Purpose. Substantiate the expediency of optimizing decision-making in resource-saving maintenance mine workings. Methods. The concept ensuring conditions for repeated use working is based on modern methods managing rock pressure manifestations, conducting multifactorial computational experiments, experimental verification principles’ implementation during effective resources full-scale conditio...

Until recently, the main focus of researchers that develop algorithms for evolutionary multi-objective optimization has been the creation of mechanisms capable of obtaining sets of solutions that are as close as possible to the true Pareto front of the problem and also as diverse as possible in the objective space, to properly cover such front. However, an adequate maintenance of diversity in t...

Abstract With the increasingly complex structure of transmission system, impact power outage caused by faults in grid is becoming greater and greater. The shall cut off maintenance line equipment to ensure supply safety system. During period, how achieve safe low-cost main content control. Aiming at problem maintenance, a particle swarm optimization algorithm with goal minimum impact, economic ...

In this paper, we present a formulation that enables Ant Colony Optimization for Continuous Domains (ACOR) to seek the optimal solution of the unit maintenance scheduling problem. ACOR is a direct extension of Ant Colony Optimization (ACO). Also it is the significant ant-based algorithm for continuous optimization. For the maintenance scheduling, cost reduction is as important as reliability. T...

Maintenance of water distribution systems is becoming a critical infrastructure problem. Good maintenance practices are necessary to extend the life of water distribution system components and an optimal maintenance effort can further prolong their useful life. The decision making problem of determining the best maintenance strategy which would minimize the total discounted maintenance cost ove...

The study presented herein is aimed towards improvement of nuclear power plant safety by utilizing the probabilistic safety assessment methodology. A new time-dependent unavailability model of ageing safety equipment within the nuclear industry is proposed. Equipment ageing along with effects of corrective maintenance and preventive maintenance are modelled as an integral part of the new time-d...

Joint optimization models were developed combining group preventive maintenance of a series system and production scheduling. In this paper, we propose a joint optimization model to minimize the total cost including production cost, preventive maintenance cost, minimal repair cost for unexpected failures and tardiness cost. The total cost depends on both the production process and the machine m...

The buffer allocation problem is an NP-hard combinatorial optimization problem, and it is an important design problem in manufacturing systems. The research proposed in this paper concerns a product line consisting of n unreliable machines with n − 1 buffers and a preventive maintenance policy. The focus of the research is to obtain a better trade-off between the buffer level ...

In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts the health state of the equipment based on its usage and maintenance actions. Based on the health state, the failure rate of the equipment can be estimated. We propose to use this ...

From the analysis on the demand characteristic of maintenance material in wartime, take the maintenance material allocation of tactical single depot and multi-demand troops without supporting as the research object, according to describing the combat mission, put forward the real time allocation method of maintenance material for complex mission. Then, under the hypothesis that the material dem...