Enhancing Inventory Performance in Manufacturing Supply Chains Through Lean Six Sigma: A Case Study

Authors

  • Attia Gomaa Mechanical Engineering Department, Faculty of Engineering. Shubra, Benha University, Cairo, Egypt Author

DOI:

https://doi.org/10.55578/jdso.2605.006

Keywords:

Lean Six Sigma, DMAIC, Inventory Optimization, Manufacturing Systems, Inventory Control, Supply Chain Performance, Operational Efficiency, Process Improvement

Abstract

Effective inventory management is a critical determinant of operational efficiency, cost control, and service performance in increasingly volatile manufacturing environments. While Lean Six Sigma (LSS) is widely established as a methodology for waste reduction and process variability minimization, its structured application to inventory strategy and performance optimization remains comparatively underdeveloped in the literature. Existing inventory management practices are frequently constrained by fragmented decision-making, weak process integration, and limited responsiveness to demand uncertainty, leading to persistent inefficiencies such as excess stock, stockouts, and elevated holding costs. This study develops and empirically implements a Lean Six Sigma–based, DMAIC-driven framework for inventory optimization, integrating core tools including value stream mapping, root cause analysis, 5S, process mapping, and performance measurement systems. The framework operationalizes inventory management as a structured, data-driven process aligned with key performance indicators, enabling systematic identification of inefficiencies and targeted improvement interventions. The framework is applied in a medium-sized Egyptian electrical control panel manufacturer characterized by significant inventory inefficiencies, including high carrying costs, prolonged lead times, excess inventory, and recurring stockouts. The DMAIC implementation yields statistically and operationally meaningful improvements across multiple performance dimensions: inventory turnover increases by 20%, on-time order fulfillment improves by 15%, carrying costs decrease by 22%, lead times are reduced by 25%, stockout rates decline by 30%, and inventory accuracy improves by 15%. Overall, the findings demonstrate that Lean Six Sigma can effectively reconfigure inventory management from a reactive, fragmented system into a structured, performance-driven, and continuously improving operational capability. The proposed framework contributes both theoretically and practically by providing an empirically grounded, context-sensitive approach to inventory optimization in resource-constrained manufacturing environments.

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2026-05-22

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How to Cite

Enhancing Inventory Performance in Manufacturing Supply Chains Through Lean Six Sigma: A Case Study. (2026). Journal of Decision Science and Optimization, 2(2), 77-96. https://doi.org/10.55578/jdso.2605.006