Performance modeling of the serial processes in refining system of a sugar plant using RAMD analysis

Aggarwal, Anil Kr.; Kumar, Sanjay; Singh, Vikram

doi:10.1007/s13198-016-0496-1

Cited by 9 publications

(7 citation statements)

References 17 publications

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“…The high value of dependability ratio represents the necessity of maintenance. Aggarwal et al [24] mentioned that the dependability value increases if availability is above 0.9 and decreases if availability is less than 0.1. The minimum value of dependability is given by:…”

Section: Dependabilitymentioning

confidence: 99%

“…Sinha and Mukhopadhyay [23] carried out failure analysis of jaw crusher and its components using ANOVA methodology. Aggarwal et al [24] developed a mathematical model for performance evaluation of the serial processes in refining system of a sugar plant using RAMD analysis. Aggarwal et al [25] suggested a mathematical model and analyzed fuzzy availability of serial processes in the crystallization system of a sugar plant.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of evaporation system in sugar industry using RAMD analysis

Saini

Kumar

2019

J Braz. Soc. Mech. Sci. Eng.

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The main aim of this study is to analyze the application of reliability, availability, maintainability and dependability in identification of most sensitive subsystem of evaporation system in sugar plant. For this analysis, transition diagram of all subsystems is drawn and respective Chapman-Kolmogorov differential equations are derived using Markov birth-death process. All failure and repair rates of each subsystem are exponentially distributed. Various measures of system effectiveness like mean time between failures, mean time to repair and dependability ratio for all the three subsystems are also computed. Sensitivity analysis of system reliability is also performed. The reliability and maintainability are estimated at various time instants. Analysis of all the subsystems shows that sulphited syrup is highly sensitive from reliability point of view. The derived measures are shared with system designers for their active deliberation.

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Section: Dependabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance analysis of evaporation system in sugar industry using RAMD analysis

Saini

Kumar

2019

J Braz. Soc. Mech. Sci. Eng.

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“…e proposed results identified the critical subsystem in the milk powder production system with concerning variation in the values of major maintenance parameters [16]. Identifying the utmost critical operation in the tunnel boring systems in mixed ground conditions has been illustrated, and the RAMD of the individual tunnel boring operations in mixed ground conditions is obtained with the application of the Markov chain process [17]. Performance modeling of the refined systems in the sugar plant has been presented through the application of the Markov birth-death approach.…”

Section: Introductionmentioning

confidence: 99%

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

Velmurugan

Venkumar

Sudhakarapandian

2021

Mathematical Problems in Engineering

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In the recent trends, production plants in the automobile industries all over the world are facing a lot of challenges to achieve better productivity and customer satisfaction due to increasing the passenger’s necessity and demand for transportation. In this direction, the belt, tyre, and tube manufacturing plants act as vital roles in the day-to-day life of the automobile industries. Tyre production plant comprises five major units, namely, raw material selection, preparation, tyre components, finishing, and inspection. The main purpose of this research is to implement the new method to predict the most critical subsystems in the tyre manufacturing system of the rubber industry. As mathematically, any one maintenance parameter among reliability, availability, maintainability, and dependability (RAMD) parameters is evaluated to identify the critical subsystems and their effect on the effectiveness of the tyre production system. In this research, the effect of variation in maintenance indices, RAMD, is measured to identify the critical subsystem of the tyre production system based on the mathematical modeling Markov birth-death approach (MBDA), and the equations of the subsystems are derived by using the Chapman–Kolmogorov method. Besides, it also calculates the performance of certain maintenance parameters concerning time such as mean time between failures (MTBF), mean time to repair (MTTR), and dependability ratio for each subsystem of the tyre production system. Finally, RAMD analysis of the tyre production systems has been executed for predicting the most critical subsystem by changing the rates of failure and repair of individual subsystems with the utilization of MATLAB software. RAMD analysis reveals that the subsystem bias cutting is most critical with the minimum availability of 0.8387, dependability 5.19, dependability ratio 0.8701, and maximum MTTR 38.46 hours of the subsystem. In this implementation of the proposed method, a real-time case study of the industrial repairable system of tyre manufacturing system has been taken for evaluating RAMD indices of the production plant of rubber industry cited in the southern region of Tamil Nadu, India.

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“…Maintainability is a design factor that decides the degree to which a product allows safe, quick and easy replacement of its component parts. Design for maintainability refers to designing the system to find the optimum balance between capital cost and ongoing maintenance cost (Barabadi et al 2010;Tortorella 2015;Tsarouhas 2015;Garmabaki et al 2016a;Gharahasanlou et al 2017;Kumar et al 2017;Aggarwal et al 2017). Design for maintainability needs to consider human ergonomics, logistics management, design layout, the level of experience and training of maintenance personnel and so on (Knezevic 1993;Naseri and Barabady 2016).…”

Section: Introductionmentioning

confidence: 99%

A mixture frailty model for maintainability analysis of mechanical components: a case study

Zaki

Barabadi

Qarahasanlou

et al. 2019

Int J Syst Assur Eng Manag

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Knowing the maintainability of a component or a system means that repair resource allocations, such as spare part procurement and maintenance training, can be planned and optimized more effectively. Repair data are often collected from multiple and distributed units in different operational conditions, which can introduce heterogeneity into the data. Part of such heterogeneity can be explained and isolated by the observable covariates, whose values and the way that they can affect the item's maintainability are known. However, some factors which may affect maintainability are typically unknown (unobserved covariates), leading to unobserved heterogeneity. Nevertheless, many researchers have ignored the effect of observed and un-observed covariates, and this may lead to erroneous model selection, as well as wrong conclusions and decisions. Moreover, many authors have simplified their analysis by considering a complex system as a single item. In these studies, the assumption is that all repair data represent an identical repair process for the item. In practice, mechanical systems are composed of multiple parts, with various failure mechanisms, which need different repair processes (repair modes) to return to the operational phase; classical distribution, such as lognormal, which is only a function of time, may not be able to model such complexity. The paper utilizes the Mixture Frailty Model (MFM) in the presence of some specific observed or unobserved covariates to predict maintainability more precisely. Mixture Frailty Models can model the effect of observed and unobserved covariates, as well as identifying different repair processes in the repair dataset. The application of the proposed model is demonstrated by a case study.

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Performance modeling of the serial processes in refining system of a sugar plant using RAMD analysis

Cited by 9 publications

References 17 publications

Performance analysis of evaporation system in sugar industry using RAMD analysis

Performance analysis of evaporation system in sugar industry using RAMD analysis

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

A mixture frailty model for maintainability analysis of mechanical components: a case study

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