METHODOLOGICAL APPROACH TO OPTIMIZING THE MANAGEMENT STRATEGY OF THE ASSORTMENT POLICY OF A PHARMACEUTICAL COMPANY BASED ON INVENTORY CONTROL

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Abstract Aim is a methodological solution for optimizing the assortment policy management strategy of a pharmaceutical company based on inventory control. Research materials and methods. The study was conducted using the example of the pharmaceutical company Bayer and is based on the principles of positivistic philosophy and a deductive approach. The research materials include primary data from an interview with a pharmaceutical logistics manager and secondary data from prescriptions. The collected data were analyzed by calculating a number of values ​​(economic order volume, reorder point, safety stock, average assortment level) using ABC analysis and cycle counting methods. According to the collected initial information, the assortment portfolio of the analyzed company includes 400 pharmaceutical products. The proposed methodological approach is based on a consistent assessment of the assortment management system in effect in the pharmaceutical company. A qualitative assessment of the assortment status is given for individual items: was it insufficient, excessive, acceptable, or discontinued. Finally, an assortment management strategy was recommended aimed at increasing the efficiency of the assortment policy while minimizing overall costs. The accuracy of the product range accounting process is improved by using the cyclic counting method and ABC classification for each product. Results. The article presents the author's methodological approach to optimizing the product range portfolio of a pharmaceutical company. The proposed approach is based on data on inventory control under conditions of uncertain demand for pharmaceutical products using a continuous analysis policy. A quantitative and qualitative assessment of the product range status for individual drug names was conducted and an adapted product range management strategy was recommended, aimed at improving the efficiency of the product range policy while minimizing overall costs. Conclusion. The accuracy of the product range dynamics accounting process is improved by using the cyclic counting method and ABC analysis of products.