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Risk-Pooling Essentials electronic resource Reducing Demand and Lead Time Uncertainty / by Gerald Oeser.

By: Oeser, Gerald [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextSeries: SpringerBriefs in BusinessPublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Description: IX, 91 p. 10 illus., 5 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319141572Subject(s): business | Production management | Operations research | Decision making | Information technology | Business -- Data processing | Statistics | Business and Management | Operations Management | IT in Business | Operation Research/Decision Theory | Statistics for Business/Economics/Mathematical Finance/InsuranceDDC classification: 658.5 LOC classification: TS155-TS194Online resources: Click here to access online
Contents:
Introduction -- Risk-Pooling in Business Logistics -- Choosing Suitable Risk-Pooling Methods -- Applying Risk-Pooling in Paper Wholesale -- The State of Risk-Pooling in Germany -- Conclusion.
In: Springer eBooksSummary: This book provides comprehensive and concise definitions of risk pooling and risk-pooling methods, a straightforward statistical explanation, and a value-chain oriented framework for analyzing risk-pooling methods. Risk pooling mitigates demand and lead time uncertainty in logistics and supply chain management. The author also provides readers with a downloadable computerized decision support tool to compare and choose appropriate risk-pooling methods and to apply them in companies. Students and practitioners of logistics and supply chain management will find this book particularly useful.
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Introduction -- Risk-Pooling in Business Logistics -- Choosing Suitable Risk-Pooling Methods -- Applying Risk-Pooling in Paper Wholesale -- The State of Risk-Pooling in Germany -- Conclusion.

This book provides comprehensive and concise definitions of risk pooling and risk-pooling methods, a straightforward statistical explanation, and a value-chain oriented framework for analyzing risk-pooling methods. Risk pooling mitigates demand and lead time uncertainty in logistics and supply chain management. The author also provides readers with a downloadable computerized decision support tool to compare and choose appropriate risk-pooling methods and to apply them in companies. Students and practitioners of logistics and supply chain management will find this book particularly useful.

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