IJE TRANSACTIONS C: Aspects Vol. 31, No. 12 (December 2018) 2077-2084   

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R. Ghandali, M. H. Abooie and M. S. Fallah Nezhad
( Received: April 07, 2018 – Accepted in Revised Form: October 26, 2018 )

Abstract    Maintenance can be the factor of either increasing or decreasing system's availability, so it is valuable work to evaluate a maintenance policy from cost and availability point of view, simultaneously and according to decision maker's priorities. This study proposes a Partially Observable Markov Decision Process (POMDP) framework for a partially observable and stochastically deteriorating system in which inspection and maintenance optimal policies of Condition Based Maintenance (CBM) must be determined to maximize the average profit and availability of the system simultaneously. A recent exact method named Accelerated Vector Pruning method (AVP) and some other popular estimating and exact methods are applied and compared in solving such problems.


Keywords    Availability-profit Maximization; Condition Based Maintenance; Partially Observable Markov Decision Process; Stochastically Deteriorating



نگهداري و تعميرات (نت)به‌عنوان فعاليتي هزينه‌بر و در عين حال سودآور مي‌تواند هم عامل افزايش دسترس‌پذيري سيستم باشد و هم عامل کاهش آن، بنابراين ارزيابي يک سياست نت از لحاظ هزينه و دسترس‌پذيري به‌طور همزمان و با توجه به اولويت‌هاي فرد تصميم گيرنده جهت ارائه‌ي يک برنامه‌ريزي جامع براي ايجاد توازن بهينه بين اهداف مذکور مي‌تواند بسيار ارزشمند باشد. مطالعهحاضر چارچوبي نوين براي برنامه‌ريزي رياضي مسئله‌ي نت وضعيت محور در قالب فرآيند تصميم‌گيري مارکف قابل مشاهده جزئي، در مورد تجهيزات قابل مشاهده‌ي جزئي رو به زوال تصادفي در سيستم‌هاي توليدي، با در نظر گرفتن فاکتورهاي هزينه و دسترس‌پذيري و نيز روابط ما بين آنها، در جهت ارائه‌ي سياست بهينه‌ي بازرسي و نت، پيشنهاد مي‌نمايد.


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