Abstract
Manufacturing industries are under increasing pressure to enhance productivity, quality, reliability, and supply chain responsiveness while adapting to the principles of Industry 5.0. Although improvement methodologies such as Lean Six Sigma (LSS), Supply Chain Management (SCM), Reliability Engineering, and Quality Management Systems (QMS) are widely adopted, they are often implemented independently, resulting in fragmented improvements. This study addresses this gap by proposing an integrated framework that combines these approaches to improve manufacturing productivity and operational excellence.
The framework is conceptually validated through an extensive literature review, expert consultation, questionnaire survey data, statistical analyses, and an illustrative manufacturing case study. Critical Success Factors (CSFs) identified include supplier reliability, digital transformation, employee competency, leadership effectiveness, equipment reliability, quality system maturity, safety performance, process capability, and supply chain integration.
Survey data collected from manufacturing professionals are analyzed using Cronbach’s Alpha, Correlation Analysis, and Multiple Regression Analysis to evaluate the influence of these factors on manufacturing productivity. The Analytic Hierarchy Process (AHP) is employed to prioritize the identified CSFs according to their relative importance. The framework integrates Lean Six Sigma tools, including DMAIC, Failure Mode and Effects Analysis (FMEA), Statistical Process Control (SPC), and Value Stream Mapping (VSM), with reliability metrics such as Mean Time Between Failures (MTBF) and Mean Time to Repair (MTTR). This integrated approach supports continuous improvement by reducing defects, improving equipment reliability, strengthening supply chain resilience, and optimizing resource utilization. The proposed framework establishes quantitative relationships between operational, quality, reliability, and supply chain variables and manufacturing productivity, providing a practical roadmap for achieving sustainable operational excellence in the industry 5.0 era while contributing valuable insights to both academic research and industrial practice.
KEYWORDS
Lean Six Sigma, Industry 5.0, Supply Chain Management, Reliability Engineering, Sustainable Manufacturing, Productivity Optimization.
Sriram Navaluri
Researcher Scholar, University of Technology, Jaipur-303903, Raj., India