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

doi:10.1016/j.eswa.2011.01.053

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 journal › Article › peer-review

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 language	English
Pages (from-to)	8524-8537
Number of pages	14
Journal	Expert Systems with Applications
Volume	38
Issue number	7
DOIs	https://doi.org/10.1016/j.eswa.2011.01.053
Publication status	Published - 2011

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

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.",

author = "Poon, {T. C.} and Choy, {K. L.} and Chan, {F. T. S.} and Ho, {G. T. S.} and A. Gunasekaran and Lau, {H. C. W.} and Chow, {H. K. H.}",

year = "2011",

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language = "English",

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T1 - A real-time warehouse operations planning system for small batch replenishment problems in production environment

AU - Poon, T. C.

AU - Choy, K. L.

AU - Chan, F. T. S.

AU - Ho, G. T. S.

AU - Gunasekaran, A.

AU - Lau, H. C. W.

AU - Chow, H. K. H.

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

UR - http://handle.uws.edu.au:8081/1959.7/553192

U2 - 10.1016/j.eswa.2011.01.053

DO - 10.1016/j.eswa.2011.01.053

M3 - Article

SN - 0957-4174

VL - 38

SP - 8524

EP - 8537

JO - Expert Systems with Applications

JF - Expert Systems with Applications

IS - 7

ER -

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

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