Improving Operational Efficiency: A Case Study of Inventory Management Optimization Using Oracle Fusion Supply Chain Management at BVS Electronics Pvt. Ltd.
Abstract
This research paper investigates the implementation of Oracle Fusion Supply Chain Management (SCM) at BVS Electronics Pct. Ltd. will enhance inventory control procedures. Through a comprehensive case study approach, we explore the strategies employed by the company to enhance operational efficiency and streamline inventory control processes. The study delves into the challenges faced by BVS Electronics in inventory management prior to adopting Oracle Fusion SCM and evaluates the effectiveness of the new system in addressing these challenges. Utilizing qualitative and quantitative data analysis methods, we assess the impact of Oracle Fusion SCM on inventory turnover, stock accuracy, and overall supply chain performance. Our findings highlight significant improvements in inventory management practices following the implementation of Oracle Fusion SCM, including reduced carrying costs, minimized stockouts, and enhanced forecasting accuracy. Moreover, we discuss the implications of these findings for practitioners and offer recommendations for organizations considering similar SCM solutions. Overall, this research contributes to the body of knowledge on inventory management optimization through the adoption of advanced SCM technologies, supplying insights into best practices for achieving operational excellence in supply chain operations. The study also looks at how Oracle Fusion SCM, which offers real-time data and analytics to support improved demand planning and inventory optimization, might help decision-making processes. The article also covers the difficulties that BVS Electronics faced throughout the implementation phase, such as problems with system integration and staff training, and how they were resolved. Key performance indicators (KPIs) are thoroughly analyzed in the study both before and after Oracle Fusion SCM was implemented, demonstrating quantifiable gains in operational metrics.
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