Logistics and supply chain management with artificial intelligence techniques / guest editor Felix Chan.

Format:

Book

Contributor:

Chan, Felix.

Series:

Journal of manufacturing technology management ; volume 15, number 8

Journal of manufacturing technology management ; v.15, no. 8, pt. 1

Language:

English

Subjects (All):

Business logistics.

Industrial management.

Physical Description:

1 online resource (83 pages)

Edition:

1st ed.

Place of Publication:

Bradford, England : Emerald Group Publishing, c2004.

Language Note:

English

Summary:

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

Contents:

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.

Notes:

Description based upon print version of record.

ISBN:

1-280-51469-8

9786610514694

1-84544-210-5

OCLC:

61371388