Supply Chain Contract Management / Edition KWV (PDF)
A Performance Analysis of Efficient Supply Chain Contracts
(Sprache: Englisch)
In recent years, the design of contracts in supply chains has received significant attention from researchers and practitioners. Companies try to improve their profits by designing efficient contracts that ensure a high availability of the product at a low...
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In recent years, the design of contracts in supply chains has received significant attention from researchers and practitioners. Companies try to improve their profits by designing efficient contracts that ensure a high availability of the product at a low cost. In this book the author presents a quantitative approach for designing optimal supply chain contracts. Firstly, service level contracts, which are frequently used between a supplier and a manufacturer, are analyzed. For this contract type, optimal contract parameter combinations are identified that lead to a coordinated supply chain. Secondly, an optimal contract selection strategy is developed for a supply chain where a manufacturer can choose among multiple potential buyers.
Potential readership includes scholars of supply chain management and management science, graduate students interested in these areas as well as interested practitioners involved in negotiating contracts.
Autoren-Porträt von Marcel Sieke
Dr. Marcel Sieke is a strategy consultant at The Boston Consulting Group and a topic expert for Supply Chain Management. He holds a Bachelor's and Master's degree in Management Information Systems from the University of Münster and a doctoral degree in Supply Chain Management and Management Science from the University of Cologne.
Bibliographische Angaben
- Autor: Marcel Sieke
- 2019, 1st ed. 2008, 158 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3658243821
- ISBN-13: 9783658243821
- Erscheinungsdatum: 20.03.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 1.74 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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