دانلود مقاله ISI انگلیسی شماره 108027
ترجمه فارسی عنوان مقاله

فرایندهای ورودی مارکویو زمان گسسته به منظور مدل سازی سیستم های پیچیده چند جانبه با از دست دادن واحدها و تعداد متغیر نامطلوب تعمیر کننده ها

عنوان انگلیسی
Discrete-time Markovian arrival processes to model multi-state complex systems with loss of units and an indeterminate variable number of repairpersons
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
108027 2018 39 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Reliability Engineering & System Safety, Volume 174, June 2018, Pages 114-127

ترجمه کلمات کلیدی
سیستم چند دولتی، فرایند ورود مارکویچ، تعمیر و نگهداری پیشگیرانه، تعمیرکارهای چندگانه و متغیر،
کلمات کلیدی انگلیسی
Multi-state system; Markovian arrival process; Preventive maintenance; Multiple and variable repairpersons;
پیش نمایش مقاله
پیش نمایش مقاله  فرایندهای ورودی مارکویو زمان گسسته به منظور مدل سازی سیستم های پیچیده چند جانبه با از دست دادن واحدها و تعداد متغیر نامطلوب تعمیر کننده ها

چکیده انگلیسی

In this study, three discrete-time multi-state complex systems subject to multiple events are modeled, in a well structured form, as Markovian arrival processes with marked arrivals. The systems, ranked by the number of events affecting the online unit, have multiple and variable repairpersons, and the online unit are partitioned into performance stages. The first system is subject only to internal failures. The second, additionally, considers external shocks, which can produce any of three consequences; extreme failure, degradation of the internal performance of the online unit or cumulative damage. Failure may be repairable or non-repairable. The repair facility is composed of an indeterminate number of repairpersons. When a non-repairable failure occurs, the number of repairpersons may be modified. Finally, the third system includes preventive maintenance in combination with random inspections. Various measures are incorporated, in an algorithmic and computational form, in transient and stationary regimes. Costs and rewards are included in the model to optimize the system from different standpoints. The results of this study are implemented computationally with Matlab, and a numerical example shows the versatility of the modeling.