Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line

Tsarouhas, Panagiotis

doi:10.1108/jqme-04-2018-0029

Cited by 22 publications

(22 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The CTQ factor was the approach used to analyze and evaluate waste. Referring to the research conducted by Tsarouhas [36] and Kothavale, et al [37], the statistical method was used to conduct the analysis. Fig.…”

Section: Results Of Measurementioning

confidence: 99%

Reduce Waste using Integration of Lean Six Sigma and TRIZ Method: A Case Study in Wood Industry

Purnomo

Lukman

2020

JTI

View full text Add to dashboard Cite

Recently, lean production has become a major focus of researchers and industry. The zero waste concept holds an important role in the production process. The aim of this concept is to reduce waste and to increase productivity. Wastes have significant negative impacts to the company, one of which is the decrease of company profit. This research aimed to integrate the Lean Six Sigma method with Teorya Resheniya Izobreatatelskikh Zadatch (TRIZ) in order to reduce wastes. These two methods were applied with Define-Measure-Analyze-Improve-Control(DMAIC) methodology. A case study was conducted in a wood manufacturing company. The results of the study suggest that the application of the two methods can significantly reduce the Non-value Added (NVA).

show abstract

Section: Results Of Measurementioning

confidence: 99%

Reduce Waste using Integration of Lean Six Sigma and TRIZ Method: A Case Study in Wood Industry

Purnomo

Lukman

2020

JTI

View full text Add to dashboard Cite

show abstract

“…It can be calculated as the arithmetic average time between machine failures. While, the MTTR is the meantime needed to fix a faulty part or system (Tsarouhas, 2019). Effective reliability and maintenance programs involve adequate data collection and assessment, as well as building reliability models to help in decision-making processes (Garmabaki et al , 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability, availability and maintainability analysis of a bag production industry based on the six sigma DMAIC approach

Tsarouhas

2020

IJLSS

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…With the help of initial conditions and by taking t → ∞ , in Eqs. (9) and (10) By substituting values of P 1 derived from Eqs. (11) and (12) in Eq.…”

Section: Ramd Indices For Subsystem Smentioning

confidence: 99%

“…And, calculate reliability, availability and maintainability of the system. Tsarouhas [9][10][11][12][13][14] analyzed statistically analyzed reliability, availability and maintainability of many industrial systems like wine packaging system, cheese production plant. The distribution of best-fit has been identified for failure and repairs and maintenance policies are proposed for enhance the efficiency of the plants.…”

Section: Introductionmentioning

confidence: 99%

Reliability, maintainability and sensitivity analysis of physical processing unit of sewage treatment plant

et al. 2019

View full text Add to dashboard Cite

India is facing radical change in perspective of inadequate water resources which can reduce by using treated water. In this direction, sewage treatment plants play a key role. Sewage treatment plant comprises three units namely physical processing, chemical processing and biological process. The physical process is the most important part and it has five component arranged in series configuration. It becomes necessary to perform this process with high efficiency and reliability, availability, maintainability, and dependability (RAMD) is the methodology to analyze the performance. The failure and repair rates of the subsystems has been considered exponentially distributed. Chapman-Kolmogorov differential equations are derived using Markovian birth-death process and several measures like mean time between failures, mean time to repair and dependability ratio are derived. The sensitivity analysis of reliability of the plant has also been performed. RAMD investigation shows that: availability of system is 0.952177, reliability of the system after 20 days is 0.2018 and after 60 days 0.00823, maintainability of the plant is 0.999948, dependability ratio is 0.9541 and raw sewage sump is the most sensitive subsystem of the plant with reliability 0.382893. This work is projected to support as an informative exertion in steering a RAMD analysis of physical processing unit and vary few work is available in literature related to the performance features of physical processing units of the sewage treatment plants. The main findings may be very useful for sewage treatment plants designers.

show abstract

Statistical analysis of failure data for estimating reliability, availability and maintainability of an automated croissant production line

Cited by 22 publications

References 43 publications

Reduce Waste using Integration of Lean Six Sigma and TRIZ Method: A Case Study in Wood Industry

Reduce Waste using Integration of Lean Six Sigma and TRIZ Method: A Case Study in Wood Industry

Reliability, availability and maintainability analysis of a bag production industry based on the six sigma DMAIC approach

Reliability, maintainability and sensitivity analysis of physical processing unit of sewage treatment plant

Contact Info

Product

Resources

About