Causes of Measurement Variation
February 12, 2025
IN addition to functions covered by technical modules such as user’s management, License management, installation (as discussed in earlier papers), ERP technical module provides several other important functionalities. Some of these functionalities, as given below, will be very briefly discussed in this paper: Audit management Device management Text management Job management Audit management: Large organizations […]
Polar opposite to the concept of Business Process Re-Engineering is the concept of continuous improvement. It was developed by the Japanese after World War-2. Whilst BPR relies on radical change, lean management relies on small incremental change. It stems from Japanese term called “Kaizen” which means small improvement. The concept relies on successive small improvements […]
In the last decade or so, the threats to the working environment of companies have multiplied ranging from 9-11 type attacks, earthquakes and the spread of diseases like SARS. Further, there is the very real threat of natural and manmade disasters like these disrupting the working patterns of organizations. Hence, there is a need to […]
International trade is regulated through tariffs and trade laws established by the Country’s Federal Governments to control the imports and exports of the country. The Government invests executive powers to the Customs Departments, headed by Custom’s Commissioners to administer the policies and tariffs on all imports and exports into and out of the country. Customs […]
It is of utmost importance for any business enterprise to maintain their existing customers. A proper after sales service through quick response prompt delivery is needed for enhancing customer satisfaction. Service need may encompass scheduled as well as unscheduled maintenance, warranty management, defect identification etc. Salient feature of a service related module: Proper and Systematic […]
Converting Data to Information: The goal of a six sigma project is not to produce an overwhelming amount of data that ends up intimidating the concerned people. The goal is to find out as much data as possible and convert it into meaningful information that can be used by the concerned personnel to make meaningful decisions about the process. However for that one needs to learn how to statistically deal with huge amounts of data.
Data primarily needs to be understood for its two characteristics viz central tendency and dispersion. Data tends to be centred around a point known as average. The degree to which it is spread out from that point is also important because it has an important bearing on the probability. It is for this reason that we use the following characteristics to make sense of the data involved:
Measures of Central Tendency: Different types of data need different measures of central tendency. Some of the important measures, commonly used are as follows:
Measures of Dispersion: The degree of spread determines the probability and the level of confidence that one can have on the results obtained from the measures of central tendency. Common measures of dispersion are as follows:
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