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Six Sigma Methodology Six Sigma has become so popular today that employees in all hierarchies are aware of its basic concepts however, it is not widely used by organizations. Although it has a number of applications, Six Sigma can be simply defined as the identification and improvement of various business processes by working on the key metrics involved in the processes through statistical analysis. It has evolved rapidly from its use in the manufacturing industry to become very flexible. It can be easily modified for application in various industries.
Another methodology based on a similar approach of quality improvement is that of BPM (Business Process Management). It is based on the principle that in order to attain process improvement, it is imperative to look at making the processes more efficient, rather than through inventions and application of new principles, thereby making them cost effective. A key construct of this principle is that this need not necessarily be achieved by automating processes; in fact, the involvement of manual work is necessary and adds value to the processes.
By combining the two methodologies, a strategic advantage can be created by a company applying them. While Six Sigma can be used to identify the various processes that require improvement, a BPM platform such as TeamWorks can be used as an interface between various enterprise softwares and the system that is used to monitor and control the activities involved. Apart from cost reductions and improvements in process efficiency, there are certain added benefits such as improvement in competitive advantage, customer satisfaction, etc.
Although inventions and modifications continue to take place in various processes and activities, it is important to improve and make processes more efficient to sustain long term advantages, irrespective of the industry being considered (Breyfogle, 2004). References Breyfogle,, F. W. 2004. Leveraging Business Process Management and Six Sigma in Process Improvement Initiatives. BP Trends. Smarter Solutions. Oct 2004. p1-10.
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