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Kumaravadivel, A.
- The Performance Measurement of Six Sigma Manufacturing System through Overall Equipment Effectiveness
Authors
1 Mechanical Engineering Department, M.I.E.T Engineering College, Trichy, Tamilnadu, IN
2 Department of Mechanical Engineering, Sudharsan Engineering College, Pudukkottai-622001, Tamilnadu, IN
Source
Software Engineering, Vol 4, No 7 (2012), Pagination: 277-282Abstract
The main objective of this study is to measure the performance after the implementation of six sigma. Customers demand product quality, and insist on product delivery time and cost of product. Hence a company has to introduce a quality system to improve and increase both quality and productivity continuously. A study is carried out in a casting based manufacturing plant which currently implements the six sigma concept for achieving higher customer satisfaction. The aim of the paper is to measure the Overall Equipment Effectiveness (OEE) of the existing process and investigations are undertaken. The tangible and intangible Performance Indicators (PIs) are introduced in order to identify the effectiveness and efficiency of the system. Moreover, the critical success factors for achieving Total Productive Maintenance (TPM) are also included based on the practical results gained from the study. The effectiveness of the approach is subsequently evaluated and the benefits the host organization received through this new approach by measuring OEE in the six sigma environment are analyzed.Keywords
Performance Indicators, OEE, TPM, Six Sigma, DMAIC, Plant Productivity, Rejection Rate.
- Optimization of Base Stock Level Inventory System and Performance Indicators to Improve Customer Satisfaction in the Six Sigma Environment
Authors
1 Mechanical Engineering Department, M.I.E.T Engineering College, Trichy, Tamilnadu, IN
2 Mechanical Engineering Department, JJ Polytechnic College, Trichy, Tamilnadu, IN
Source
Software Engineering, Vol 4, No 7 (2012), Pagination: 287-293Abstract
The main objective of this study was to measure the performances after implementation of innovative inventory management system in a stochastic environment and it was carried out in a casting company which currently implementing the six sigma concept towards achieving the product quality, on time delivery and customer satisfaction at the least cost. The main objectives of this proposed approach is to maintain the stock more economically and at the same time, it should be able to meet the demand. Sometimes, the demand may be more and the stock may not be able to meet demand, then the company will lose the profit and also the good will. In solving most of the real life problems, techniques of Applied Mathematics play a vital role. If the solution does not offer the sufficient amount of accuracy, then it is reformulated and solved. This iterative process is repeated until the exact solution is found.
Maintaining optimal inventory and forecasting future demand are not easy for the decision maker of any enterprise. However, it is possible to strike a balance between the ideal zero inventory and the real-world avoidance of stock out costs through a minimum inventory system called Base Stock System. The study has examined the Performance Indicators (PIs) in order to assess the effectiveness and efficiency of the implementation of the six sigma system. This paper proposes a generalized approach for determining the Optimal Base Stock Level to forecast stochastic demand and improve the on time delivery and in turn, improve the efficiency of the process.