Abstract
Warehouse facilities in a supply chain provide the necessary product storage before consumption. When the shipments are received in a warehouse, the first decision encountered by a logistic manager is where to store the product. The product can be sent to long-term reserve storage, short-term primary storage or it can be directly cross-docked. This decision calls for an expert judgment and knowledge of certain decision rules. However, it would be impossible for a human being to comprehend these rules and process the information to take real-time decisions. The present chapter demonstrates how the fuzzy linguistic modeling concept and fuzzy set theory can be effectively used to capture, present, organize and synthesize the expert knowledge in terms of fuzzy decision rules to provide a powerful tool to the decision maker. The approach has been illustrated with the help of an example and computation experience provided.
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Gill, A. (2014). A Fuzzy Set Theoretic Approach to Warehouse Storage Decisions in Supply Chains. In: Kahraman, C., Öztayşi, B. (eds) Supply Chain Management Under Fuzziness. Studies in Fuzziness and Soft Computing, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53939-8_20
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