The Application of Machine Learning in Improving Inventory Management in U.S. Pharmaceutical Manufacturing
Techniques and Outcomes
Keywords:
Inventory Management, Pharmaceutical ManufacturingAbstract
Inventory management is an essential component of the United States (U.S.) pharmaceutical regulatory compliance and maintenance of Good Manufacturing Practices (GMP) [1]. Entire pharmaceutical manufacturing locations incorporate an inventory management system that keeps pharmaceutical raw materials, packaging materials, and products within locally controlled warehouses. For maintenance of GMP, periodic inventory audits are to be performed. When inventory levels deviate from the set Limit Check values, alerts are triggered for further investigation (data by Exceptional Report). Due to complex nature of pharmaceutical inventory, various key performance indicator (KPI) reports are generated for inventory management investigation. Periodically, Stock Cover, Lot Cover, Shelf Life Gill, and Days on Hand (DOH) reports are dispatched along with any highlighted exceptions list reports for investigation, followed up with trended graphs.
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