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and flow time of a production system in a steady state. This relationship states that the inventory equals the throughput multiplied by the flow time. This principle is often used within the Lean Six Sigma Methodology.

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This law is simple and basic, as it easily relates three critical performance measures to any production system. This makes it a principle that's very basic to manufacturing. The bonus with Little's Law is that although it does involve mathematical reasoning, the methods by which you're required to figure out a solution are very intuitive. These are all reasons why it is a tool that is often used within the Lean Six Sigma system.

While Little's Law is superficially a simple conversion of units, it represents something much deeper. This law applies to a number of situations; production lines, factories, single stations, and complete supply chains. While one most closely associates this law with work done in manufacturing, it can also apply to systems where inventory is considered financial orders or even people. Fundamentally, there are few essential requirements needed for Little's Law; the inventory, throughput, and flow time must be measured in consistent units and represent long-term averages of a stable system.

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While there is some validity in this "replace it" philosophy, Six Sigma training can help teach employees in the IT Department ways to approach this philosophy more frugally. Rather than making what can be considered unnecessary purchases, employees will learn to make due with the resources they have available. Overhead is greatly reduced with this shift in thinking. With savings like this, IT Departments can more easily afford those big projects that might be necessary in upcoming years.

Aside from the financial savings, Six Sigma training can also help an IT Department with job management skills. This department is never without a huge workload, and each day brings with it new requests coupled with older ones that have yet to be completed. Job prioritization is essential with IT projects.

One of the first steps in choosing the right hypothesis test, and for the Lean Six Sigma Methodology in general, is ensuring whether or not the data is normal. Those new to hypothesis testing tend to assume data normality, as that simply makes data analysis easier. However, there's danger in these assumptions as certain projects may involve atypical data (like process cycle-time reduction). Normal data has normal variation and generally takes the shape of a bell curve. This curve represents the data's central tendencies. The properties of this type are such that those working with it may use a probability plot for actual verification that it is distributed in a normal way. This tool is based on statistical testing.

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Data produced by this probability plot, if the results are considered normal, will follow a straight line. This indicates that as the value increases, so does the percentage of total data that falls within that particular range. If anywhere between 80-90 percent falls between these lines, it is considered normal. The probability plot serves as the first step in deciding which hypothesis testing is indicated.

The goal for DFSS in these situations is to bring about new services and products with an optimized sigma level for every customer requirement. A company can then offer reliability and reduce the defect level before something is even on the market. The whole deal represents a continued intrest in quality products that customers need and want.

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One of the ways in which DFSS is best accomplished is using IDOV, a methodology used for designing services and products to meet these stringent Six Sigma standards. IDOV is an acronym for Identify, Design, Optimize, and Verify. These are the four phases of the process, which parallel the four phases of the traditional Six Sigma methodology known as DMAIC (Define, Measure, Analyze, Improve and Control).

IDOV and DMAIC share a lot of similarities, which begin with the 'Identify'. During this initial phase, team members begin making the connection between the design and the Voice of the Customer. The team should form a charter and gather VOC while also developing critical metrics.

project manager tries to do the measurement phase in secret, and succeeds to hide his observation, workers will go about their business as usual. They may work quickly, and they may work slowly, but in any case, they will not have any special reason or feeling that they should do a better job.

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However, if the Six Sigma project manager is open in his or her measurements, the workers will have a different attitude towards their task. This is not necessarily a thought-out process. The fact that you are being observed changes the way you behave. At least, it usually changes it.

The Six Sigma project manager may have to deal with two other groups before he or she can enjoy the success of the positive-responding group. The first is made up of those people who fear change. They are worried that the observations will lead to more work, stricter rules, or even layoffs if the work seems too easy or there is not enough of it. Therefore, they intentionally hold back and do less than their best.

These people need to be managed in another way to show them that they are part of a team that will treat them fairly. Teambuilding and incentives can go a long way in helping them overcome their fear that working hard will cause undesirable results.

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Employment is an agreement between an employee and his or her employer. In the search for competent workers whose qualifications meet the requirements sought for, employers tend to reject certain individuals or create a bias due to ethnicity, sex, age, or many other reasons.
Bias of qualified and competent persons is called discrimination in a work environment and this bias has led governments to make laws protecting persons subject to bias and create and monitor methods used in employment.

Bias or employment discrimination is not only limited to the hiring process. An individual can be discriminated against for many other reasons such as:
• When Promotion is Denied When Due
• Lack of Fair Assignments Given
• Early Termination of Contract
• Lack of Fair Compensation
• Harassment at Work