Six Sigma aims at achieving innovative improvement by reducing variation and defects; the most popularly used approach being the DMAIC model. DMAIC stands for Define – Measure – Analyze – Improve – Control.
Although all the five stages of the DMAIC model are important, and neither one can be performed without the other, today we will speak about the Measure phase, which is the lengthiest phase of the model.
The Measure phase includes data collection, wherein different types of data are collected and then forwarded for analysis and identification of possible root causes. Therefore, the understanding of various data types in very important. There are basically two types of data you must know about – discrete and continuous.
Discrete data is that which cannot be further broken down, and has a finite number of measurements that are based on counts. This type of data can be divided into three basic types.
Continuous data is that which can be broken down further. This includes time, temperature, weight, height, money, etc. For example,
Let us now compare both these data types. Discrete data is less precise, less informative, less time-consuming, and cannot remove estimations. Continuous data, on the other hand, is more precise, more informative, more time-consuming, and can remove estimations and rounding of measurements.
As we know that data collection is an important aspect of the Measure phase of the DMAIC model, the question is that how is this data collected. A data collection plan (DCP) is implemented to capture in a single place different data points required for the project. In this way, all the members involved in the project are brought together on the same page. A DCP involves the following –
Six Sigma carries many more important aspects and tools. For complete knowledge about the Six Sigma principles, functioning, and benefits, you need to opt for training that can help you achieve a professional Six Sigma certification in India from experts like TQMI.