{"title":"可修复的可用性和平均故障间隔时间<i>k-out-N: G</i>具有相同组件的系统","authors":"Mohammed A. Hajeeh","doi":"10.1504/ijids.2023.134792","DOIUrl":null,"url":null,"abstract":"This study presents Markov models for assessing the availability and the mean time to failure (MTTF) of a k-out-of n: G system with exponentially distributed time between failures and repair times. Generalised analytical expressions for the steady-state availability and MTTF are derived. Furthermore, numerical examples are used to illustrate the performance of several models along with the cost of adopting different configurations.","PeriodicalId":38184,"journal":{"name":"International Journal of Information and Decision Sciences","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Availability and mean time to failure for repairable <i>k-out-N: G</i> systems with identical components\",\"authors\":\"Mohammed A. Hajeeh\",\"doi\":\"10.1504/ijids.2023.134792\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents Markov models for assessing the availability and the mean time to failure (MTTF) of a k-out-of n: G system with exponentially distributed time between failures and repair times. Generalised analytical expressions for the steady-state availability and MTTF are derived. Furthermore, numerical examples are used to illustrate the performance of several models along with the cost of adopting different configurations.\",\"PeriodicalId\":38184,\"journal\":{\"name\":\"International Journal of Information and Decision Sciences\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Information and Decision Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijids.2023.134792\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Information and Decision Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijids.2023.134792","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
Availability and mean time to failure for repairable <i>k-out-N: G</i> systems with identical components
This study presents Markov models for assessing the availability and the mean time to failure (MTTF) of a k-out-of n: G system with exponentially distributed time between failures and repair times. Generalised analytical expressions for the steady-state availability and MTTF are derived. Furthermore, numerical examples are used to illustrate the performance of several models along with the cost of adopting different configurations.
期刊介绍:
In today''s fast-paced business environment, even with an abundance of information, decision-making can be complex and slow. As floods of data emerge, effective information processing is sought as a panacea. With the ever-present spectre of uncertainty, sound decisions are key. As a consequence of the various conflicts/dilemmas, employment of efficient data management leading to better decision-making is the goal. Organisations must employ effective information management/decision-making processes at each critical stage of their functions. IJIDS addresses the issues involved in this. Topics covered include: -AHP or DEA -Behavioural sciences, psychology, sociology -Business intelligence, economics -Computing and decision sciences, data-driven decision making -Decision making in social setting, under uncertainty, with multimedia -Decision support systems/software -Decision theory, decision trees, MCDM -Ethical decision making, group decision making, software -Fuzzy information processing, game theory, grid analysis, informatics, IT -Intelligent agent technologies, neural networks, OLAP -Knowledge discovery in databases, web search, scenario/system analysis -Mathematics of decision sciences, decision making methods/styles -Perspectives of decision making, robust decisions, morphological analysis -Political/public decision making -Risk management, statistics