Dolph-Chebychev arrays are known to exhibit the best compromise between sidelobe level and directivity. However, they place a constraint on the null locations. Any attempt to impose nulls or get them deeper will impact the directivity/sidelobe level trade-off. In this work, null placement in Dolph-Chebychev arrays through element position perturbation is carried out based on Taguchi method whil...

Support Vector Machines (SVM) is a powerful classification technique in data mining and has been successfully applied to many real-world applications. Parameter selection of SVM will affect classification performance much during training process. However, parameter selection of SVM is usually identified by experience or grid search (GS). In this study, we use Taguchi method to make optimal appr...

By the grey-based Taguchi methods, this study attempts to analyze the process parameters pertinent to the multiple performance characteristics of linear motion guides and obtain the multiple performance characteristics of the noise level, push force value and horizontal combination precision of the linear motion guide with multiple qualities. Optimal process parameters are determined by using t...

Cloud Computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. Cloud Computing users prefer not to own physical infrastructure, but instead rent Cloud infrastructure, a Cloud platform or software, from a third-party provider. Sometimes, anomalies and defects affect a part of the Cloud platform, resulting in degradat...

The supplier selection problem is based on electing the best supplier from a group of prespecified candidates, is identified as a Multi Criteria Decision Making (MCDM), is proportionately significant in terms of qualitative and quantitative attributes. It is a fundamental issue to achieve a trade-off between such quantifiable and unquantifiable attributes with an aim to accomplish the best solu...

Plastic extrusion has been a challenging process for many manufacturers and researchers to produce products meeting requirements at the lowest cost. Faced with global competition in plastic-products industry, using the trial-anderror approach to determine the process parameters for plastic extrusion is no longer good enough. During production, quality characteristics may deviate due to drifting...

Multi-objective optimization Genetic Algorithms Robust Design The following paper describes the main objective to follow the methodology used and proposed to obtain the optimal values of WEDM process operation on the machine Robofil 310 by robust parameter design (RPD) of Dr. G. Taguichi [TAGUCHI, G. 1993], through controllable factors which result in more inferences regarding the problem to no...

The two major challenges that industries are facing today are continuous improvement in productivity and quality of the product. An alternative to the Classical and Taguchi experimental design is the lesser known but much simpler Shainin DOE approach. Shainin methods refer to a collection of principles, which make up the framework of a continually evolving approach to quality. Bosch Production ...

In this study, an experiment is conducted to optimize the machining parameters of the Electric Discharge Machining on EN 31 tool steel with copper as an electrode considering the performance characteristics using the Taguchi method. Performance characteristics Material Removal Rate has been chosen to evaluate the machining effects. Parameters selected in this study are Pulse on time, Pulse off ...

The target costing technique, mathematically discussed by Sauers, only uses the p C index along with Taguchi loss function and X -R control charts to setup goal control limits. The new specification limits derived from Taguchi loss function is linked through the p C value to X -R control charts to obtain goal control limits. In this study, the target costing technique is exploited by further co...