ABSTRACT

The aim of the study is to explore how best to mitigate against inventory volatility in perishable inventory, which is characterized by random premature expiration, random demand, irregular supply, age differentiated demand and custom replenishment guidelines. Through the adoption of simulation-optimization along with new settings and replenishment policies, the optimized quantity level of daily orders could be determined for this combination of inventory restrictions. Owed to their custom medical compatibility guidelines, and their notable accelerated expiration, blood platelets were considered here. As study outcome, the emergent model presents a perspective of supply chains and their healthcare imperatives that will enable healthcare supply chain managers not only to discern, but also to interpret and facilitate the management and implementation of optimal inventories.

摘要

该研究的目的是探索如何最好地缓解易腐库存中的库存波动，其特点是随机的提前到期，随机的需求，不规则的供应，不同年龄的需求和定制补货指南。通过采用模拟优化以及新的设置和补货策略，可以针对这种库存限制组合确定每日订单的优化数量水平。由于其定制的医学相容性准则以及显着的加速过期，在此考虑了血小板。作为研究结果，这种新兴模型展示了供应链及其医疗保健需求的观点，这将使医疗保健供应链经理不仅能够识别，