| Document Type
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BL
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| Record Number
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1028811
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| Doc. No
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b783181
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| Title & Author
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Logistics and supply chain management with artificial intelligence techniques.\ guest editor Felix Chan.
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| Publication Statement
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[Bradford, England] :: Emerald Pub.,, 2004.
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| Series Statement
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Journal of manufacturing technology management,; vol. 15, no. 8
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| Page. NO
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1 online resource
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| ISBN
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1845442105
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: 9781845442101
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1845440463
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| Notes
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Title from e-book cover screen (viewed Aug. 29, 2005).
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| Bibliographies/Indexes
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Includes bibliographical references.
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| Contents
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Guest editorial -- Performance measurement and evaluation of suppliers in supply chain -- Evaluation of the supplier performance using an evolutionary fuzzy-based approach -- Multi-agent architecture for supply chain management -- Supply chain scheduling using distributed parallel simulation -- A decision support system to facilitate resources allocation -- An object-based relational data base system using re-configurable finance and material objects -- Collaborative supply chain planning using the artificial neural network approach.
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| Abstract
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A product is valuable only when it can be delivered to the user/customer at the right time, to the right place, and with the right quality. This is particularly essential in today's e-commerce environment, which demands quick response, and short product life cycle. Previously published in: Journal of Manufacturing Technology Management, Volume 15, Number 8, 2004.
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| Subject
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Artificial intelligence.
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| Subject
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Business logistics-- Data processing.
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| Subject
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Artificial intelligence.
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| Subject
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BUSINESS ECONOMICS-- Green Business.
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| Subject
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Business logistics-- Data processing.
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| Dewey Classification
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658.8028563
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| LC Classification
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HD38.5L64 2004eb
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| Added Entry
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Chan, Felix W. H.
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