نتایج جستجو برای: preventive maintenance scheduling
تعداد نتایج: 261744 فیلتر نتایج به سال:
Preventive maintenance policies are also planned so that the overall reliability. The optimal level of preventive maintenance that maxipreventive maintenance. Maintenance policies can be further improved when they.We design an optimal preventive maintenance policy for a system of N items. An optimal maintenance policy for a system of N items, from a particular class of.Taken into considerations...
in order to perform preventive maintenance (pm), two approaches have evolved in the literature. the traditional approach is based on the use of statistical and reliability analysis of equipment failure. under statistical-reliability (s-r)-based pm, the objective of achieving the minimum total cost is pursued by establishing fixed pm intervals, which are statistically optimal, at which to replac...
This paper presents a hybrid particle swarm optimization based genetic algorithm and hybrid particle swarm optimization based evolutionary programming for solving long-term generation maintenance scheduling problem. In power system, maintenance scheduling is being done upon the technical requirements of power plants and preserving the grid reliability. The objective function is to sell electric...
In this paper, we consider a production system that must achieve a set of different requests during a finite horizon period. Among the various requests proposed, the objective is to select those to be satisfied so as to maximize the net profit. A sporadic maintenance policy is studied to minimize the maintenance costs by the achievement of perfect preventive maintenance actions after the comple...
Scheduling problem for the hybrid flow shop scheduling problem (HFSP) followed by an assembly stage considering aging effects additional preventive and maintenance activities is studied in this paper. In this production system, a number of products of different kinds are produced. Each product is assembled with a set of several parts. The first stage is a hybrid flow shop to produce parts. All ...
One of the most important assumptions in production scheduling is that the machines are permanently available without any breakdown. In the real world of scheduling, machines can be made unavailable due to various reasons such as preventive maintenance and unpredicted breakdown. In this paper, we explore flowshop configuration under the assumption of condition-based maintenance to minimize expe...
background: nowadays medical equipment plays an important role in the treatment and in the medical education. using outdated preventive maintenance (pm) system may cause problems in the cutting edge medical equipment, nervous system disease’s equipment (in diagnosis and treatment) which are crucial for every medical center. based on above facts we focused on nervous system treat units’ equipmen...
In the literature, preventive maintenance (PM) tasks are treated as one category of work such that they were interchangeable in scheduling. It is not practical in the real production system as different categories of maintenance tasks should be independent. Thus, this work modeled a new Production-Maintenance Scheduling (PMS) problem that considered different categories of maintenance with diff...
Most production scheduling problems, including High-Variety, Low-Volume (HVLV) scheduling problems assume that machines are continuously available. However, in most actual situations, machines become unavailable during certain periods when preventive maintenance (PM) is scheduled. In this paper, a HVLV scheduling problem is proposed while considering machines availability constraints. Each mach...
Most production scheduling problems, including the standard flexible job-shop scheduling problem (FJSP), assume that machines are continuously available. However, in most realistic situations, machines may become unavailable during certain periods due to preventive maintenance (PM). In this paper, a flexible job-shop scheduling problem with machine availability constraints is considered. Each m...
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