An opportunistic group maintenance model for the multi-unit series system employing Jaya algorithm

Identification of optimal maintenance parameters for best maintenance and service management system in the SMEs

“…Liang et al (2020) explained the condition-based maintenance function of the long-life asset prediction by including the environmental risk and effects in the concrete bridge maintenance by applying the Continuous-Time Semi-Markov Chain for proposing the optimal maintenance cost solution. Mishra et al (2020) studied three different maintenance models with an opportunistic maintenance approach of the series-connected multiunit manufacturing system by applying the Java algorithm in the industry. Mathiyazhagan et al (2019) described the critical overview of the numerous research studies on the present challenges for implementing the green concept in the sustainable manufacturing industry.…”

Opportunistic perfect preventive maintenance policy in presence of masked data

“…The opportunistic maintenance has been first studied by Radner and Jorgenson, 11 McCall, 12 and Jorgenson and McCall. 13 Since, budgets and costs were been more important over time, the advantage of OM overcame its disadvantages (no planning and no work preparation) and it has been developed in considerable academic and industrial works Such as Berg, 14,15 Vu et al, 16 Yuan et al, 17 Zhao et al, 18 Yang et al, 19 Cavalcante and Lopes, 9 and Mishra et al 20…”

“…10 The opportunistic maintenance has been first studied by Radner and Jorgenson,11 McCall, 12 and Jorgenson and McCall. 13 Since, budgets and costs were been more important over time, the advantage of OM overcame its disadvantages (no planning and no work preparation) and it has been developed in considerable academic and industrial works Such as Berg, 14,15 Vu et al, 16 Yuan et al, 17 Zhao et al, 18 Yang et al, 19 Cavalcante and Lopes, 9 and Mishra et al 20 In the reliability analysis of series systems, time to failure, and the exact cause of failure are collected in order to do different statistical analysis such as estimation of the reliability function and maintenance modeling. But, sometimes the exact cause of failure is unidentifiable (because of improper diagnostic equipment storage, or time and cost restrictions) and we only know that the exact cause of failure belongs to a minimum random subset (MRS) of all possible causes.…”