Four-property comprehensive protection integrated design process decomposition method based on improved quality house
A quality house and process technology, applied in computing, instrumentation, complex mathematical operations, etc., to solve problems such as establishing effective relationships without the product design process
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example 1
[0060] Example 1: Analysis as an example with a transmission system design. Using the product planning quality house and parts planning quality house for routine quality function, customer demand is the domain u = {Reaction time short (U 1 ), Compact structure (U 2 ), High reliability (U 3 ), Easy to repair (U 4 ), Short development cycle (U 5 . Engineering technical parameters T = {circuit function (T 1 ), Cabinet structure (T 2 ), Circuit board structure (T 3 ), Heat dissipation (T 4 ), Reliability indicator (T 5 ), Maintenance indicators (T 6 . Parts Design Characteristic Database V = {Circuit Structure and Parameters (V 1 ), Box shape (V 2 ), Circuit board size (V 3 ), Assembly interference analysis (V 4 Apply preferred device (V 5 ), Thermal analysis (V 6 ), Reliability (V 7 ), Repairability (V 8 ), MTTR (V 9 .
[0061] Step 2: Expand the design activity by improving quality function
[0062] around figure 2 The process planned quality house shown and the process planning qua...
example 2
[0063] Example 2: In XI 1, 15 design activities are obtained based on the improved quality house, as shown in the following table:
[0064] Table 1 list of system design activities
[0065]
[0066] Step 3: Solving key design activities through routine quality housing and improving quality house
[0067] Relationship matrix by routine quality housing and process planning quality houses to solve key activities. Defining the importance of various customer needs in the routine quality function of customer demand to engineering technical parameters, define the importance of various customer needs (K 1 K 2 K 3 ... K m ), The value range is [0, 10]. After the routine quality function is expanded, the relationship matrix of customer demand and engineering technical parameters is A ij (i = 1, 2, ... m, j = 1, 2, ... n), where A ij Level rating is performed by {0, 1, 3, 5, 7, 9}, in turn, indicating that it is not relevant, weakly related, weak correlation, general correlation, strong co...
example 3
[0070] Example 3: Examples 1 and Example 2, the importance of defining various customer needs is (5, 4, 5, 4, 3), and the value range is [0, 10]. Relationship matrix of customer demand and engineering technical parameters A Figure 5 The shown, where A ij Level rating is performed by {0, 1, 3, 5, 7, 9}, in turn, indicating that it is not relevant, weakly related, weak correlation, general correlation, strong correlation, and strength. Pass (k 1 K 2 ... K m ) A ij Evaluate the importance of engineering technical parameters, engine technical parameters T 1 The importance calculation process is as follows, which is the importance of obtaining overall engineering technical parameters (95, 79, 79, 52, 70, 49).
[0071] E 1 = K 1 * a 11 + K 2 * a 12 + K 3 * a 13 + K 4 * a 14 + K 5 * a 15
[0072] = 5 * 9 + 4 * 5 + 5 * 3 + 4 * 3 + 3 * 1 = 95
[0073] The relationship matrix B in engineering technical parameters and components design characteristics Image 6 The show, where B ij Level rati...
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