Logistics and supply chain management with artificial intelligence techniques

guest editor Felix Chan

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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Year of publication:	c2004
Other Persons:	Chan, Felix (contributor)
Publisher:	Bradford, England : Emerald Group Publishing
Subject:	Lieferkette \| Supply chain \| Logistik \| Logistics \| Künstliche Intelligenz \| Artificial intelligence

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Extent:	Online-Ressource (83 p)
Series:	Journal of manufacturing technology management ; v.15, no. 8, pt. 1
Type of publication:	Book / Working Paper
Language:	English
Notes:	Description based upon print version of record Contents; Abstracts & keywords; 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; Reviewers; Note from the publisher; Electronic reproduction; Available via World Wide Web
ISBN:	1-84544-046-3 ; 978-1-84544-046-6
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012673006