The emergence of advanced information technologies strengthens the capability to the entrepreneur to manage and manipulate data. However, the quality of information, the capability of providing the right information to the right person, and the utilization of information are still in doubt. Therefore, increasing numbers of firms have realized and started to develop as well as improve their existing information systems to fit the ever‐changing business needs of the organization to support decision‐making for the volatile business environment. Indeed, previous research studies have found that logistics management is the great frontier of cost reduction. Therefore, in this paper, an infrastructure of a decision support system is proposed to capture and maintain the business and resources allocation information with the adoption of the neural network for its artificial intelligent characteristic that mimic the operation of human brain to generate solutions systematically. The proposed system is adopted by a shipping company to assist allocation of containers.
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1 December 2004
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December 01 2004
A decision support system to facilitate resources allocation: an OLAP‐based neural network approach Available to Purchase
H.C.W. Lau;
H.C.W. Lau
Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
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A. Ning;
A. Ning
Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
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W.H. Ip;
W.H. Ip
Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
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K.L. Choy
K.L. Choy
Hong Kong Polytechnic University, Hunghom, Kowloon, Hong Kong
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Publisher: Emerald Publishing
Online ISSN: 1758-7786
Print ISSN: 1741-038X
© Emerald Group Publishing Limited
2004
Journal of Manufacturing Technology Management (2004) 15 (8): 771–778.
Citation
Lau H, Ning A, Ip W, Choy K (2004), "A decision support system to facilitate resources allocation: an OLAP‐based neural network approach". Journal of Manufacturing Technology Management, Vol. 15 No. 8 pp. 771–778, doi: https://doi.org/10.1108/17410380410565357
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