V. Selladurai

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This paper proposes an Art Modified Single Linkage Clustering approach (ART-MOD-SLC) to solve cell formation problems in Cellular Manufacturing. In this study, an ART1 network is integrated with Modified Single Linkage Clustering (MOD-SLC) to solve cell formation problems. The Percentage of Exceptional Elements (PE), Machine Utilization (MU), Grouping(More)
This research applies the fractional factorial experimentation approach to study the effect of turning parameters such as cutting speed, feed rate, depth of cut and tool nose radius on the surface roughness of turned surfaces. A mathematical model was developed relating surface roughness and the turning factors by using Response Surface Methodology (RSM)(More)
The cutting forces exerted by the cutting tool on the work piece during a machining action to be identified in order to control the tool wear and occurrence of vibration, thus to improve tool-life. Modeling of cutting force in milling is often needed in machining automation. The objective of this study is to predict the effects of cutting parameters on the(More)
Tabled sampling schemes such as MIL-STD-105D offer limited flexibility to quality control engineers in designing sampling plans to meet specific needs. We describe a closed form solution to determine the AQL indexed single sampling plan using an artificial neural network (ANN). To determine the sample size and the acceptance number, feed-forward neural(More)
Green production has become an important factor in recent years influencing the sustainability of the manufacturing sector. With increasing concern toward environmental protection, it has been found from the literature that the Green Supplier Selection is one of the approaches in solving environmental related issues. Supplier selection is a multi-criteria(More)