Journal ArticleDOI
Integrated reliability and maintainability analysis of Computerized Numerical Control Turning Center considering the effects of human and organizational factors
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TLDR
The reliability and maintainability analysis reveals that the Weibull is the best-fit distribution for time-between-failure data, whereas log-normal is the fastest-fitting distribution for Time-To-Repair data.Abstract:
Purpose
Reliability, maintainability and availability of modern complex engineered systems are significantly affected by four basic systems or elements: hardware, software, organizational and human. Computerized Numerical Control Turning Center (CNCTC) is one of the complex machine tools used in manufacturing industries. Several research studies have shown that the reliability and maintainability is greatly influenced by human and organizational factors (HOFs). The purpose of this paper is to identify critical HOFs and their effects on the reliability and maintainability of the CNCTC.
Design/methodology/approach
In this paper, 12 human performance influencing factors (PIFs) and 10 organizational factors (OFs) which affect the reliability and maintainability of the CNCTC are identified and prioritized according to their criticality. The opinions of experts in the fields are used for prioritizing, whereas the field failure and repair data are used for reliability and maintainability modeling.
Findings
Experience, training, and behavior are the three most critical human PIFs, and safety culture, problem solving resources, corrective action program and training program are the four most critical OFs which significantly affect the reliability and maintainability of the CNCTC. The reliability and maintainability analysis reveals that the Weibull is the best-fit distribution for time-between-failure data, whereas log-normal is the best-fit distribution for Time-To-Repair data. The failure rate of the CNCTC is nearly constant. Nearly 66 percent of the total failures and repairs are typically due to the hardware system. The percentage of failures and repairs influenced by HOFs is nearly only 16 percent; however, the failure and repair impact of HOFs is significant. The HOFs can increase the mean-time-to-repair and mean-time-between-failure of the CNCTC by nearly 65 and 33 percent, respectively.
Originality/value
The paper uses the field failure data and expert opinions for the analysis. The critical sub-systems of the CNCTC are identified using the judgment of the experts, and the trend of the results is verified with published results.read more
Citations
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Reliability, Availability, and Maintainability (RAM) Study of an Ice Cream Industry
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Markov chain optimization of repair and replacement decisions of medical equipment
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The Role of Maintenance Operator in Industrial Manufacturing Systems: Research Topics and Trends
Alessia Maria Rosaria Tortora,Valentina Di Pasquale,Chiara Franciosi,Salvatore Miranda,Raffaele Iannone +4 more
TL;DR: The current state-of-the-art role of maintenance operators in manufacturing systems is addressed, providing an overview of the main studies and interesting research insights on the human role in industrial maintenance.
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A generalized model selection framework for multi-state failure data analysis
TL;DR: In this article, the reliability analysis of computerized numerical control machine tools (CNCMTs) using a multi-state system (MSS) approach that considers various degraded states rather than a binary approach is carried out.
Proceedings ArticleDOI
Forecasting Repair and Maintenance Services of Medical Devices Using Support Vector Machine
TL;DR: This study uses machine learning tools to analyze several parameters crucial for achieving a robust repair service system, including the number of repairs, the time of the next repair ticket or product failure, and the time to repair.
References
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Reliability engineering: Old problems and new challenges
TL;DR: The first recorded usage of the word reliability dates back to the 1800s, albeit referred to a person and not a technical system as discussed by the authors, and since then, the concept of reliability has become a pervasive attribute worth of both qualitative and quantitative connotations.
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An analysis of factors affecting software reliability
Xuemei Zhang,Hoang Pham +1 more
TL;DR: The findings of empirical research from 13 companies participating in software development are presented to identify the factors that may impact software reliability and provide a general guide to the important aspects to consider in the whole software development process.
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A risk perspective suitable for resilience engineering
Riana Steen,Terje Aven +1 more
TL;DR: In this paper, the authors focus on the understanding of the risk concept and how risk can be assessed and treated in resilience engineering, and argue that the basic ideas of resilience engineering can be supported by such risk perspectives.
Journal ArticleDOI
Satellite and satellite subsystems reliability: Statistical data analysis and modeling
TL;DR: A comparative analysis of subsystems failure is conducted, identifying the “culprit subsystems†that drive satellite unreliability.