Methods of Risk Pooling in Business Logistics and Their Application

Purpose/topicality: Demand and lead time uncertainty in business logistics increase, but can be mitigated by risk pooling. Risk pooling can reduce costs for a given service level, which is especially valuable in the current economic downturn. The extensive, but fragmented and inconsistent risk pooling literature has grown particularly in the last years. It mostly deals with specific mathematical models and does not compare the various risk pooling methods in terms of their suitability for specific conditions.Approach: Therefore this treatise provides an integrated review of research on risk pooling, notably on inventory pooling and the square root law, according to a value-chain structure. It identifies ten major risk pooling methods and develops tools to compare and choose between them for different economic conditions following a contingency approach. These tools are applied to a German paper merchant wholesaler, which suffers from customer demand and supplier lead time uncertainty. Finally, a survey explores the knowledge and usage of the various risk pooling concepts and their associations in 102 German manufacturing and trading companies. Triangulation (combining literature, example, modeling, and survey research) enhances our investigation.Originality/value: For the first time this research presents (1) a comprehensive and concise definition of risk pooling distinguishing between variability, uncertainty, and risk, (2) a classification, characterization, and juxtaposition of risk pooling methods in business logistics on the basis of value activities and their uncertainty reduction abilities, (3) a decision support tool to choose between risk pooling methods based on a contingency approach, (4) an application of risk pooling methods at a German paper wholesaler, and (5) a survey on the knowledge and utilization of risk pooling concepts and their associations in 102 German manufacturing and trading companies.