International Journal of Engineering Research

P. Rajeswara Reddy ¹, G. Krishnaiah ², V. Diwakar Reddy ³

Affiliations
1 Pennar Industries Ltd. Hyderabad A.P., IN
2 SVU & Annamacharya Engg College,Tirupati, IN
3 Department of Mech. Engg., Sri Venkateswara University College of Engg, Tirupati, IN

Abstract

In present competitive business environment, Lean manufacturing becomes a key strategy for global competition. Lean manufacturing is a combination of best techno social practices which consists of the social aspects (people and society) and technical aspects (machine and technology).Most of the lean practices are shop floor techniques that concentrate in eliminating non value added activity in the production floor. The purpose of lean manufacturing is to attain higher quality, productivity, Yield and less down times of machines. For successful implementation of LEAN manufacturing system in any organization-selection of facilitator and system of evaluating the degree of applied lean tools for selected process plays a vital role. To solve this type multi criteria decision making problems, a detailed study and investigation done using VIKOR method. By using the VIKOR method the decision makers can take the decision which is closer to the ideal solutions. In this paper linguistic fuzzy data is used to find the ratings and weights. A numerical example is proposed to demonstrate with an application of the proposed technique. Finally under fuzzy environment using this VIKOR method, with multi criterion decision makers and with their weightage best LEAN facilitator was selected to implement lean manufacturing system .At the same time to adopt appropriate lean tools and get desired results best fitted lean process line and machine was selected and identified.

Keywords

Lean Manufacturing, Facilitator Selection, Fuzzy, VIKOR.

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A. Hemantha Kumar ¹, G. Subba Rao ², T. Rajmohan ³, G. Krishnaiah ⁴

Affiliations
1 Mechanical Engineering Department, Annamacharya Institute of Technology & Sciences, Rajampet, IN
2 Geethanjali Institute of Science and Technology, Nellore, IN
3 Mechanical Engg. Dept., SCSVMV University, Kanchipuram, IN
4 Mechanical Engineering Department, AITS, Tirupati, IN

Abstract

The paper discussed about optimization of multicriteria problems that are used in turning operation. The theory of grey system is a new technique for performing prediction, relational analysis and decision making in multicriteria problems. Optimization of cutting parameters which are influencing on surface roughness, and MRR of AISI 1042 (EN 41B) work material using CVD coated tool is a multiobjective criteria. In the present investigation the influence of spindle speed, feed rate, and depth of cut were studied as process parameters. The experiments have been conducted using full factorial design in the design of experiments (DOE) on a conventional lathe (PSGA141). A Model has been developed using regression technique and the optimal cutting parameters for minimum surface roughness, and maximum MRR were obtained using Taguchi technique. The use of grey relation analysis for optimizing the cutting parameters for good surface finish and more material removal rate is introduced. Optimal machining parameters were determined by the grey relation grade obtained from the Grey relation analysis. Experimental results show that the Surface roughness and MRR in turning operation is improved effectively through the new approach.

Keywords

AISI No1042 Alloy Steel, CVD Tool, DOE, Taguchi Technique, Grey Relation Analysis.

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