Abstract
Purpose
The purpose of this paper is to implement the six sigma (SS) strategy in a bag sector under actual operating circumstances based on defining-measure-analyze-improve and control (DMAIC). During the project, several statistical tools and methods have been used efficiently to create inferences. Thus, to measure and enhance system efficiency, the author calculate reliability, availability and maintainability (RAM) indices. Based on this research, the author show how the SS method and RAM analysis are very helpful in determining maintenance intervals, as well as in planning and organizing the appropriate maintenance strategy.
Design/methodology/approach
This study introduces the step-by-step application of the DMAIC methodology for the identification and reduction of bag production line downtime and examines the present operations management. Thus, statistical techniques are used to analyze the failure and repair database. Pareto analysis, histograms and descriptive statistics at the machine and line-level of the historical data were conducted. Trend and serial correlation testing validated the hypothesis of independence and identical distribution of database was performed. In addition, with their best fit allocation, the RAM of both the bag production line and its machines was estimated at separate mission times.
Findings
The main goals of the applied method are to understand the nature of the downtime patterns and to accurately and quantitatively estimate the RAM characteristics of the bag production system. The assessment defines the production line's critical points, requiring further enhancement through an efficient maintenance approach. Therefore, by improving plant efficiency and safety, the author can decrease unplanned downtime and equipment failures.
Originality/value
This research is expected to serve as an attempt to conduct SS DMAIC methodology through RAM assessment and its impact on system efficiency under actual circumstances. The benefit of the methodology is that the manufacturing process is continuously monitored by suitable indicators, the use of which leads to a continuous improvement cycle.
Reference71 articles.
1. RAM investigation of coal-fired thermal power plant: a case study;International Journal of Industrial Engineering Computations,2012
2. Reliability analysis comparison on punching toolsets due to different maintenance decisions: a case study from the pulp manufacturing industry;The International Journal of Advanced Manufacturing Technology,2018
3. Lean six sigma effect on Jordanian pharmaceutical industry’s performance;International Journal of Lean Six Sigma,2019
4. Integrating Six-Sigma with other reliability improvement methods in equipment reliability and maintenance applications;Journal of Quality in Maintenance Engineering,2008
5. Enhancing a company’s profitability and competitiveness using integrated vibration-based maintenance: a case study;European Journal of Operational Research,2004
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