A Study of Flexible Manufacturing System With Multiple Failures

A Study of Flexible Manufacturing System With Multiple Failures

Monika Manglik (University of Petroleum and Energy Studies, India), Mangey Ram (Graphic Era University (Deemed), India) and Divya Ahluwalia (University of Petroleum and Energy Studies, India)
Copyright: © 2018 |Pages: 22
DOI: 10.4018/978-1-5225-3722-9.ch006

Abstract

Flexibility refers to the capability of a manufacturing system to respond cost effectively and arbitrarily to adapting production needs and necessities. This ability is becoming increasingly important for the design and operation of manufacturing systems, as these systems do function in highly variable and unpredictable environments. In this chapter, the reliability of the flexible manufacturing system has been calculated based on the mathematical framework. The model of the system consists of the system structure and the distribution of its components. The components are assumed to be repairable after various types of failures. In this work, the reliability and availability have been analyzed by using Markov process, Laplace transformations and supplementary variable techniques. Furthermore, the impacts of various failures on reliability, and availability of the system have also been analyzed.
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Literature Review

Different authors talked about the system having Markovian properties. The system has non-Markovian property can be changed over into a system having the Markovian nature by presenting another supplementary variable.

Initially, (Cox, 1955) utilized supplementary variable method for the examinations of non-Markovian systems. He displayed a methodological arrangement of reliability and availability of that system with the assistance of Supplementary variable technique. Dhillon and Yang (1995) displayed a numerical model for reliability and availability investigation of a general standby system with expanding human error rates and irregular fizzled framework and repair rates. The authors utilized joint density function approach and supplementary variable method. Elsayed and Turley (1980) introduced a two-stage manufacturing system with buffer storing. Ram and Viswanadham (1994) introduced a structure for execution assessment of assembling system subject to failure and repair. Jain et al. (2002) explored a stochastic model for an assembling system comprising of adaptable machine, stacking/emptying robot and a computerized bed taking care of gadget. Lin and Chang (2012) examined the reliability of assembling systems with improving activity and distinctive failure rates. Kumar et al. (1988) dissected the accessibility of the encouraging system in the sugar industry. Gottumullala et al. (2010) talked about the dependability of k hubs for superior registering application. Different authors have worked in the field of dependability of mechanical frameworks, for example Dhillon and Natesan (1983), Mahajan and Singh (1996, 1997), Gupta et al. (2007), and so forth have examined the reliability and accessibility of the different assembling systems by utilizing distinctive methods. The execution examination of plastic pipe producing plant was talked about by Gupta et al. (2007) accepting consistent failure and repair rates. Manglik and Ram (2014) examined the different dependability measures of hydroelectric power plant under various failures by utilizing supplementary variable strategy and Markov Process. Wang et al. (2012) examined two accessibility systems with warm standby and diverse flawed scope. Ram et al. (2013) talked about a scope demonstrate for a parallel repetitive system to enhance the reliability, availability and for the decrease in the cost of the system. Garg et al. (2010) talked about the maintenance planning of a repairable square board producing system.

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