本研究提出專案績效控制系統之參數設定模式（Parameters Setting Model for Performance Control Systems, PSM），減少取得績效控制系統所需參數之設定值的時間，並降低設定時的人為判斷程度。
本模式針對績效控制或模擬模式中的「作業項目」、「作業數量」及「作業邏輯關係」等參數，提出「直接取得功能」；讓使用者可以快速的從新案例之相關文件中獲得這類參數的設定值。
接著針對「各種因子狀態組合下的生產力隨機分佈」以及「因子權重」兩項參數，提出「間接取得功能」。讓使用者可以利用此功能中的「因子模組」及「生產力模組」，快速的從完工案例之相關文件中獲得「各種因子狀態組合下的生產力隨機分佈」。並利用「干擾指數模組」獲得訂定「因子權重」的參考資訊；藉此降低設定「因子權重」時的人為判斷程序。
在經過案例應用後，証實本研究所建構之系統參數設定模式是合理且可行的。本模式求出的生產力及因子影響生產力的資訊；皆符合研究之假設及作業的特性；且利用所得之參數設定值，進行績效預測之結果也是可接受的。

This study proposes a Parameters Setting Model for Performance Control Systems (PSM) to speed up the time that the general performance control systems need to set parameters. Using this model, not only human judgments involved in parameters setting can be reduced but also time can be saved for project managers to deal with and to solve problems.
The PSM is able to provide a list of sources of parameters, so that users can refer to this list to set up parameters. The PSM also can extract the conditions of “work content” and “work environment” factors from productivity data and classify the data by combination factor conditions. In additional, it provides an information on affect in productivity of “work environment” factors. Hence, users can base on this information to set up the factor weight.
Through the case studies, the productivity and factor weight obtained from the PSM are consistent with the research hypothesis and activity characteristics. This verifies that the PSM is rationale and feasible.

1. Murmis, Gustavo Marcelo, (1997), “S Curve for Monitoring Project Progress,” Project management journal, Vol.28, Issue 3, pp.29-35.
2. Jeffrey S. Russell, Edward J. Jaselskis and Samuel P. Lawrence, (1997), “Continuous Assessment of Project Performance,” Journal of Construction Engineering and Management, ASCE, Vol.123, Issue 1, pp.142-148.
3. Gabriel A. Barraza, W. Edward Back and Fernando Mata, (2000), “Probabilistic Monitoring of Project Performance Using SS-Curves,” Journal of Construction and Management, ASCE, Vol.126, Issue 2, pp.142-148.
4. Gabriel A. Barraza, W. Edward Back and Fernando Mata, (2004), “Probabilistic Forecasting of Project Performance Using Stochastic S Curves,” Journal of Construction and Management, ASCE, Vol.126, Issue 2, pp.142-148.
5. 郭克勤，「2D-SS曲線模擬模式之建立」，碩士論文，國立台灣科技大學營建工程研究所，台北，2006，王慶煌。
6. Tao-Ming Cheng and Chung-Wei Feng, “An effective simulation mechanism for construction operations,” Automation In Construction, Vol. 12, pp. 227-244 (2003)
7. Jonathan Jingsheng Shi, “Activity-based construction (ABC) modeling and simulation method,” Journal of Construction Engineering and Management, ASCE, Vol. 125, No. 5, pp. 354-360 (1999)
8. Neal B.H Benjamin and Theodore W. Greenwald, “Simulating effects of weather on construction,” Journal of the Construction Division, ASCE, pp.175-190(1973)
9. Hira N. Ahuja and V. Nandakumar, (1985), “Simulation Model to Forecast Project Completion Time,” Journal of Construction Engineering and Management, ASCE, Vol.111, No.4, pp.325-342.
10. Wie-Chih Wang and Laura A. Demsetz, (2000), “Model for Evaluating Networks Under Correlated Uncertainty-NETCOR,” Journal of Construction Engineering and Management, ASCE, Vol.126, No.6, pp.458-466.
11. Ching-Hwang Wang, Wei-Hsien Lee and Yu-Chun Huang, (2007), “Extended Factor-Functioning Mechanics for Construction Project Duration Simulation,” Submitted to Journal of Construction Engineering and Management.
12. H. Randolph Thomas, Ivica Zarski, (1999), “Construction Baseline Productivity: Theory and Practice,” Journal of Construction Engineering and Management, ASCE, Vol.125, No.5, pp.295-303.
13. Hwang, S., Liu, L.Y.,(2005) ,” Proactive Project Control Using Productivity Data and Time Series Analysis,” Proceedings of the 2005 ASCE International Conference on Computing in Civil Engineering, pp. 1925-1935
14. 高嘉宏，「路堤填築基準生產力之探討–以中山高速公路拓建工程為例」，碩士論文，國立台灣科技大學營建工程研究所，台北，2005，呂守陞。
15. H. Randolph Thomas, Iacovos Yiakoumis,(1987),“Factor Model of Construction Productivity,” Journal of Construction Engineering and Management, ASCE, Vol.113, No.4, pp.623-639.
16. H. Randolph Thomas, Ahmet S. Sakarcan,(1994),“Forecasting Labor Productivity Using Factor Model,” Journal of Construction Engineering and Management, ASCE, Vol.120, No.1, pp.228-239.
17. 黃弘銘，「鋼構造基準生產力之研究」，碩士論文，國立高雄第一科技大學，高雄，2000，林建良。
18. Ofer Zwikael, Shlomo Globerson and Tzvi Raz, (2000), “Evaluation of Models for Forecasting the Final Cost of a Project,” Project Management Journal, Vol.31, No.1, pp.53-57.
19. Wei-Chih Wang1, Laura A. Demsetz, (2000), “Application Example for Evaluating Networks Considering Correlation,” Journal of Construction Engineering and Management, ASCE, Vol.126, No.6, pp.467-474.
20. H. Randolph Thomas, Cody T. Mathews and James G. Ward, (1986), “Learning Curve Models of Construction Productivity,” Journal of Construction Engineering and Management, ASCE, Vol.112, Issue 2, pp.245-258.