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  • You have reached the Metrics and Measurement Systems Dictionary within an evolving Business Excellence dictionary. In this dictionary, you will find not only the meaning of a term but also a discussion on practical application of the term. You can see the entire Dictionary here. Business Excellence dictionary is growing with addition of two new terms every week. To take part in making of the dictionary, you may try to reply to the latest question mentioned here

     

    This page contains links to various discussion topics that relate to Metrics and Measurement Systems.  This page was last updated on 11th November 2019. Please click on the links below to see the definition, and best reply to the application question. 

    • Activity based accounting - Discussion - Activity-based costing (ABC) is a way of accounting which identifies and assigns costs to overhead activities. These costs are in turn assigned to products.
    • Attribute Agreement Analysis - Discussion - Repeatability is considered a pre-requisite for Accuracy assessment when we deal with Attribute Agreement Analysis but it is not so when we work with Gage R&R for variable (continuous) data. Why is it so? 
    • Attribute Data/ Discrete data - Discussion - While continuous data is measured and attribute data is counted, there is sometimes confusion if some specific dataset should be considered continuous or attribute.
    • Balanced Scorecard 1 - Discussion - There are four sections in a Balanced Scorecard - Customer, Internal Business Processes, Financial, Learning and Growth. These sections contain both lagging and leading indicators. Explain the differences between lagging and leading indicators providing relevant metrics for both under each of the four sections. 
    • Balanced Scorecard 2 - Discussion - What are the caution points while setting up the Balanced Scorecard for an organisation?
    • CTQ - Discussion - Dashboard, Numbers, Metrics, CTQs, are commonly used terms in the domain of Business Excellence. What is your view on this? Is measurement essential for good management? Why? Why Not?
    • Gage R&R 1 - Discussion - Repeatability is considered a pre-requisite for Accuracy assessment when we deal with Attribute Agreement Analysis but it is not so when we work with Gage R&R for variable (continuous) data. Why is it so? 
    • Gage R&R 2 - Discussion - While analyzing the XBar R Chart in Gage R&R Output, a sound measurement system will have more than 50% of the data points falling outside of the control limits. It is intuitively the reverse of what we want to see (data points to be inside the control limits for a well controlled process). Explain this seeming aberration.
    • Kappa Value - Discussion - Kappa value is used to make inference about soundness of a Measurement System when Attribute Data is used. Kendall's coefficient is used to infer the soundness of Measurement System when ordinal Attribute Data is used. If one used Kappa value to make inferences for an Ordinal Attribute Data set, what errors are likely to happen?
    • Kendall's coefficient - Discussion - Kappa value is used to make inference about soundness of a Measurement System when Attribute Data is used. Kendall's coefficient is used to infer the soundness of Measurement System when ordinal Attribute Data is used. If one used Kappa value to make inferences for an Ordinal Attribute Data set, what errors are likely to happen?
    • Law of Large numbers - Discussion - What is the difference between Central Limit Theorem and Law of Large Numbers? If central limit theorem can help us achieve a normal distribution, why should we not always make use of it and get rid of Non-Normal data? 
    • Lead time - Discussion - What is the differences between Lead Time and CycleTime? What is the reason for confusion in the two definitions?
    • Tollgate Effectiveness - Discussion - The quality of questions and interactions in Toll Gate reviews is crucial for success of any gated process (not just Lean Six Sigma projects). It is seen that poorly planed or administered Toll Gate reviews are one of the biggest reasons for project failure in the Lean Six Sigma world. How should one plan toll gate reviews to ensure their effectiveness? 
    • MSA - Discussion - Repeatability is considered a pre-requisite for Accuracy assessment when we deal with Attribute Agreement Analysis but it is not so when we work with Gage R&R for variable (continuous) data. Why is it so? 
    • Net present value  - Discussion -  Explain the usage of Net Present Value in decision making by providing relevant examples.
    • Point of Use inventory - Discussion - Explain the term Point of Use Inventory as used in Lean Management. How does POUS help reduce classic Lean waste/s. 
    • Productivity- Discussion - Do you think it is possible to manage “Creativity” in such a “Productivity-obsessed” corporate environment?
    • Rolled Throughput Yield- Discussion - Can a process with 100 percent Rolled Throughput Yield be considered inefficient?
    • Scope creep- Discussion - Define the term "Scope Creep" . How can you identify scope creep and how can you prevent it? What are the ways to deal with scope creep caused by different parties involved - team members, users, stakeholders etc?
    • Secondary Metric 1- Discussion - Give some good examples, preferably from different Industries, where a Lean Six Sigma project was considered successful w.r.t Primary Metric (CTQ) but was later understood to be a big failure due to adverse impact on Secondary Metric. 
    • Secondary Metric 2 - Discussion - Define the term secondary metric. Give examples. Are there times when we do not need to have a secondary metric? Is it possible that we may have multiple secondary metrics in a project?
    • Takt time 1- Discussion - While takt time is the same as demand rate in simplistic terms, it is considered extremely important as a concept in Lean implementation. What kind of decisions does the Takt Time drive? Are these decisions strategic or tactical by nature?
    • Takt Time 2- Discussion - Explain the meaning of Takt time.
    • Time series- Discussion - Time Series Analysis relies on historic data. When is it of very high relevance? And when should we not rely on Time Series Analysis for forecasting? 
    • Trends- Discussion - Explain the four terms with respect to Run Charts - Mixtures, Clusters, Oscillations and Trends. Does a run chart provide any advantage as compared to a control chart?
    • Web analytics- Discussion - Explain the usage of web analytics in business growth and in capturing Voice of Customer. Which industries can use web analytics better than others for these objectives?
    • Y- Discussion -  Y=f(X) forms a very important part of a Six Sigma or DMAIC project. What are the various tools that can be used to list all possible Xs for an output Y.
    • Y=Fx.- Discussion -  Y = F(X) indicates that we need to improve inputs and improve the process to get better outputs than what we got earlier. Is it possible to let one of the two remain at a below industry average level (inputs or process) and focus heavily on the other one to generate excellent results?
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