A profit jump inventory model for imperfect quality items with receiving reparative batch and order overlapping in dense fuzzy environment

This paper presents an economic order quantity (EOQ) inventory model for imperfect quality items with receiving a reparative batch and overlapping in dense fuzzy environment Here, the are identified by screening divided into either scrap or reworkable items. The kept store until next received. Afterwards, returned to supplier be reworked. Also, discount on purchasing cost is employed as offer of cooperation from buyer compensate all additional holding costs incurred buyer. rework process error free. An scheme so that vendor allowed use previous shipment meet demand inspection period. However, we assume total monthly number because learning effect. Moreover, first profit maximization deterministic developed solve classical method. Fuzzifying final optimized function via have extended ranking index rule its defuzzification. During defuzzification make extensive study paradoxical unit square left right deviations numbers. A comparative made after splitting general environment. Finally numerical graphical illustrations sensitivity analysis been global justifications.