Maintenance policy determination for a complex system consisting of series and cold standby system with multiple levels of maintenance action

2015 ◽  
Vol 78 (5-8) ◽  
pp. 1337-1346 ◽  
Author(s):  
R. Jamshidi ◽  
Mir Mehdi Seyyed Esfahani
2019 ◽  
Vol 25 (2) ◽  
pp. 182-198
Author(s):  
Faqun Qi ◽  
Binghai Zhou

Purpose The purpose of this paper is to develop novel preventive maintenance (PM) modeling methods for a cold standby system subject to two types of failures: random failure and deterioration failure. Design/methodology/approach The system consists of two components and a single repair shop, assuming that the repair shop can only service for one component at a time. Based on semi-Markov theory, transition probabilities between all possible system states are discussed. With the transition probabilities, Markov renewal equations are established at regenerative points. By solving the Markov regenerative equations, the mean time from the initial state to system failure (MTSF) and the steady state availability (SSA) are formulated as two reliability measures for different reliability requirements of systems. The optimal PM policies are obtained when MTSF and SSA are maximized. Findings The result of simulation experiments verifies that the derived maintenance models are effective. Sensitivity analysis revealed the significant influencing factors for optimal PM policy for cold standby systems when different system reliability indexes (i.e. MTSF and SSA) are considered. Furthermore, the results show that the repair for random failure has a tremendous impact on prolonging the MTSF of cold standby system and PM plays a greater role in promoting the system availability of a cold standby system than it does in prolonging the MTSF of system. Practical implications In practical situations, system not only suffers normal deterioration caused by internal factors, but also undergoes random failures influenced by random shocks. Therefore, multiple failure types are needed to be considered in maintenance modeling. The result of the sensitivity analysis has an instructional role in making maintenance decisions by different system reliability indexes (i.e. MTSF and SSA). Originality/value This paper presents novel PM modeling methods for a cold standby system subject to two types of failures: random failure and deterioration failure. The sensitivity analysis identifies the significant influencing factors for optimal maintenance policy by different system reliability indexes which are useful for the managers for further decision making.


2018 ◽  
Vol 2 (01) ◽  
Author(s):  
Asep Saefuddin

COMMUNICATION Membangun Sistem Pendidikan Nasional, Mewujudkan Manusia Indonesia yang Unggul dan Berkarakter Abstrak Tulisan pendek ini merupakan pemikiran awal yang dihasilkan dari pandangan penulis yang bertujuan untuk memperbaiki kondisi pendidikan di negeri ini dari tingkat dasar sampai perguruan tinggi. Tulisan ini menekankan bahwa pendidikan merupakan sebuah sistem yang kompleks yang tidak dapat dipisahkan dari konteks politik, budaya dan ekonomi baik di tingkat lokal, nasional, regional, maupun internasional. Pendidikan sebagai suatu sistem kompleks, terdiri atas banyak komponen yang berinteraksi pada beberapa lapisan organisasi dan pada skala waktu yang berbeda. Kata Kunci: pendidikan, sistem kompleks Building a National Education System, Realize of indonesian people that Characterless and Excellence Abstract This short article is an initial thoughts resulting from the view of the author that aims to improve the state of education in this country from primary to university level. This paper emphasizes that education is a complex system that can not be separated from the political, cultural and economic at the local, national, regional, and international levels. Education as a complex system, consisting of many components that interact at multiple levels of the organization and at different time scales. Keywords: education, complex systems


2015 ◽  
Vol 4 (4) ◽  
pp. 569-578 ◽  
Author(s):  
Ashish Kumar ◽  
Sonali Baweja ◽  
Monika S. Barak

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