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imagine you've been tasked with a really important project at work the company you're working for produces luxury cars the production numbers are going down and a lesser number of cars are getting manufactured each day there also seems to be an issue with the quality of the windshield wipers that go on these cars the question you are faced with is there a way for the company to stop the stall and production and increase the production per day from 1,000 to 2,000 also is there a way to find out what's causing the drop in the wiper quality there is Six Sigma Six Sigma gives you the tools and techniques to determine what's making the manufacturing process slow down how you can eliminate the delays improve the process and fix further issues along the way the concept was introduced in 1988 by Bill Smith while working for Motorola since then Six Sigma has seen worldwide adoption Six Sigma aims to reduce the time defects and variability experienced by processes in an organization thanks to Six Sigma you can produce a defect free product 99.999 six percent of the time allowing only 3.4 errors per 1 million opportunities Six Sigma also increases customer loyalty towards the brand improves employee morale leading to higher productivity Six Sigma has two major methodologists DMAIC and diem ADB let's look at the first methodology DMAIC is an acronym for define measure analyze improve and control let's have a look at each of these stages individually and how it relates to your earlier problem in the define phase you determine what issues you're facing what your opportunities for improvement are and what the customer requires of you here you look at the process as a whole and determine the issues with the manufacturing process in this case finding out why the cars had varying windshield wiper quality and how to optimize the current process to manufacture more cars in the measure phase you determine how the process is performing currently in its unaltered State you determine the current number of cars that are manufactured in a day in the current scenario 1,000 cars are manufactured in a day and each of these cars are outfitted with a pair of windshield wipers by one of 30 machines used some of the metrics measured or how many cars are produced in a day time taken to assemble a car how many windshield wipers were attached in a day time that takes them to do so defects detected from each machine on assembly completion and so on following this in the analyze phase you determine what caused the defect or variation on analyzing previous data you find out that one of the machines that installed the windshield wiper was not performing as well as it was supposed to production was taking longer since the car chassis was being moved across the different locations slower as cranes had to individually pick and drop the frame this was because...