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Logistics and supply chain management with artificial intelligence techniques

Author: Felix Chan
Publisher: Bradford, England : Emerald Group Pub., ©2005.
Series: Journal of manufacturing technology management, v. 16, no. 1, pt. 2.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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  Read more...
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Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Felix Chan
ISBN: 1845440811 9781845440817 1280508353 9781280508356
OCLC Number: 133167114
Description: 1 online resource (120 pages).
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
Series Title: Journal of manufacturing technology management, v. 16, no. 1, pt. 2.
Responsibility: Guest editor, Dr. Felix Chan.

Abstract:

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 modeling with genetic algorithms; and scheduling models.

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