Kacprzyk, J.: Multistage Decision-Making under Fuzziness. Guiffrida, A.L., Nagi, R.: Fuzzy Set Theory Applications in Production Management Research: A Literature Survey. Computers in Industrial Engineering 33, 553–556 (1997) Gen, M., Tsujiomura, Y., Zheng, D.: An Application of Fuzzy Set Theory to Inventory Control Problems. Soft Computing 7, 121–129 (2002)Ĭhang, S.-C.: Fuzzy Production Inventory for Fuzzy Product Quantity with Triangular Fuzzy Numbers. Physica-Verlag, Heidelberg (2003)īuckley, J.J., Feuring, T., Hayashi, Y.: Solving Fuzzy Problems in Operations Research: Fuzzy Inventory Control. Physica-Verlag, Heidelberg (2002)īuckley, J.J.: Fuzzy probabilities: New Approach and Applications. This process is experimental and the keywords may be updated as the learning algorithm improves.īuckley, J.J., Eslami, E., Feuring, T.: Fuzzy Mathematics in Economics and Engineering. These keywords were added by machine and not by the authors. This chapter, and Chapters 21 and 22, are based on (Section 6.3 of, Chapter 9 of and ).
Finally, we add to the model in Chapter 22 backorders, maximize profit instead of minimizing cost since we now sell the product, and discount all future monies to their present value. In Chapter 21 demand will be fuzzy, shortages are allowed and the penalty cost for shortages is also fuzzy. We will assume that demand is known (not fuzzy) but the ordering cost and holding cost can be fuzzy. This problem will be outlined below in Section 20.2. In this chapter we will apply fuzzy sets to model uncertainty in the single item, N-period, inventory control problem. See (-, -), and the references in these papers, for a survey of this literature on fuzzy inventory control. Most of the applications of fuzzy sets to inventory control have been in the area of the EOQ, or the economic order quantity problem. We start with crisp known demand in this chapter followed by fuzzy demand in the next two chapters ending with allowing backorders in Chapter 22. This is the first of three chapters on fuzzy inventory control.
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