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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Performance Analysis of Tyre Manufacturing System in the SMEs Using RAMD Approach
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Performance Analysis of Tyre Manufacturing System in the SMEs Using RAMD Approach

机译:利用RAMD方法对中小企业轮胎制造系统的性能分析

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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.
机译:在最近的趋势中,由于乘客的必要性和运输需求增加,世界各地的汽车产业中的生产工厂面临着大量挑战,以实现更好的生产率和客户满意度。在这方面,皮带,轮胎和管制造工厂在汽车行业的日常生活中充当重要角色。轮胎生产厂包括五个主要单位,即原料选择,制备,轮胎部件,精加工和检查。该研究的主要目的是实施预测橡胶工业轮胎制造系统中最关键的子系统的新方法。作为在数学上,评估可靠性,可用性,可维护性和可靠性(RAMD)参数之间的任何一个维护参数,以识别关键子系统及其对轮胎生产系统的有效性的影响。在本研究中,测量维护指标变化的影响,以确定基于数学建模马尔可夫出生 - 死亡方法(MBDA)的轮胎生产系统的关键子系统,并通过使用来源的子系统的等式Chapman-Kolmogorov方法。此外,它还计算某些维护参数的性能,例如故障(MTBF)之间的平均时间(MTBF),平均修复时间(MTTR)和轮胎生产系统的每个子系统的可靠性比例的性能。最后,已经执行了轮胎生产系统的RAMD分析,以通过改变MATLAB软件的利用率来改变单个子系统的故障和修复率来预测最关键的子系统。 RAMD分析表明,子系统偏置切割最关键,最小可用性为0.8387,可靠性5.19,可靠性比0.8701,以及子系统的最大MTTR 38.46小时。在该实施方法的实施中,已经采取了对印度南部南部地区的橡胶工业生产厂的RAMD指数进行了对工业修理系统的实时研究。

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