SIMPLIFYING SIX SIGMA METHODOLOGY USING SHAININ D.O.E

Abstract

Increased competition in the manufacturing sector for improving the product quality has changed the concept of
quality. The quality is related with producing the product right in first attempt. The focus of industries is now shifting from just
customer satisfaction to customer delight. To achieve such quality, it is necessary to reduce the variation in the product
performance and process specifications. To achieve the tight variability and high process capability, industries are adopting
various quality management techniques such as FMEA, BPR, Six Sigma, Design of Experiments etc. Six Sigma is one of the
most popular quality management techniques among the all, whose focus is on improving the performance excellence by reducing
the process variation. The implementation of six sigma in industries needs rigorous application of various quality tools and great
knowledge of statistical tools. Very few studies focus on the successful implementation of six sigma in the small and medium
enterprises. The most important reason behind the failure of six sigma is its complex methodology and poor organizational
culture. This paper attempts to simplify the methodology used in six sigma using some other tools as used in the much simpler
and powerful but less popular Shainin approach to design of experiments. The various simple and powerful tools used in Shainin
methodology are Isoplot, Multi-Vari Analysis, Component search, B versus C etc. These tools, when applied along with six sigma
methodology, can help in achieving the great success to the organization.
Index Terms— Six sigma, Design of Experiments, Shainin Approach, Isoplot, Multi-Vari Analysis, B versus C.