جلد 27، شماره 4 - ( 9-1395 )                   جلد 27 شماره 4 صفحات 351-337 | برگشت به فهرست نسخه ها


XML English Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Salmasnia A, Ghasemi E, Mokhtari H. Optimum Maintenance Strategy Selection using a Hybrid Approach based on Analytical Hierarchy Process and Revised Multi Choice Goal Programming . IJIEPR 2016; 27 (4) :337-351
URL: http://ijiepr.iust.ac.ir/article-1-720-fa.html
Optimum Maintenance Strategy Selection using a Hybrid Approach based on Analytical Hierarchy Process and Revised Multi Choice Goal Programming . نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1395; 27 (4) :337-351

URL: http://ijiepr.iust.ac.ir/article-1-720-fa.html


چکیده:   (6021 مشاهده)

This study aims to select optimal maintenance strategy for components of an electric motor of the National Iranian Oil Refining and Distribution Company. In this regard, a method based on revised multi choice goal programming and analytic hierarchy process (AHP) is presented. Since improving the equipment reliability is an important issue, reliability centered maintenance (RCM) strategies are introduced in this paper. Furthermore, on one hand, we know that maintenance cost consists of a considerable percentage of production cost; on the other hand, the risk of equipment failure is a main factor on personnel’s safety. Consequently, the cost and risk factors are selected as important criteria of maintenance strategies.

     
نوع مطالعه: پژوهشي | موضوع مقاله: قابلیت اطمینان
دریافت: 1395/12/15 | پذیرش: 1395/12/15 | انتشار: 1396/1/28

ارسال نظر درباره این مقاله : نام کاربری یا پست الکترونیک شما:
CAPTCHA

بازنشر اطلاعات
Creative Commons License این مقاله تحت شرایط Creative Commons Attribution-NonCommercial 4.0 International License قابل بازنشر است.

کلیه حقوق این وب سایت متعلق به نشریه بین المللی مهندسی صنایع و تحقیقات تولید می باشد.

طراحی و برنامه نویسی : یکتاوب افزار شرق

© 2024 CC BY-NC 4.0 | International Journal of Industrial Engineering & Production Research

Designed & Developed by : Yektaweb