In any manufacturing process, organizations need to collect data that truly represents how good their products are — and where opportunities for improvement exist. Learn more about Enact
An operation is defined by a place where transformation is taking place, so we’re transforming if we take the example of a cake we’re transforming eggs, water, sugar, flour into a cake and what happens and that operation is there’s heat applied and there’s time applied. And then those features determine how good that cake is and we’ll measure things like moisture content, how much rise was there in the sponge - we can do the weight of the cake and so there’s numbers. Numbers of features that could be a measure of how well the transformation occurred in any manufacturing up operation or process we want to collect data that represents how good are our products and so at each one of these operation or transformation points is the earliest place where this data collection can take place and we tie that data to the product going through there. The process that created the transformation and those features that are important and then their spec limits are tied to that and we can compare the data against. And so from a six sigma perspective, and from quality improvement perspective even just from a compliance perspective. That is the proof of the transformation or where problems may have occurred that then the next system will highlight. It says go look here because this transformation didn’t take place as expected and we need to pay attention to that.