Hybrid Models for Dynamic Supply Chain Management: Potentials, Challenges and Research Directions - Softcover
Synopsis
Due to highly complex nature of a dynamic supply chain, modeling, analyzing, optimizing & redesigning of supply chain processes using formal and quantitative approaches is a challenging task. Many of the past studies neglected significant impacts of such integration issues and models from past studies were confined in their capability and applicability to analyze dynamic supply chain. The objective of this book is to develop viable modeling methodologies and analyzing algorithms for a dynamic supply chain so that the logic properties of supply chain process models can be analyzed and verified. This problem requires more attention it deserves in integrated supply chain literature till date. This book identifies key research gaps which are crucial in providing an insight that there is a significant opportunity to develop hybrid modeling approaches for supplier related issues. These hybrid approaches enhance the connection of the major building blocks in the supply chain and considering the dynamic nature of supply chain, the proposed hybrid approaches are utilized to study the impact of different supply chain strategies and policies.
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About the Author
Vipul Jain, graduated as an electrical engineer, holds M.Tech in Manufacturing Technology & Doctorate in Supply Chain Management. Presently, Assistant Professor in the Mechanical Engineering Department at IIT Delhi. He is in the editorial board for reputed journals and was involved in several European projects while working at INRIA France
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Hybrid Models for Dynamic Supply Chain Management
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LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3843352011
ISBN 13: 9783843352017
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Due to highly complex nature of a dynamic supply chain, modeling, analyzing, optimizing & redesigning of supply chain processes using formal and quantitative approaches is a challenging task. Many of the past studies neglected significant impacts of such integration issues and models from past studies were confined in their capability and applicability to analyze dynamic supply chain. The objective of this book is to develop viable modeling methodologies and analyzing algorithms for a dynamic supply chain so that the logic properties of supply chain process models can be analyzed and verified. This problem requires more attention it deserves in integrated supply chain literature till date. This book identifies key research gaps which are crucial in providing an insight that there is a significant opportunity to develop hybrid modeling approaches for supplier related issues. These hybrid approaches enhance the connection of the major building blocks in the supply chain and considering the dynamic nature of supply chain, the proposed hybrid approaches are utilized to study the impact of different supply chain strategies and policies. 344 pp. Englisch. Seller Inventory # 9783843352017
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Hybrid Models for Dynamic Supply Chain Management
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ISBN 10: 3843352011
ISBN 13: 9783843352017
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain VipulVipul Jain, graduated as an electrical engineer, holds M.Tech in Manufacturing Technology & Doctorate in Supply Chain Management. Presently, Assistant Professor in the Mechanical Engineering Department at IIT Delhi. He i. Seller Inventory # 5465213
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Hybrid Models for Dynamic Supply Chain Management
Published by
LAP LAMBERT Academic Publishing Sep 2010, 2010
ISBN 10: 3843352011
ISBN 13: 9783843352017
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -Due to highly complex nature of a dynamic supply chain, modeling, analyzing, optimizing & redesigning of supply chain processes using formal and quantitative approaches is a challenging task. Many of the past studies neglected significant impacts of such integration issues and models from past studies were confined in their capability and applicability to analyze dynamic supply chain. The objective of this book is to develop viable modeling methodologies and analyzing algorithms for a dynamic supply chain so that the logic properties of supply chain process models can be analyzed and verified. This problem requires more attention it deserves in integrated supply chain literature till date. This book identifies key research gaps which are crucial in providing an insight that there is a significant opportunity to develop hybrid modeling approaches for supplier related issues. These hybrid approaches enhance the connection of the major building blocks in the supply chain and considering the dynamic nature of supply chain, the proposed hybrid approaches are utilized to study the impact of different supply chain strategies and policies.Books on Demand GmbH, Überseering 33, 22297 Hamburg 344 pp. Englisch. Seller Inventory # 9783843352017
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Hybrid Models for Dynamic Supply Chain Management : Potentials, Challenges and Research Directions
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843352011
ISBN 13: 9783843352017
New
Taschenbuch
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Due to highly complex nature of a dynamic supply chain, modeling, analyzing, optimizing & redesigning of supply chain processes using formal and quantitative approaches is a challenging task. Many of the past studies neglected significant impacts of such integration issues and models from past studies were confined in their capability and applicability to analyze dynamic supply chain. The objective of this book is to develop viable modeling methodologies and analyzing algorithms for a dynamic supply chain so that the logic properties of supply chain process models can be analyzed and verified. This problem requires more attention it deserves in integrated supply chain literature till date. This book identifies key research gaps which are crucial in providing an insight that there is a significant opportunity to develop hybrid modeling approaches for supplier related issues. These hybrid approaches enhance the connection of the major building blocks in the supply chain and considering the dynamic nature of supply chain, the proposed hybrid approaches are utilized to study the impact of different supply chain strategies and policies. Seller Inventory # 9783843352017
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Hybrid Models for Dynamic Supply Chain Management : Potentials, Challenges and Research Directions
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843352011
ISBN 13: 9783843352017
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 344 | Sprache: Englisch | Produktart: Bücher | Due to highly complex nature of a dynamic supply chain, modeling, analyzing, optimizing & redesigning of supply chain processes using formal and quantitative approaches is a challenging task. Many of the past studies neglected significant impacts of such integration issues and models from past studies were confined in their capability and applicability to analyze dynamic supply chain. The objective of this book is to develop viable modeling methodologies and analyzing algorithms for a dynamic supply chain so that the logic properties of supply chain process models can be analyzed and verified. This problem requires more attention it deserves in integrated supply chain literature till date. This book identifies key research gaps which are crucial in providing an insight that there is a significant opportunity to develop hybrid modeling approaches for supplier related issues. These hybrid approaches enhance the connection of the major building blocks in the supply chain and considering the dynamic nature of supply chain, the proposed hybrid approaches are utilized to study the impact of different supply chain strategies and policies. Seller Inventory # 9461357/1
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Hybrid Models for Dynamic Supply Chain Management: Potentials, Challenges and Research Directions
Published by
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843352011
ISBN 13: 9783843352017
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