Characteristics of Data – Central Tendency and Dispersion
February 12, 2025
The state of the American economy is deteriorating at a rapid pace. This is large because of the indiscriminate spending being undertaken by the American government. In order to understand the true scale of this spending, let’s have a look at some numbers. In 1987, the entire budget controlled by the United States government amounted […]
The automobile industry all over the world is facing an unexpected challenge. Diesel vehicles which were the star performers in many countries across the world are now rapidly losing market share. Diesel vehicles are being shun by regulators and consumers alike. This has caused problems for many automobile companies around the world. For instance, Jaguar […]
The costing module is one of the important controlling modules which enables effective internal cost control and accounting. All functionalities regarding cost analysis and cost allocations are provided by this module. The cost accounting module is highly integrated with budget and general ledger modules as well as draws input and provides output to various logistics […]
The Importance of ERP Software In previous articles on Finance and Human Resource Management, we discussed how the finance and HRM functions have evolved to become important support functions in organizations and not just appendages to the core processes of the organization. For instance, in earlier decades when manufacturing was predominant, finance and HRM were […]
Supply chain operations and network extend beyond domestic boundaries and global boundaries of all countries. A logistical exercise originates at the buyers end and involves multiple agencies including buyer, seller, 3PL freight forwarder, transporters at various juncture, shipping lines, airlines, various governmental agencies, customs departments at various locations and financial institutions like banks to complete […]
The mention of the Measure phase of the Six Sigma module brings into mind pictures of statisticians performing complex operations on data to derive meaning out of it. While this is true to some extent, the complexity of the process is highly over-rated. True, that there is a tremendous amount of statistics involved. However, in recent times, the statistics part is being taken care of by the software. Humans need to understand the logical part of the process and provide input to the software and interpret its outputs. The major objectives of the Six Sigma module are mentioned below:
The Six Sigma project team needs to come out with an explicit list of vital inputs, desired outputs and process metrics that they are planning to track. The fact that there are probably hundreds of metrics makes it important to identify and list the vital few. This decision has large scale implications on the performance of the project and is usually taken by the Project Lead on the basis of data provided by the Six Sigma team and the Process Owner.
There have been many cases of measurement bias in Six Sigma history. The bias may have its roots in the complexity of the calculation, the wrong method of data collection or the bias of the person performing the exercise. However, methods have been developed to get rid of all these errors. Measurements are taken automatically, calculated automatically and sent to the concerned managers automatically who use pre-defined rules to make a decision.
One of the biggest challenges of this phase is to validate the fact that the measurement system in place is good for the purpose. We have discussed this challenge in detail in the section titled Management Systems Analysis.
Measure phase also includes collecting the measures that the current process has. This includes measuring the defects per million. Once the defects per million are calculated, the current Sigma Level of the process is found out. This gives the team an idea of the effort that may be required out of them.
A common practise in the measure phase is to put a figure in front of the losses that the organization is currently facing due to inefficient processes. This helps the management valuate the process and the Six Sigma team can bargain for more resources to successfully implement the project. The financial numbers help re-iterate the project value in front of the Project Champion and the Senior Management.
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