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Supply Chain Coordination Mechanisms: New Approaches for Collaborative Planning 2010 Edition
Contributor(s): Albrecht, Martin (Author)
ISBN: 3642028322     ISBN-13: 9783642028328
Publisher: Springer
OUR PRICE:   $52.24  
Product Type: Paperback - Other Formats
Published: October 2009
Qty:
Annotation:

Integrated supply chain planning is well understood by theory and widely applied in practice a " however, only with respect to intra-organisational supply chains. In inter-organisational supply chains, an additional, yet unresolved problem arises: due to confidentiality reasons, decentralized parties keep their local data private, which prevents an integrated planning. Local planning procedures such as upstream planning, which are usually applied then, result in suboptimal solutions for the supply chain as a whole.

In this work, new mechanisms for inter-organizational, collaborative supply chain planning are presented. These mechanisms are able to identify the systemwide optimum for several classes of supply chain planning problems. They can be applied by two or more self-interested parties and do not require a trusted third party. Extensive computational tests for randomly generated and real-word data suggest a favorable performance of these mechanisms.

Additional Information
BISAC Categories:
- Business & Economics | Production & Operations Management
- Business & Economics | Management - General
Dewey: 658.5
LCCN: 2009931327
Series: Lecture Notes in Economic and Mathematical Systems
Physical Information: 0.5" H x 6.14" W x 9.21" (0.74 lbs) 211 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Integrated supply chain planning is well understood by theory and widely applied in practice - however, only with respect to intra-organisational supply chains. In inter-organisational supply chains, an additional, yet unresolved problem arises: due to confidentiality reasons, decentralized parties keep their local data private, which prevents an integrated planning. Local planning procedures such as upstream planning, which are usually applied then, result in suboptimal solutions for the supply chain as a whole. In this work, new mechanisms for inter-organizational, collaborative supply chain planning are presented. These mechanisms are able to identify the systemwide optimum for several classes of supply chain planning problems. They can be applied by two or more self-interested parties and do not require a trusted third party. Extensive computational tests for randomly generated and real-word data suggest a favorable performance of these mechanisms.