Analysis of an order-up-to-level policy for perishables with random issuing

摘要: Much of the research in perishable items inventory management has focused on first-in-first-out issue process. However, motivated by technical characteristics blood unit process, we model an order-up-to-level policy under periodic review setting with random from inventory. We provide empirical evidence support issuing assumption using real data serial numbers units issued a bank. For general demand distribution derive exact expressions for per period expected shortage, wastage and cost as functions parameters R (order-up-to-level) T (review period). Since becomes computationally burdensome increase number periods life item approximate process is developed. The accuracy approximation affirmed simulation analysis. A gradient search-based heuristic provided to identify optimum model. application demonstrated determining frequency collection at