Intellectual Property Rights and their Protection and Defense by Businesses
The Debate over IPR In recent years, intellectual property rights (IPR) have become the topic of intense discussion and concerted efforts by businesses to defend them. The reason for this renewed interest and vigorous protection and defense of IPR is that the theft and piracy of items like software, books, games, and movies has reached […]
Effect of the Global Financial Crisis on the BPO Sector
Like other sectors in the corporate world, the BPO sector has been affected by the ongoing global economic crisis. For instance, there has been a twin movement that has manifested itself in the way the BPO sector has been impacted. On one hand, many companies in the West (US and Europe) have trimmed their budgets […]
Can Credit Card Interest Rates be Capped?
The American politics is heating up in anticipation of the 2020 Presidential Election. Democrats are unveiling what appears to be a populist socialistic agenda. Amongst the Democrats, Bernie Sanders, in particular, is hell-bent on enacting policies which can be considered to be socialist. Bernie Sanders has found an ally in Alexandria Ocasio-Cortez as she too […]
The Impact of AMLO Win on the Mexican Economy
Andres Manuel Lopez Obrador, popularly known as AMLO, is no stranger to Mexican politics. He has already run for the office of President twice in the past. Both times, he has failed to secure the top job in Mexico. However, in 2018, it was AMLO’s chance to create history. He has become the first left-leaning […]
Understanding the Confidence Interval
The confidence interval is a central concept of hypothesis testing. Although understanding its mathematical and statistical meaning is beyond the scope of this module, one needs to have a fair idea of the concept. Hence, a brief introduction of the confidence interval that is essential for the Six Sigma project team to understand is as […]
A data collection plan is a detailed document. 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:
Purpose: The first thing 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.
What?: “What” signifies the metrics, the measurements for which need to be recorded. 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.
Type of Data: 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.
Who: 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. The “who” therefore refers to liaising with the person in charge of the software to ensure the data is available and in the correct format.
Where: 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.
Frequency: 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.
How to Display: 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.
There may be only statistical expert in the Six Sigma Team who actually prepares the Six Sigma Plan. However this document ensures that the expertise is used throughout the process.
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