In the published studies, to best of authors’ understanding, grey Taguchi-based statistical technique has not been applied for optimization combined gas-steam power plants. view this, seven essential input parameters namely compressor inlet air temperature, pressure ratio, fuel volumetric flow rate fuel, gas turbine maximum efficiency, and efficiency are chosen with aim determining optimal comb...

This paper highlights an integrated approach to solve the correlated multi-response optimization problem through a case study in submerged arc welding (SAW). The proposed approach has been presented to overcome different limitations and drawbacks of existing optimization techniques available in literature. Traditional Taguchi optimization technique is based under the assumption that quality res...

A proper monitoring of stochastic systems is the control charts statistical process and drift in characteristics output may be due to one or several assignable causes. Although many research works have been done on economic design with single cause, T^2 chart under Weibull shock model multiple causes considering multivariate Taguchi loss function has not presented yet. Using concept quality lea...

Balancing the project’s time, cost, and quality involves deciding on different implementation methods for each project activity. Time cost are minimized simultaneously, of final product or service is maximized. Indeed, use search to determine optimal execution activity requires evaluation review various performance criteria such as especially These measures, methods, reported recorded in inaccu...

this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

A new cost function based on stochastic fuzzy discrimination information measure is introduced in this paper. Focusing on their significant parts, this cost function is used to find the optimal value of threshold for denoising image. It is, in fact, an extension of fuzzy entropy cost function by the present author. Multivariable normal distribution is used for creating focus on significant part...