목차
Ⅰ. 서 론
Ⅱ. 결정지수의 평가 방법
2.1 평가 절차
2.2 분석 예제 및 결과
Ⅲ. 사업완성시간의 평균값
3.1 평가 절차
3.2 분석 결과
Ⅳ. 불확정성 중요도 평가 방법
4.1 평가 절차
4.2 분석 결과
Ⅴ. 불확정성 감소량의 분석 방법
5.1 평가 절차
5.2 분석 결과
Ⅵ. 요약 및 결론
참고문헌
Abstract
Ⅱ. 결정지수의 평가 방법
2.1 평가 절차
2.2 분석 예제 및 결과
Ⅲ. 사업완성시간의 평균값
3.1 평가 절차
3.2 분석 결과
Ⅳ. 불확정성 중요도 평가 방법
4.1 평가 절차
4.2 분석 결과
Ⅴ. 불확정성 감소량의 분석 방법
5.1 평가 절차
5.2 분석 결과
Ⅵ. 요약 및 결론
참고문헌
Abstract
본문내용
B. M. and Elmaghraby, S. E., Approximating the criticality indices of the activities in PERT networks, Management Science, Vol.31, No.2 (1985), 207-223.
4. Elmaghraby, S. E., On criticality and sensitivity in activity networks, European Journal of Operational Research, Vol.127 (2000), 220-238.
5. Martin, J. J., Distribution of time through a directed acyclic network, Operations Research, Vol.13 (1965), 46-66.
6. Taguchi, G., Introduction to Quality Engineering, Tokyo : Asian Productivity Association, 1986.
7. Taguchi, G., System of Experimental Design, Vol. 1 and 2, New York : UNIPUB/Kraus International Publications, 1987.
8. Taguchi, G. and Konishi, S., Experimental Assignment Method Using Orthogonal Tables (in Japanese), Tokyo : JUSE press, 1959. English Translation : Orthogonal Arrays and Linear Graphs, Michigan : American Supplier Institute, 1987.
9. Van Slyke, R. M., Monte Carlo methods and the PERT problems, Operations Research, Vol.11 (1963), 839-860.
10. Williams, T. M., Criticality in stochastic networks, Journal of the Operational Research Society, Vol.43 (1992), 353-357.
11. Yum, B. J., Cho, J. G., and Kim, Y. S., Experimental determination of uncertainty importances for monotonic systems, Asia Pacific Management Review, Vol.6, No.2 (2001), 217-239.
Methods for Evaluating Importance Measures and
for Analyzing Sensitivity in a PERT Network
Cho, Jae-Gyeun*
A PERT network is a useful structure for project management and control. In a PERT network, the importance measure of an activity is used to identify those activities that warrant more attention for the project management. For this purpose, two measures are frequently used, namely, the criticality index and the uncertainty importance measure. The criticality index is defined as the probability of an activity being on the critical path, and is used to identify which activity's expected duration to decrease in order to decrease the expected value of the project completion time. The uncertainty importance measure of an activity is used to identify the activities that deserve more attention in reducing the magnitude of the uncertainty in the project completion time. In this paper, we discuss the methods for evaluating criticality index using Monte Carlo simulation and for evaluating uncertainty importance measure of an activity using Taguchi tolerance design technique with modifications. In addition, two types of sensitivity analyses are discussed; i) an analysis method using logistic regression model for evaluating the change in the expected project completion time when the expected duration of an activity is changed by a certain amount, and ii) an analysis method using the contribution ratio for predicting the uncertainty of the project completion time when the uncertainty of each activity is reduced.
298
Key Words : PERT network, importance measure, sensitivity analysis
----------------------------
* Assistant Professor, Dept. of Internet Business, Dong-Eui University
4. Elmaghraby, S. E., On criticality and sensitivity in activity networks, European Journal of Operational Research, Vol.127 (2000), 220-238.
5. Martin, J. J., Distribution of time through a directed acyclic network, Operations Research, Vol.13 (1965), 46-66.
6. Taguchi, G., Introduction to Quality Engineering, Tokyo : Asian Productivity Association, 1986.
7. Taguchi, G., System of Experimental Design, Vol. 1 and 2, New York : UNIPUB/Kraus International Publications, 1987.
8. Taguchi, G. and Konishi, S., Experimental Assignment Method Using Orthogonal Tables (in Japanese), Tokyo : JUSE press, 1959. English Translation : Orthogonal Arrays and Linear Graphs, Michigan : American Supplier Institute, 1987.
9. Van Slyke, R. M., Monte Carlo methods and the PERT problems, Operations Research, Vol.11 (1963), 839-860.
10. Williams, T. M., Criticality in stochastic networks, Journal of the Operational Research Society, Vol.43 (1992), 353-357.
11. Yum, B. J., Cho, J. G., and Kim, Y. S., Experimental determination of uncertainty importances for monotonic systems, Asia Pacific Management Review, Vol.6, No.2 (2001), 217-239.
Methods for Evaluating Importance Measures and
for Analyzing Sensitivity in a PERT Network
Cho, Jae-Gyeun*
A PERT network is a useful structure for project management and control. In a PERT network, the importance measure of an activity is used to identify those activities that warrant more attention for the project management. For this purpose, two measures are frequently used, namely, the criticality index and the uncertainty importance measure. The criticality index is defined as the probability of an activity being on the critical path, and is used to identify which activity's expected duration to decrease in order to decrease the expected value of the project completion time. The uncertainty importance measure of an activity is used to identify the activities that deserve more attention in reducing the magnitude of the uncertainty in the project completion time. In this paper, we discuss the methods for evaluating criticality index using Monte Carlo simulation and for evaluating uncertainty importance measure of an activity using Taguchi tolerance design technique with modifications. In addition, two types of sensitivity analyses are discussed; i) an analysis method using logistic regression model for evaluating the change in the expected project completion time when the expected duration of an activity is changed by a certain amount, and ii) an analysis method using the contribution ratio for predicting the uncertainty of the project completion time when the uncertainty of each activity is reduced.
298
Key Words : PERT network, importance measure, sensitivity analysis
----------------------------
* Assistant Professor, Dept. of Internet Business, Dong-Eui University
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