Case Study and Economic Analysis of Inventory Management in a Mid-Scale Manufacturing Firm: A Quantitative and Qualitative Approach

Abstract

This research paper presents a comprehensive case study examining inventory management practices in mid-scale manufacturing firms through both quantitative and qualitative analytical approaches. The study investigates the economic implications of inventory control systems, focusing on cost optimization, operational efficiency, and strategic decision-making processes. Through primary data collection from a selected manufacturing firm and secondary data analysis from industry reports, this research evaluates the effectiveness of current inventory management practices and their impact on overall business performance (1). The findings reveal significant correlations between inventory turnover ratios, carrying costs, and profitability margins in mid-scale manufacturing operations. The study employs ABC analysis, Economic Order Quantity (EOQ) models, and Just-in-Time (JIT) principles to assess inventory optimization strategies (2). Results indicate that implementing advanced inventory management systems can reduce carrying costs by 15-25% while improving customer service levels by 12-18% in mid-scale manufacturing environments (3). The research contributes to existing literature by providing empirical evidence of inventory management challenges specific to mid-scale manufacturers and offers practical recommendations for operational improvements.