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این مقاله علمی پژوهشی (ISI) به زبان انگلیسی از نشریه الزویر مربوط به سال ۲۰۲۲ دارای ۱۰ صفحه انگلیسی با فرمت PDF می باشد در ادامه این صفحه لینک دانلود رایگان مقاله انگلیسی و بخشی از ترجمه فارسی مقاله موجود می باشد.
کد محصول: m1262
سال نشر: ۲۰۲۲
نام ناشر (پایگاه داده): الزویر
نام مجله: Reliability Engineering and System Safety
نوع مقاله: علمی پژوهشی (Research articles)
تعداد صفحه انگلیسی: ۱۰ صفحه PDF
عنوان کامل فارسی:
مقاله انگلیسی ۲۰۲۲ : برنامه ریزی پروژه بحرانی و مدیریت موجودی قطعات یدکی در نگهداری و تعمیرات خاموش (در حالت توقف ماشین آلات)
عنوان کامل انگلیسی:
Critical project planning and spare parts inventory management in shutdown maintenance
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Abstract
In the process industry, plant production is completely halted every so many years for large-scale maintenance comprising inspection, repair and overhaul. It is paramount that this shutdown maintenance is completed according to the planning, which requires timely availability of replacement parts. In this setting, we present a spare parts optimization model and algorithm that includes the cost-time trade-off and precedence constraints between maintenance activities. The objective is to balance between spare parts ordering cost and the expected project delay cost due to waiting for spare parts. Using two-stage stochastic programming, spare parts ordering policies are determined in the first stage and a detailed project schedule is developed in the second stage. We propose a sample average approximation with importance sampling and pruning of dominated activities to solve the problem, and demonstrate that this method solves large instances quickly. We also consider heuristics, e.g. the standard project management approach based on the widely used critical path method and two heuristics that draw from spare part inventory control literature. These heuristics give poor solutions.
Keywords: Shutdown maintenance, Project planning, Spare parts management, On-condition maintenance
۱.Introduction
Maintenance activities that cannot be carried out under normal production conditions and that can only be performed if the equipment is not in use are referred to as shutdown maintenance; the terms outage and turnaround are roughly equivalent. Shutdown maintenance consists of disassembly, comprehensive inspection, repairing and replacement of parts, and overhaul. Though it is the most expensive of all types of maintenance, it is necessary and cost-effective, especially in industrial sectors such as refineries, chemical and petrochemical plants and power generation plants which usually have continuous production cycles [cf. 1]. Shutdowns are crucial for system safety and necessary for plants to ensure their reliability. Plants will suffer consequence or a great loss if the shutdown is poorly managed…
۶.Discussion and conclusion
A good planning for shutdown maintenance is rewarding as delays are costly. We investigated the order policy of spare parts in the initial/ preparation phase of the shutdown maintenance. In the shutdown project, the delay due to the shortage of spare part in each activity propagates along with the path in the project network, which may lead to delays 𝛥 in the project, and hence costly production losses. We investigate the case where the demand probability of each part is small, which complicates the order decision. For a two-activity project, we completely characterized the optimal solution. For general networks, we developed a two-stage integer linear stochastic program to obtain the optimal order size. We found that for activities that are never on the critical path, the optimal solution can be expressed in closed form. In solving the problem, we proposed sample average approximation with importance sampling for the activities that can be on the critical path. We also proposed removal and stock heuristics for the problem, yet they are not faster nor more accurate. We found that scenario based heuristics give an acceptable approximation. The solution of the heuristic based on standard critical path with normal distributed project time assumption is far away from the optimum.
In the present paper, the duration of each activity is delayed by a fixed number of days if a spare part is needed and not readily available; this delay correspond to an emergency shipment. Emergency shipment leadtimes could also be stochastic, and our stochastic programming approach could incorporate that. Also, a variable base duration of activities could be straightforwardly included. Our scenario-based approach may also be useful for project planning under low-probability, high consequence risks in general, e.g. for infrastructure projects.
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