Achieving Maintenance Excellence in Manufacturing Through Integration of Lean Six Sigma and Proactive Approaches: A Case Study

Achieving maintenance excellence is essential for enhancing operational efficiency, reducing unplanned downtime, and maintaining the performance of critical manufacturing systems. This study examines the integration of Lean Six Sigma (LSS) with proactive maintenance strategies—Risk-Based Inspection (RBI), Reliability-Centered Maintenance (RCM), and Total Productive Maintenance (TPM)—to improve equipment reliability, extend asset lifespan, and optimize resource utilization. While LSS targets inefficiencies through continuous improvement, RBI, RCM, and TPM offer data-driven, proactive solutions for minimizing downtime and enhancing system performance. Despite their successes, the combined application of these methodologies in asset management remains largely unexplored. This paper introduces a novel framework that integrates LSS, RBI, RCM, and TPM to optimize asset performance by improving reliability, availability, maintainability, and safety (RAMS), while reducing risks and costs. The framework includes well-defined objectives and key performance indicators (KPIs) to facilitate data-driven decisi on making and encourage ongoing improvements. Validated through a case study of a major shutdown maintenance project at a feedwater pumping station in a petrochemical company in Egypt, the framework demonstrated significant outcomes, including a 60 Parsant reduction in non-value-added time, a 43 Parsant decrease in downtime, and a 22 Parsant improvement in shutdown efficiency (from 27 Parsant to 49 Parsant). These results underscore the synergistic potential of integrating LSS, RBI, RCM, and TPM to optimize maintenance practices and enhance operational performance. This study provides valuable insights for both academics and industry professionals seeking to align maintenance strategies with organizational objectives and drive sustainable, long-term improvements.

Authors

Publication Details

Journal
International Journal of Inventive Engineering and Sciences
Published
2025-03-25
DOI
https://doi.org/10.35940/ijies.b1099.12030325
Primary Topic
Quality and Supply Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Achieving Maintenance Excellence in Manufacturing Through Integration of Lean Six Sigma and Proactive Approaches: A Case Study

Attia Hussien Gomaa
International Journal of Inventive Engineering and Sciences
Quality and Supply Management
article

Achieving Maintenance Excellence in Manufacturing Through Integration of Lean Six Sigma and Proactive Approaches: A Case Study

Attia Hussien Gomaa
article en

Abstract

Achieving maintenance excellence is essential for enhancing operational efficiency, reducing unplanned downtime, and maintaining the performance of critical manufacturing systems. This study examines the integration of Lean Six Sigma (LSS) with proactive maintenance strategies—Risk-Based Inspection (RBI), Reliability-Centered Maintenance (RCM), and Total Productive Maintenance (TPM)—to improve equipment reliability, extend asset lifespan, and optimize resource utilization. While LSS targets inefficiencies through continuous improvement, RBI, RCM, and TPM offer data-driven, proactive solutions for minimizing downtime and enhancing system performance. Despite their successes, the combined application of these methodologies in asset management remains largely unexplored. This paper introduces a novel framework that integrates LSS, RBI, RCM, and TPM to optimize asset performance by improving reliability, availability, maintainability, and safety (RAMS), while reducing risks and costs. The framework includes well-defined objectives and key performance indicators (KPIs) to facilitate data-driven decisi on making and encourage ongoing improvements. Validated through a case study of a major shutdown maintenance project at a feedwater pumping station in a petrochemical company in Egypt, the framework demonstrated significant outcomes, including a 60 Parsant reduction in non-value-added time, a 43 Parsant decrease in downtime, and a 22 Parsant improvement in shutdown efficiency (from 27 Parsant to 49 Parsant). These results underscore the synergistic potential of integrating LSS, RBI, RCM, and TPM to optimize maintenance practices and enhance operational performance. This study provides valuable insights for both academics and industry professionals seeking to align maintenance strategies with organizational objectives and drive sustainable, long-term improvements.

International Journal of Inventive Engineering and SciencesVol. 12(3)
Openalex Percentile: Top 92%
Quality and Supply Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Achieving Maintenance Excellence in Manufacturing Through Integration of Lean Six Sigma and Proactive Approaches: A Case Study — Attia Hussien Gomaa · International Journal of Inventive Engineering and Sciences (2025) | TGRS Research Map | TGRS