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Level of repair analysis (LORA) and multi-echelon technique for recoverable item control (METRIC) type methods are widely used to solve the downtime costs of complex equipment. In this paper, a joint optimal model of LORA and spares inventory for cases of fuzzy failure rate is constructed, and fuzzy parameters are implemented to deal with these uncertain factors to make optimal decisions. Taking the...
A novel approach is proposed that quantifies the impact of parameter and control implementation inaccuracies on the performance of open loop control policies. Such information can be used to decide whether more laboratory experiments are needed to produce parameter estimates of higher accuracy, or to define performance objectives for lower level control loops which implement the optimal control trajectory...
Stochastic optimization of computationally expensive problems is a relatively new field of research in evolutionary computation (EC). At present, few EC works have been published to handle problems plagued with constraints that are expensive to compute. This paper presents a surrogate-assisted memetic co-evolutionary framework to tackle both facets of practical problems, i.e. the optimization problems...
This paper presents two-dimensional numerical investigations on the phenomenon of deep dynamic stall at a low Reynolds number flow over an oscillating airfoil. Numerical simulations were performed using the RANS model by solving the Navier-Stokes equations with two low Reynolds number turbulence models. The SST k-ω model with low Reynolds number correction and the v2-f model have been employed and...
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