Product Design Var
Product Design Variables Optimization using Design for Six Sigma (DFSS) Approach
Mirza Jahanzaib1, Syed Athar Masood2, Umer Jamil1, Khalid Akhtar1
1Industrial Engineering Department, University of Engineering & Technology, Taxila, Pakistan
2Department of Engineering Management, E&ME College, National University of Science & Technology, Islamabad
Abstract: To achieve customer satisfaction and product excellence many quality programs such as quality circles, Kaizen, TQM, Design for Six Sigma have been developed & practiced. Most of quality techniques are focused on production and shop floor related activities. It is now realized that improving a product in design phase is much easier and controllable than attempting to make improvements after it is in production phase. This paper explores the opportunities of optimizing Design for Six Sigma (DFSS) approach in product development particularly to product design at early stage of the design process. A mechanical product (bolted joint) has been selected to carryout analysis and seeking optimum design values. Once the controllable variables are established, then the process of optimum seeking is carried out using Monte Carlo Simulation. It is found that there is no need to tighten the tolerances of inputs as conventional method practiced is worst case which resulted in tighter tolerances causing additional costs with no value addition to the product. The key input means and standard deviations have been optimized to obtain critical to quality (CTQ) characteristic mean, close to target values and its variation within acceptable limits. The decision variables with optimization runs resulted optimize decision variables that improve the proposed design CP & CPK.
[Mirza Jahanzaib, Syed Athar Masood, Omer Jamil, Khalid Akhtar. Product Design Variables Optimization using Design for Six Sigma (DFSS) Approach. Life Sci J 2013;10(1):57-63] (ISSN:1097-8135).http://www.lifesciencesite.com. 9
Keywords: Critical to Quality; Design for Six Sigma; Improved Design Process; Optimum seeking in design
