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

School of Business Administration (Harrisburg)

Research output: Contribution to journal › Article › peer-review

37 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 language	English (US)
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
State	Published - Jul 2011

All Science Journal Classification (ASJC) codes

General Engineering
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2011.01.053

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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.}",

note = "Funding Information: The authors wish to thank the Research Office of The Hong Kong Polytechnic University and GSL Limited for supporting the project. ",

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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.

N1 - Funding Information: The authors wish to thank the Research Office of The Hong Kong Polytechnic University and GSL Limited for supporting the project.

PY - 2011/7

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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.

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

Abstract

All Science Journal Classification (ASJC) codes

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