Reliability analysis of CNC turning center based on the assessment of trends in maintenance data

Patil, Rajkumar Bhimgonda; Kothavale, B. S.; Waghmode, Laxman Yadu; Joshi, S. G.

doi:10.1108/ijqrm-08-2016-0126

Cited by 31 publications

(21 citation statements)

References 28 publications

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“…Solving the system of equations in (22) for the state probabilities p k ∞ ðÞ , k ¼ 0, 1, 2, … , 12, using MATLAB package, to give states probabilities in Table 3 below.…”

Section: Models Formulation For Configurationmentioning

confidence: 99%

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The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

Yusuf¹,

Musa²

2021

Practical Applications in Reliability Engineering

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The purpose of this research is to propose three reliability models (configurations) with standby units and to study the optimum configuration between configurations analytically and numerically. The chapter considered the need for 60 MW generators in three different configurations. Configuration 1 has four 15 MW primary units, two 15 MW cold standby units and one 30 MW cold standby unit; Configuration 2 has three 20 MW primary units, three 20 cold standby units; Configuration 3 has two 30 MW primary units and three 30 MW cold standby units. Some reliability features of series–parallel systems under minor and complete failure were studied and contrasted by the current. Failure and repair time of all units is assumed to be exponentially distributed. Explanatory expressions for system characteristics such as system availability, mean time to failure (MTTF), profit function and cost benefits for all configurations have been obtained and validated by performing numerical experiments. Analysis of the effect of different system parameters on the function of profit and availability has been carried out. Analytical comparisons presented in terms of availability, mean time to failure, profit function and cost benefits have shown that configuration 3 is the optimal configuration. This is supported by numerical examples in contrast to some studies where the optimal configuration of the system is not uniform as it depends on some system parameters. Graphs and sensitivity analysis presented reveal the analytical results and accomplish that Configuration 3 is the optimal in terms of design, reliability physiognomies such as availability of the system, mean time to failure, profit and cost benefit. The study is beneficial to engineers, system designers, reliability personnel, maintenance managers, etc.

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“…Solving the system of equations in (22) for the state probabilities p k ∞ ðÞ , k ¼ 0, 1, 2, … , 12, using MATLAB package, to give states probabilities in Table 3 below.…”

Section: Models Formulation For Configurationmentioning

confidence: 99%

“…Negi and Singh [21] analyzed the reliability of non-repairable complex system with weighted subsystems connected in series. Patil et al [22] presented the reliability analysis of CNC turning center based on the assessment of trends in maintenance data. Tsarouhas [23] dealt with RAM analysis for wine packaging production line.…”

Section: Introductionmentioning

confidence: 99%

The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

Yusuf¹,

Musa²

2021

Practical Applications in Reliability Engineering

View full text Add to dashboard Cite

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“…Addabo et al (2016) modeled the availability and reliability of multicore controlled UPS. While Patil et al (2017) analyzed reliability of a CNC turning center, Navas et al (2017) estimated reliability of railway repairable systems.…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability, availability and maintainability analysis of a cement plant: a case study

Choudhary¹,

Tripathi²,

Shankar

2019

IJQRM

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Purpose The demand of cement in India is expected to increase rapidly as the government has been giving immense boost to various housing facilities, infrastructure projects, road networks and railway corridors. One of the ways to meet this rise in the demand of cement is to increase the capacity utilization of the existing cement plants by improving their availability. The availability of a cement plant can be improved by avoiding failures and reducing maintenance time through reliability, availability and maintainability (RAM) analysis of its subsystems. The paper aims to discuss this issue. Design/methodology/approach The data related to time between failure (TBF) and time to repair (TTR) of all the critical subsystems of a cement plant were collected over a period of two years for carrying out RAM analysis. Trend test and serial correlation test were performed on TBF and TTR data to verify whether these data are independent and identically distributed or not. Afterwards, the authors use EasyFit 5.6 professional software to find best-fit distribution of TBF and TTR data and their parameters. The effectiveness of a preventive maintenance policy was evaluated by simulating the real and proposed systems. Findings The results of the analysis show that the raw mill and the coal mill are critical subsystems of a cement plant from a reliability point of view, whereas the kiln is a critical subsystem from an availability point of view. The analysis shows that the repair time of the cement mill should be reduced for improving the availability of the cement plant. The RAM analysis showed that the capacity of the case study company is 17 percent underutilized due to maintenance-related problems and 15 percent underutilized because of management-related problems. Practical implications The study exhibits the usage of RAM analysis in deciding preventive maintenance programs of several cement plant subsystems. Thus, it would serve as a reference for reliability and maintenance managers in deciding maintenance strategies of cement plants as well as in improving their capacity utilization. Originality/value The study exhibits the usage of RAM analysis in deciding preventive maintenance programs of several cement plant subsystems. Even more, using a simulation study, the authors show that preventive maintenance of the cement plant beyond a certain level can be disadvantageous as it leads to an increase in downtime and decrease in availability.

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“…Based on the Pareto principle, which states 20% of problems drive the remaining 80% of problems; therefore, by addressing the accumulated majority (vital few) on the left hand side, the results will provide direct and indirect impacts to resolve the accumulated minority (trivial many) on the right hand side [51,52]. Figure 9 presents participants' responses on probable issues associated with their current maintenance strategy.…”

Section: Overall Impact Of Current Maintenance Strategy For Cnc Machine Toolsmentioning

confidence: 99%

A predictive maintenance cost model for CNC SMEs in the era of industry 4.0

Adu-Amankwa

Attia

Janardhanan

et al. 2019

Int J Adv Manuf Technol

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Within the subject area of maintenance and maintenance management, authors identified a deficiency in studies focussing on the expected value from adopting Predictive Maintenance (PdM) techniques for Machine Tools (MT)s. Authors identified no studies focusing on presenting a PdM value analysis or cost model specifically for Small-Medium Enterprise (SME)s operating Computer Numerically Controlled (CNC) MTs. This paper's novelty is addressing SMEs minimal representation in literature by explanatorily collecting data from SMEs within the focal area via surveys, modelling and analysing datasets, then proposes a cost effective PdM system architecture for SME CNC machine shops that predicts cost savings ranging from £22,804-£48,585 over a range of 1-50 CNC MTs maintained on a Distributed Numerically Controlled (DNC) network. Affirms PdM's tangible value creation for SME CNC machine shops with predicted positive impacts on their MTs cost and performance drivers. These exploratory research findings corroborates SMEs pooling together to optimize their CNC MT maintenance cost through the recommended system architecture. Finally, introduces opportunities for further PdM research taking into account SMEs' perspective. The paper's industrial application is confirmed from the surveyed SMEs that demonstrated their current utility of PdM; then anonymous positive feedback on the online dashboard, shared with participant companies, confirmed the research results supported SMEs in considering exploring the path to adapting PdM. It is anticipated that beneficiaries of this research will be maintenance managers, business executives and researchers who seek to understand the expected financial and performance impact of adopting PdM for a MT's overall life cycle costs.

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Reliability analysis of CNC turning center based on the assessment of trends in maintenance data

Cited by 31 publications

References 28 publications

The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

The Optimal System for Complex Series-Parallel Systems with Cold Standby Units: A Comparative Analysis Approach

Reliability, availability and maintainability analysis of a cement plant: a case study

A predictive maintenance cost model for CNC SMEs in the era of industry 4.0

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