Allocation of Repairable and Replaceable Components for a System Availability Using Selective Maintenance with Probabilistic Maintenance Time Constraints

Autor:	Mohammed Faisal Khan, Abdul Bari, Yashpal Singh Raghav, Irfan Ali
Rok vydání:	2011
Předmět:	Constraint (information theory) Mathematical optimization Software Selective maintenance Computer science business.industry General Engineering Optimal allocation Probabilistic logic Systems design Operations management Interval (mathematics) business
Zdroj:	American Journal of Operations Research. :147-154
ISSN:	2160-8849 2160-8830
DOI:	10.4236/ajor.2011.13016
Popis:	In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint into an equivalent deterministic constraint by using chance constrained programming. We have used the selective maintenance policy to determine how many components to be replaced & repaired within the limited maintenance time interval and cost. A Numerical example is presented to illustrate the computational procedure and problem is solved by using LINGO Software.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2b958520e5e4afcdfab0024bc19b95c8 https://doi.org/10.4236/ajor.2011.13016 Zobrazit plný text záznamu