Publisher: Pergamon Press
Source: Expert systems with applications, 2011, v. 38, no. 7, p. 8524-8537 How to cite?
Journal: Expert systems with applications 
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.
URI: http://hdl.handle.net/10397/18484
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2011.01.053
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