There are several crucial steps that need to be addressed to ensure that the data collection process and measurement systems are stable and reliable. Incorporating these steps into a data collection plan will improve the likelihood that the data and measurements can be used to support the ensuing analysis. What follows is a description of these steps. A checklist, populated with dummy responses, is also provided to illustrate the importance of building a well-defined data collection plan prior to execution.
It describes the exact steps as well as the sequence that needs to be followed in gathering the data for the given Six Sigma project. This document is important because the people that design the data gathering plan are not the same people that will actually be collecting the data.
Firstly the document ensures that every one on the six sigma project team is on the same page with regards to the data plan. Secondly it ensures that this information is correctly transmitted to the people in the organization that will actually provide for the data needs.
Here are the typical components of a data collection plan: The first Data collection plan that needs to be clarified before any effort is done is the purpose. The most common purposes include finding whether a process is stable? Whether a process is capable? Or whether a particular input will work better for a process than a previously used input?
In every case the purpose needs to be defined crystal clear. As we already know that while metrics are being specified, we should provide the exact operational definition and define the way calculations are going to be made to avoid confusion.
Failing to do so can make the numbers incomparable. Whether the data is continuous or discrete needs to be mentioned. The people executing the data plan will need this information. Also the sub-type of data like binary, ordered pairs etc need to be mentioned and explained to the people collecting the data.
In most modern day six sigma projects, the data to be collected is done by a machine. This is either done by a shop floor machine or a workflow software which is precisely recording the data for each step.
However there are people who are responsible to program the machine to collect the data and display it in a format which is acceptable to the Six Sigma Team.
Where may not refer to the physical location as much as it refers to the location within the process. The data collection plan must explicitly specify where in the process must data be collected from. Data for process improvement endeavours need to be collected over a period of time.
The data collection plan tells exactly at what frequency the data needs to be collected. This is a part of experiment design and must be adhered to by the data collection team without the slightest of changes.
The data collection plan also explains the format in which the collected data needs to be displayed to the Six Sigma team. Most probably a graphical method is used because it is intuitively easier to use. However this document ensures that the expertise is used throughout the process.A Data Collection Plan is a document that provides a focused plan for collecting data for a given project.
It helps specifying the objective of data collection, what data do we need, how are we going to collect it, and who is going to collect it. Simple data collection planning is a process to ensure that the data you collect for performance improvement are useful and reliable, without being unnecessarily costly and time-consuming to obtain.
Overview. Welcome to the e-learning lesson on Creating and Implementing a Data Collection Plan. Data collection is a crucial step in the process of . A Data Collection Plan is a well thought out approach to collecting both baseline data as well as data that can provide clues to root cause. The plan includes where to collect data, how to collect it, when to collect it and who will do the collecting.
A data collection plan is a detailed document which explains the steps as well as the sequence that needs to be followed in gathering the data for the given Six Sigma Project. Data collection is a crucial step in the process of measuring program outcomes.
By measuring outcomes, an organization can better recognize the effectiveness and value of its programs, and pinpoint where changes or improvements need to be made.