Logistics and supply chain management with artificial intelligence techniques / Guest editor: Dr. Felix Chan.

Format:

Book

Contributor:

Chan, Felix.

Series:

Journal of manufacturing technology management ; v.16, no. 1, pt. 2

Language:

English

Subjects (All):

Artificial intelligence.

Computer integrated manufacturing systems.

Physical Description:

1 online resource (120 p.)

Edition:

1st ed.

Place of Publication:

Bradford, England : Emerald Group Publishing, c2005.

Language Note:

English

Summary:

The main focus of this e-book is to present recent developments and applications concerning global optimization with AI techniques for Logistics and Supply Chain Management (SCM). The papers selected comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds covering evolution algorithms for supply chain inventory planning; flexible order picking systems; hybrid Petri nets models; transportation systems; supply chain costing models; stochastic modelling with genetic algorithms; and scheduling models.

Contents:

CONTENTS; EDITORIAL ADVISORY BOARD; Guest editorial; Differential evolution algorithm for supply chain inventory planning; Design and control of a flexible order-picking system (FOPS); A hybrid Petri nets model of networked manufacturing systems and its control system architecture; Traffic control in transportation systems; Model-supported supply chains for cost-efficient intelligent enterprises; Stochastic modeling of a two-echelon multiple sourcing supply chain system with genetic algorithm; An aircraft service scheduling model using genetic algorithms

Notes:

Description based upon print version of record.

ISBN:

1-280-50835-3

9786610508358

1-84544-243-1

OCLC:

171579479