Determination of optimal conditions of machining parameters is important to reduce the production cost and achieve the desired surface quality. This paper investigates the influence of cutting parameters on surface roughness and natural frequency in turning of aluminum alloy AA2024. The experiments were performed at the lathe machine using two different cutting tools made of AISI 5140 and carbi...

The quality loss function developed by Genichi Taguchi considers three cases, nominal-thebest, smaller-the-better, and larger-the-better. The methodology used to deal with the larger-thebetter case is slightly different than the other two cases. This research employs a term called target-mean ratio to propose a common formula for all three cases to bring about similarity among them. The target-...

Let X be a random variable from a normal distribution with unknown mean θ and known variance σ2. In many practical situations, θ is known in advance to lie in an interval, say [−m,m], for some m > 0. As the usual estimator of θ, i.e., X under the LINEX loss function is inadmissible, finding some competitors for X becomes worthwhile. The only study in the literature considered the problem of min...

In this paper, the estimation of a scale parameter t under a new and bounded loss function, based on a reflection of the gamma density function, is discussed. The best scale-invariant estimator of tis obtained and the admissibility of all linear functions of the sufficient statistic, for estimating t in the absence of a nuisance parameter, is investigated

In modern machining process, optimization technique is used to find the optimal values of input parameters and the effect of those parameters on response variables. If response parameters are more than one, Taguchi method of optimization may give different set of optimal levels for each response. In the present study, Taguchi-grey relational approach based multi response optimization has been u...

This paper offers a different view of quality that has traditionally been used. Uniformity of products is of greater concern than just conformance to specifications. Improvement in quality by reducing the number of defectives is a goal every organization likes to pursue. However, the reduction of defectives requires an additional investment in procuring suitable technology and training of emplo...

In this paper, a Bayesian approach is proposed for shift point detection in an inverse Gaussian distribution. In this study, the mean parameter of inverse Gaussian distribution is assumed to be constant and shift points in shape parameter is considered. First the posterior distribution of shape parameter is obtained. Then the Bayes estimators are derived under a class of priors and using variou...

Electrical discharge machining is assessed on the basis of Material Removal Rate (MRR), Tool Wear Rate (TWR), and Surface Roughness (SR). Process parameters that mostly affected the EDM Process are Pulse on Time, Pulse off Time, Discharge Current, Arc Gap and Duty Cycle. This paper reviews research for the optimization and improvement of various performance parameters measured in the experiment...

In this paper, a hybrid Taguchi-immune algorithm (HTIA) is presented to deal with the unit commitment problem. HTIA integrates the Taguchi method and the traditional immune algorithm (TIA), providing a powerful global exploration capability. Taguchi method (TM) has been widely used in experimental designs for problems with multiple parameters, and is incorporated into TIA in this paper for the ...