Supply Chain Optimisation Product/Process Design, Facility Location and Flow Control /

This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and sch...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dolgui, Alexandre. (Editor, http://id.loc.gov/vocabulary/relators/edt), Soldek, Jerzy. (Editor, http://id.loc.gov/vocabulary/relators/edt), Zaikin, Oleg. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2005.
Edition:1st ed. 2005.
Series:Applied Optimization, 94
Subjects:
Online Access:https://doi.org/10.1007/b101812
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This volume is a collection of recent key results in supply chain optimisation. It presents new approaches and methods based on operations research, artificial intelligence and computer sciences techniques for design of production systems, supply and inventory management, production planning and scheduling, facility location, transportation and logistics, supply flow optimisation via simulation, etc. The content focuses on a wide spectrum of optimisation problems taking into account supply chain paradigms, which create a pivotal idea to increase the productivity of modern production systems. The first part of the book presents a set of modelling techniques taking into account the enterprise integration problem, the knowledge management in the SME networks, and the human resources in business process engineering. The second part is dedicated to advanced optimisation methods for supply chain design and management which are based on mathematical programming and metaheuristics. The third part of this book deals with some examples of advanced applied decision aid tools directly linked to real industrial problems. Audience This volume is suitable for industrial engineers, faculty staff and graduate students in industrial engineering, management science, operations research, artificial intelligence and computer sciences. This book can be used as a reference for graduate courses and also for researchers and industrial engineers to capture current trends in this field.
Physical Description:XVI, 290 p. online resource.
ISBN:9780387235813
ISSN:1384-6485 ;