Executive Pay: The Curious Case of Carlos Ghosn’s Arrest
February 12, 2025
American car companies are pursuing a very unique strategy to increase growth and profitability. Generally, when companies talk about increasing growth and profitability, they talk about exploring new markets and launching newer products. However, the American automotive industry is planning to do the exact opposite. Executives from Ford Motor Company have announced that within a […]
Tracking direct labor and materials that have been used in a job can be done with a fair degree of precision. That is not the real problem when it comes to costing. The real problem is with allocation of overheads. Usually, they have very little correlation to any specific activity. They are the result of […]
Demand Planning: The objective of this function is to create a demand plan, based on historical sales data. The demand plan resulting from this function is the starting point for Supply Planning. The demand plan contains forecasted demand for an item, using standard forecasting methods. If the past data is inappropriate or insufficient, the forecast […]
The other day I over-heard a conversation generally referred as cooler moment. John was in conversation with Terry around lunch time. John said he was hungry but had to take a quick meal as he was expecting to run a business call. Terry gave alternative of burger as quick and easy meal, to which John […]
Introduction A successful organization is built on satisfied and trained employees. They are the company’s greatest assets. Employee development is defined as formal education, on-the-job training, previous job experience, personality mapping, and improvement in the current skill sets as to prepare the employee for future. A trained and developed staff will contribute to productivity increase, […]
Once the Scatter plot has been used to find out the correlation between the inputs being measured as well as the desired outputs, it is now time to come up with an equation which shows the precise relationship. This is called Regression. Regression is a technique which summarizes the relationships observed in the Scatter plot in the form of an equation.
In most Six Sigma projects, today the process of coming up with the regression equation is computerised. Hence the personnel need not understand the details that are involved within it. However they need to be well versed with the various types of regression equations. They are as follows:
A typical linear regression equation would look like:
Y = 1.5 + 2x
The Six Sigma team can now answer questions about the effect that the input variable has on the output. They can then decide as top whether the effect is significant when compared to the other variables. They can also decide the correct level of input (x) that needs to be maintained if an output (y) needs to be achieved.
For example:
Service Time = 3 minutes + 2.3 times × Handle time
Let’s say we want the service time to be 7 minutes as per the results we have got from the Voice of Customer. Therefore the handle time should be :
7 - 3 minutes = 2.3 × Handle time
4 minutes = 2.3 × Handle time
4/2.3 = Handle time
Therefore handle time must be 1.74 minutes if the process needs to meet the expectations of the customers.
This is how the regression equation can help us understand whether a factor is significant. It also helps us work the level of inputs required to get the desired output.
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