Optimal lot sizing, process quality improvement and setup cost reduction
Operations Research
Fuzzy set theoretic interpretation of economic order quantity
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Multi-item fuzzy EOQ models using genetic algorithm
Computers and Industrial Engineering
An optimal production run time with imperfect production processes and allowable shortages
Computers and Operations Research
The Outcome of Flexible Lead Times on the Distributors
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 3 - Volume 03
An analytical solution to a fuzzy economic order quantity problem
International Journal of Approximate Reasoning
Fuzzy economic order time models with random demand
International Journal of Approximate Reasoning
Mathematical and Computer Modelling: An International Journal
Computers and Industrial Engineering
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This paper considers inventory models for items with imperfect quality and shortage backordering in fuzzy environments by employing two types of fuzzy numbers, which are trapezoidal and triangular. Two fuzzy models are developed. In the first model the input parameters are fuzzified, while the decision variables are treated as crisp variables. In the second model, not only the input parameters but also the decision variables are fuzzified. For each fuzzy model, a method of defuzzification, namely the graded mean integration method, is employed to find the estimate of the profit function in the fuzzy sense, and then the optimal policy for the each model is determined. The optimal policy for the second model is determined by using the Kuhn-Tucker conditions after the defuzzification of the profit function. Numerical examples are provided in order to ascertain the sensitiveness in the decision variables with respect to fuzziness in the components.