Six Sigma Black Belt Study Guides

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1 Six Sigma Black Belt Study Guides 1 Powered by POeT Solvers Limited.

2 Measure Relational Matrix/Prioritization Matrix 2 Powered by POeT Solvers Limited.

3 Introduction The prioritization matrix or relational matrix is used to place a diverse list of items being considered according to the order of importance. It sorts a set of items in an order of importance. In relational matrix, asking what, why, and how is really useful. Here what stands for the performance requirements. A weight element is given to every what factor to indicate the factor s degree of importance. Why stands for the challenges that the company encounters. Relational matrix connects what and how, once how the performance requirements are met is determined. Relational matrix is a tool used to measure which of the input variables has the greatest effect on output. When to use prioritization or relational matrix To prioritize intricate or ambiguous problems To choose items to be implemented from the long list of items To get group consensus on priorities and major issues 3 Powered by POeT Solvers Limited.

4 How to do it Place major process output variables horizontally. Place major process input variables vertically. Give a priority number for every output variable. Provide a number for the effect each input variable has on the output. Combine the process output priority and effect value by multiplication. Determine the sum of the above step. Determining which input variables have the greatest effect on output variables helps to prioritize the major process input variables. 4 Powered by POeT Solvers Limited.

5 1-5 rating scale Relational matrix uses 1-5 rating scale to assess the effect of each input on its output. 5 Strongly Agree 4 Agree 3 Neutral 2 Disagree 1 Strongly Disagree 5 Powered by POeT Solvers Limited.

6 Equation: Y = f(x) Relational matrix employs the Y = f(x) equation, which means Y is a function of the variable X. Here Y stands for the output of the process, X for the input of the process, and f for the relation between the variable X and Y. According to Brassard, there are three methods for designing prioritization matrices. They are the fully analytical criteria method, the combination interrelationship digraph/matrix method, and the consensus criteria method. 6 Powered by POeT Solvers Limited.

7 Weight and symbols for the relational matrix The table given below shows weight and symbols for the relational matrix. Relation Symbol Weight Strong 9 Medium 3 Weak Powered by POeT Solvers Limited.

8 Michael Brassard, in his book The Memory Jogger (1994), suggested that the prioritization matrix aids in identifying serious disagreements to settle them at the earliest stage and to emphasize the most excellent things to do instead of doing all the things. Two examples of the application of prioritization matrices The cause-and-effect matrix: It is a method to quantify team agreement on relationships between major input and output variables. Quality Function Deployment: QFD can be used to map the voice of the customer and to provide competitive evaluation. It shows the relationship between various hows of the processes (how to accomplish). The relation may be positive, neutral, or negative. E.g., in an effort to design a faster car, the weight of the car and the mileage provided are negatively related. QFD analysis includes inputs from all groups inside the organization and forms the basis for determining the requirements of the project. QFD is usually carried out by a crossfunctional group of individuals who are tasked with developing a new product or refining an existing one. The result of a QFD analysis is called house of quality. It is a set of matrices which provides direction to the company about which features or attributes should be implemented in the product. 8 Powered by POeT Solvers Limited.

9 House of quality House of quality, which shows the relationship between customer wants and the product features (engineering attributes), is a component of the quality function deployment (QFD). It employs a planning matrix to depict the weighted importance of each requirement that the company is going to meet. According to Hauser and Clausing, it is based on the view that the products should mirror customers wants (1988). The steps in developing the house of quality include customer requirements, technical requirements, planning matrix, interrelationship matrix, technical correlation matrix, technical priorities/benchmarks, and targets section. 9 Powered by POeT Solvers Limited.

10 Conclusion Introduction When to use prioritization or relational matrix How to do it 1-5 rating scale Two examples of the application of prioritization matrices Equation : Y=f(X) Weight and symbols for the relational matrix House of quality 10 Powered by POeT Solvers Limited.