Performance Analysis of Tyre Manufacturing System in the SMEs Using RAMD Approach

Velmurugan, K.; Venkumar, P.; Sudhakarapandian, R.

doi:10.1155/2021/6616037

Cited by 10 publications

(7 citation statements)

References 34 publications

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“…Most of the manufacturing system of SMEs are complex with networks of numerous subsystems, and the uptime of such a system is decided by bottleneck/critical subsystems, and thus the maintenance function of the system starts with identifying those critical subsystems. Identification of critical subsystems based on the availability prediction analysis by employing the Markov decision model and MATLAB R2019a software was already done in our previous research work [25][26][27]. Our earlier research is vital to the industrial case study undertaken in this work.…”

Section: Methodsmentioning

confidence: 99%

IIoT Based Anomaly Detection and Maintenance Management of an Industrial Rotary System

Velmurugan

Saravanasankar

Venkumar³

et al. 2022

Curr. Appl. Sci. Technol.

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Numerous challenges are being faced by implementing the Industrial Internet of Things (IIoT), which enables anomaly detection and optimal maintenance management of industrial production systems and their critical machines. Industries have started adopting this revolutionary technology along with other allied technologies to reap the full benefits out of Industry 4.0 environment. The objectives of this research work were to use the IIoT to develop a continuous monitoring system of the behavior of bottleneck facilities in a production system, to predict and avoid all possible failures, and to improve the overall productivity of the manufacturing system. The proposed prognostic health monitoring system employs IIoT sensors to measure the current values of the operating parameters of a machine, using built-in intelligent decision support mechanism to compare with optimal ranges of values, and to message the appropriate alarming signals as per the severity of the deviation. The system developed was tested with a prototype model comprising the Internet of Things, internet communication technology, and a machine learning algorithm, MEMS with standard input, output, storage and display of components, which was developed in a laboratory but implemented in a case study in a real industrial production plant. After the successful implementation of the developed system, the performance of the critical machine was evaluated in terms of metrics such as the average number of failures, average downtime and average service time spent. It was found that after the implementation, the downtime has decreased by nearly 22% and for the performance in terms of its output, the flow rate exhibited a steady increase with the passage of time.

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Section: Methodsmentioning

confidence: 99%

IIoT Based Anomaly Detection and Maintenance Management of an Industrial Rotary System

Velmurugan

Saravanasankar

Venkumar³

et al. 2022

Curr. Appl. Sci. Technol.

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“…Patil et al 33 used Markov chains in RAM analysis of a Computerized Numerical Control Turning Center. Velmurugan et al 34 used RAMD approach for performance Analysis of Tyre Manufacturing System in the Small and Medium Enterprises (SMEs). Recently, Saini et al 35 performed the availability optimization of condenser of STPP using metaheuristic methodologies.…”

Section: Introductionmentioning

confidence: 99%

Reliability, Availability, Maintainability, and Dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation

Kumar

Saini

Patil³

et al. 2022

Advances in Mechanical Engineering

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Reliability, Availability, Maintainability, and Dependability (RAMD) study of Tube-wells Integrated with Underground Pipelines (TIUP) is crucial as they are the backbone of the irrigation system. This study is carried out with an objective to perform RAMD analysis, and Failure Modes and Effects Analysis (FMEA) unified with the development of a novel stochastic model using Markovian approach to estimate the Steady-State Availability (SSA) of the TIUP. A real case study of a conventional TIUP system has been performed to validate theoretical and practical results of the proposed model. The failure and repair rates of all subsystems followed exponential distribution, and their impact on system/subsystem’s availability and other reliability measures has been investigated. All the repairs are perfect and random variables associated with failure and repair rates are statistically independent. The centrifugal pump and power supply units are the most critical components as far as reliability and maintainability aspects. The labor also plays a critical role in the operation of the TIUP system.

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“…PM is further divided into two types: conditional based maintenance (CBM) and agebased maintenance (ABM). e ABM function of complex systems in manufacturing plants is the focus of this research [3]. e Markov birth-death technique is used to organize the availability modeling of complex systems.…”

Section: Introductionmentioning

confidence: 99%

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

Velmurugan

Saravanasankar

Venkumar³

et al. 2022

Mathematical Problems in Engineering

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Small and medium-sized enterprises (SMEs) in today’s world have numerous issues in ensuring the availability and safety of critical machines and their components in the working environment. As a result, SMEs considered planning and scheduling maintenance tasks to be a significant threat. The goal of this research is to identify the critical subsystem of the automobile spare parts production plant in the southern region of Tamil Nadu, India, and then to prioritize the maintenance activity and set up an architecture for autonomous preventive maintenance (PM) in SMEs that includes an optimal decision support system. The transition state diagram of the individual and simultaneous production system has been developed with the application of the Markov decision model approach. It was used to analyze the present variables of the production systems and forecast the optimal maintenance parameters such as the failure rate and the repair rate, through the production system’s availability analysis. This availability analysis reveals that system B (Piercing) is classified as the most critical because of the abrupt availability variation compared to all other production systems, concerning the corresponding maintenance parameters such as a failure rate of 0.0371, a repair rate of 0.7094, and the availability of the piercing system of 0.5056. Finally, the use of an autonomous PM management system and the most effective maintenance workforce has enhanced productivity and customer satisfaction in SMEs. The predictive maintenance management system has been further investigated to determine the real-time remaining useful life (RUL) of critical systems in the automobile spare parts manufacturing plant in the southern region of Tamil Nadu, India.

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Performance Analysis of Tyre Manufacturing System in the SMEs Using RAMD Approach

Cited by 10 publications

References 34 publications

IIoT Based Anomaly Detection and Maintenance Management of an Industrial Rotary System

IIoT Based Anomaly Detection and Maintenance Management of an Industrial Rotary System

Reliability, Availability, Maintainability, and Dependability analysis of Tube-wells Integrated with Underground Pipelines in agricultural fields for irrigation

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

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