Introduction

Gerald Oeser ()
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Gerald Oeser: European University of Applied Sciences

Chapter Chapter 1 in Risk-Pooling Essentials, 2015, pp 1-3 from Springer

Abstract: Abstract Demand and lead-time uncertainty increase in logistics and supply chain management, but can be mitigated by risk pooling. The extensive, but fragmented, inconsistent, and mainly theoretical risk-pooling literature offers little help in choosing between and implementing risk-pooling methods. Therefore, this book provides (1) comprehensive and concise definitions of risk-pooling and ten identified risk-pooling methods, (2) a straightforward statistical explanation of risk pooling, (3) a value-chain oriented framework for analyzing risk-pooling methods, (4) a downloadable computerized decision support tool to compare and choose appropriate risk-pooling methods for different economic conditions based on a contingency approach, (5) its application to a real-world example, and (6) the status of risk pooling in German manufacturing and trading companies.

Keywords: Risk management; Supply chain management; Logistics; Demand uncertainty; Lead-time uncertainty; Uncertainty reduction; Applied research (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:spbrcp:978-3-319-14157-2_1

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DOI: 10.1007/978-3-319-14157-2_1

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