نوع مقاله : مقاله پژوهشی
نویسندگان
1 کاندیدای دکترای مدیریت صنعتی، گروه مدیریت صنعتی، دانشگاه تهران،
2 دانشیار، دانشکده مدیریت، دانشگاه تهران
چکیده
زمانبندی تعمیرات و جایگزینی پیشگیرانه یکی از مهمترین موضوعات در ادبیات مهندسی قابلیت
اطمینان و تعمیرات سیستم می باشد . اهمیت این موضوع در سیستمهای سری که باتوقف یک جزء
کل سیستم نیز متوقف می شود بیشتر مشهود است. هر چند تلاش برای زمان بندی دوره ای کارا برای
همه اجزا یک سیستم در حالی که دارای اهداف متضاد هست کار ساده ای به نظر نمی رسد. هدف از
این مقاله ارائه مدل زمانبندی تعمیرات و جایگزینی پیشگیرانه برای سیستم های سری در بازه های
زمانی متغیر و از پیش تعیین نشده و با اعمال تورم در مدل می باشد. اهداف مدل شامل کمینه کردن
هزینه های از کارافتادگی، تعمیرات، جایگزینی، ثابت و بیشینه کردن قابلیت اطمینان سیستم می باشد.
مدل به مدد برنامه ریزی چند هدفه فازی و همچنین برنامه ریزی غیرخطی عدد صحیح طراحی شده
است. همچنین مدل پیشنهادی برای یک سیستم مورد مطالعه بامثال عددی حول و ضمن تحلیل
سناریوهای مختلیف، به بررسی اثر تورم و نحوه اثر گذاری آن در مدل پرداخته می شود. نتایج به دست
آمده حاکی از آن است که اعمال تورم در مدل نه تنها برنامه زمانبندی برای جایگزینی و تعمیرات را
با تغییر مواجه می کند، بلکه عمر مؤثر اجزا را هم تحت تاثیر قرار می دهد.
کلیدواژه‌ها
عنوان مقاله [English]
Fuzzy multi-objective preventive maintenance and replacement scheduling using integer non-linear programming
نویسندگان [English]
- Reza Alikhani 1
- Mahmoud Saremi 2
1
2
چکیده [English]
The scheduling of preventive maintenance and replacement is one of the crucial issues in the literature of system reliability and maintenance engineering. The importance of this issue is more evident in series system in which by stopping a component the whole system will stop. However, the quest of the efficient periodicity maintenance for all of component of a system which has antagonistic objectives is not a trivial task. The aim of this paper is to presenting scheduling model of preventive maintenance and replacement for series system by variable and not predetertmined periods and also by applying inflation in the model. The model is designed based on fuzzy multi-objective and integer non-linear programming. Also the proposed model is solved for a case study with numerical example and furthermore, analysis of various senarios, the effects of inflation on the model will be considered. The results show that applying inflation in the model changes not only scheduling for replacement and maintenance, but also affects the effective age of components
کلیدواژه‌ها [English]
- Scheduling
- Preventive maintenance and replacement
- reliability
- Inflation
- Fuzzy muli-objective programming
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