Abstract
Most of the applications of fuzzy sets to inventory control have been in the area of the EOQ, or the economic order quantity problem. See ([4]-[12],[14]-[16]), and the references in these papers, for a survey of this literature. What was usually done by these authors is to fuzzify some of the, difficult to estimate, parameters in the model. We are going to do something different in this Chapter in modeling demand with a fuzzy normal probability density. Our previous research in this area includes using fuzzy sets to model uncertainty in a single item, N-period, inventory control problem ([2],[3]). In that research we had demand (not a fuzzy normal) crisp or fuzzy, ordering cost and holding cost fuzzy, with or without shortages and backorders.
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© 2003 Physica-Verlag Heidelberg
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Buckley, J.J. (2003). Fuzzy Inventory Control. In: Fuzzy Probabilities. Studies in Fuzziness and Soft Computing, vol 115. Physica-Verlag HD. https://doi.org/10.1007/978-3-642-86786-6_9
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DOI: https://doi.org/10.1007/978-3-642-86786-6_9
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