Enhancing Stock Management Efficiency at Excillum AB

Abstract: This thesis work aims to improve the stock management system of Excillum AB, a Stockholm-based company that specializes in high-performance X-ray sources. The current stock management system has limitations, resulting in gaps when managing the inventory. To address this, the study focuses on developing a calculation model that takes into account various factors such as the global supply chain, customer expectations, service offerings, and financial concerns. The research questions revolve around understanding best practices in stock management from other companies, considerations for stock selection and ordering decisions, and additional parameters to ensure accurate safety stock calculations. The research involves carrying out a literature review, benchmarking practices from other organizations, analyzing Excillum's transaction data, and developing a reliable calculation model. However, some limitations exist, such as relying on Excel for calculations rather than changing values within the ERP system, which reduces demand projection accuracy due to high product customization. Human factors and unavoidable supply chain disruptions are not specifically addressed in the recommended approach. The proposed calculation model aims to improve stock management efficiency, ensure product availability, reduce stockouts, and ultimately contribute to Excillum's growth goals while meeting customer demands. Excillum can optimize stock levels and streamline inventory management by incorporating best practices and taking into account critical factors, establishing the way for long-term success and improved customer satisfaction.