FACTOR ANALYSIS SYSTEM AND ANALYSIS METHOD THEREOF

• US 20120029957A1
• Filed: 10/19/2010
• Published: 02/02/2012
• Est. Priority Date: 08/02/2010
• Status: Active Grant

• Current Assignee: National Tsing Hua University
• Original Assignee: National Tsing Hua University
• Inventors: CHIEN, CHEN-FU, HU, CHIH-HAN
• Granted Patent: US 8,200,528 B2
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06F 17/18 for evaluating statistical data , e.g. average values, frequency distributions, probability functions, regression analysis forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 10/06395 Quality analysis or management

Abstract

A factor analysis system and method thereof is disclosed. The factor analysis system comprises a data receiving module for receiving a plurality of factors having influence on a target total value, a plurality of base values corresponding to the factors, and a target improvement percentage; a first computing unit for computing a reference target total value and a plurality of upgraded target total values; a second computing unit using the upgraded target total values and the reference target total value to compute the sensitivity of each of the factors; and a processing module for multiplying a factor improvement of each factor in percentage point by the factor sensitivity of each factor to obtain the level of contribution of each factor to the target total value. Through the factor analysis, a decision maker can decide the optimal combination of different factor improvements for achieving the planned target total value.

Claims

1. A factor analysis system, comprising:

a data receiving module receiving a plurality of factors that have influence on a target total value, a plurality of base values corresponding to the factors, and a target improvement percentage;

the factors comprising a first factor and a second factor, the base values comprising a first base value for the first factor and a second base value for the second factor, and the target improvement percentage comprising a first factor improvement in percentage point and a second factor improvement in percentage point;

a first computing unit being connected to the data receiving module;

the first computing unit using the base values of the factors as a basis to compute a reference target total value, and using the first factor increased by one percentage point and the second base value of the second factor as a basis to compute a first upgraded target total value, and using the second factor increased by one percentage point and the first base value of the first factor as a basis to compute a second upgraded target total value;

a second computing unit being connected to the first computing unit;

the second computing unit using the first upgraded target total value and the reference target total value as a basis to compute a first factor sensitivity, and using the second upgraded target total value and the reference target total value as a basis to compute a second factor sensitivity; and

a processing module being connected to the second computing unit and the data receiving module;

the processing module multiplying the first factor improvement by the first factor sensitivity to obtain a first factor contribution indicating a level of contribution of the first factor to the target total value, and multiplying the second factor improvement by the second factor sensitivity to obtain a second factor contribution indicating a level of contribution of the second factor to the target total value.

2. The factor analysis system as claimed in claim 1, further comprising a composite ordination diagram connected to the processing module for listing the factor sensitivities and the factor improvements of the factors.

3. The factor analysis system as claimed in claim 1, wherein the data receiving module further receives a plural pairs of upper and lower bounds that respectively define a change range of the factors;

the upper bounds comprising a first upper bound and a second upper bound; and

the lower bounds comprising a first lower bound and a second lower bound.

4. The factor analysis system as claimed in claim 3, further comprising a third computing unit connected to the data receiving module;

the third computing unit using the first upper and lower bounds of the first factor as a basis to compute a first factor related target value change range, and using the second upper and lower bounds of the second factor as a basis to compute a second factor related target value change range.

5. The factor analysis system as claimed in claim 4, further comprising a target value change range ordination diagram connected to the third computing unit for listing the target value change range related to each of the factors.

6. A factor analysis method, comprising the following steps:

providing a data receiving module for receiving a plurality of factors that have influence on a target total value, a plurality of base values corresponding to the factors, and a target improvement percentage;

the factors comprising a first factor and a second factor, the base values comprising a first base value for the first factor and a second base value for the second factor, and the target improvement percentage comprising a first factor improvement in percentage point and a second factor improvement in percentage point;

using a first computing unit to compute a reference target total value based on the base values of the factors, and compute a first upgraded target total value based on the first factor increased by one percentage point and the second base value of the second factor, and compute a second upgraded target total value based on the second factor increased by one percentage point and the first base value of the first factor;

using a second computing unit to compute a first factor sensitivity based on the first upgraded target total value and the reference target total value, and compute a second factor sensitivity based on the second upgraded target total value and the reference target total value; and

using a processing module to multiply the first factor improvement by the first factor sensitivity to obtain a first factor contribution indicating a level of contribution of the first factor to the target total value, and multiply the second factor improvement by the second factor sensitivity to obtain a second factor contribution indicating a level of contribution of the second factor to the target total value.

7. The factor analysis method as claimed in claim 6, further comprising the following step:

providing a composite ordination diagram for listing the factor sensitivities and the factor improvements of the factors.

8. The factor analysis method as claimed in claim 6, further comprising the following step:

using the data receiving module to receive a plural pairs of upper and lower bounds that respectively define a change range of the factors;

the upper bounds comprising a first upper bound and a second upper bound; and

the lower bounds comprising a first lower bound and a second lower bound.

9. The factor analysis method as claimed in claim 8, further comprising the following step:

using a third computing unit to compute a first factor related target value change range based on the first upper and lower bounds of the first factor, and compute a second factor related target value change range based on the second upper and lower bounds of the second factor.

10. The factor analysis method as claimed in claim 9, further comprising the following step:

providing a target value change range ordination diagram for listing the target value change range related to each of the factors.