Abstract
In practice, the quantity received may not match with the quantity ordered, due to various reasons such as rejection during inspection, damage or breakage during transportation, human errors in counting etc. Subsequently, the managers often must make decisions under uncertain quantity received circumstances. This paper explores the feasibility of reducing ordering cost and lost sales caused by stock-out. In this study, we examine the continuous review inventory model with shortages include the case where the quantity received is uncertain in which the lead time and lost sales rate are decision variables and also with service level constraint. Here we consider the lead time crashing cost is a function of negative exponential lead time. The objective of this study is to minimize the joint expected total cost by simultaneously optimizing the order quantity and lost sales rate. An efficient algorithm for finding the optimal solution is developed and numerical examples are given to illustrate the results.
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