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...

We apply a genetic algorithm (GA) to optimize a reliability design problem using a neural network as a reliability estimator for calculation of the objective function value during the search. The GA produces the lowest cost option for a required system reliability by selecting the appropriate parts and levels of redundancy. We show that the neural network estimator is effective and computationa...

In this paper, redundancy allocation problem for system reliability has been presented with entropy as objective function. This model using entropy has been used to account for the lack of expert’s information. The goal of entropy redundancy allocation problem is to find out optimal level of redundancies at each subsystem in a way that maximizes reliability and entropy of the system subject to ...

In a deregulated power industry, a maintenance strategy is of critical importance for transmission systems composed of aging components. Such a strategy can provide significant cost savings by optimizing maintenance decisions for power system operation. This paper presents a Reliability-Centered Maintenance (RCM) model for developing a maintenance strategy in a transmission system. This model i...

in the early stages of a construction project, the reliability and accuracy of conceptual cost estimates are major concerns for clients and cost engineers. previous studies applied scoring methods and established common rules or mathematical methods to assess the quality of cost estimates. however, those approaches have some limitations in adapting to real-world projects or require understandin...

the paper studies optimization of shell-and-tube heat exchangers using the particle swarm optimization technique. a total cost function is formulated based on initial and annual operating costs of the heat exchangers. six variables – shell inside diameter, tube diameter, baffle spacing, baffle cut, number of tube passes and tube layouts (triangular or square) – are considered as the design para...

cost optimization of the reinforced concrete cantilever soil retaining wall of a given height satisfying some structural and geotechnical design constraints is performed utilizing harmony search and improved harmony search algorithms. the objective function considered is the cost of the structure, and design is based on aci 318-05. this function is minimized subjected to design constraints. a n...

Metaheuristic algorithms are preferred by the many researchers to reach the reliability based design optimization (RBDO) of truss structures. The cross-sectional area of the elements of a truss is considered as design variables for the size optimization under frequency constraints. The design of dome truss structures are optimized based on reliability by a popular metaheuristic optimization tec...