Academic Journal

A Business Analytics Approach to Lean Six Sigma for Improving Operational Efficiency and Organizational Performance.

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Τίτλος: A Business Analytics Approach to Lean Six Sigma for Improving Operational Efficiency and Organizational Performance.
Συγγραφείς: Sanikop, Shrilaxmi1 shrilaxmisanikop@gmail.com, SABAT, KALI CHARAN1 kalicharan-mba@dayanandasagar.edu
Πηγή: International Scientific Journal of Engineering & Management. Jul2026, Vol. 5 Issue 7, p1-6. 6p.
Θεματικοί όροι: *Business analytics, *Continuous improvement process, *Process optimization, *Statistical decision making, *Organizational performance
Περίληψη: In today's competitive business environment, organizations continuously seek methods to improve operational efficiency, minimize process variation, reduce waste, and enhance customer satisfaction. Lean Six Sigma (LSS) has emerged as a powerful continuous improvement methodology by integrating Lean principles of waste elimination with Six Sigma's statistical approach to quality improvement. The present study aims to evaluate the effectiveness of Lean Six Sigma in solving operational problems and improving organizational performance through data-driven decisionmaking. A quantitative research approach was adopted by collecting responses from 127 employees working in manufacturing and service organizations using a structured questionnaire. Statistical techniques including descriptive analysis, correlation, regression, hypothesis testing, Linear Programming, and Markov Chain analysis were applied to evaluate the relationship between Lean Six Sigma implementation and operational efficiency. The findings reveal that organizations implementing Lean Six Sigma experience significant improvements in process efficiency, quality, customer satisfaction, and competitive advantage. Leadership commitment, employee involvement, and continuous monitoring were identified as critical success factors. The study concludes that integrating Lean Six Sigma with Business Analytics enables organizations to make evidence-based decisions, optimize resources, and achieve sustainable operational excellence. [ABSTRACT FROM AUTHOR]
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Βάση Δεδομένων: Business Source Index
Περιγραφή
ISSN:25836129
DOI:10.55041/ISJEM08385