數位工廠(Digital Factory)的概念已逐漸普及於產業界中，所包含的生產應用範圍也越來越廣，無論是生產排程、設施規劃等皆有其蹤跡。另一方面，數位人體模型的發展也日益豐富，已開發出許多人因評估模式建立在人體模型中，藉此進行產品設計與評估，但受限於人體模型動作產生的效率、速度不甚理想，並且無法將動作內容進一步與作業內容產生連結，所以利用人體模型進行人工工作站時間評估的應用往往受到侷限，本研究目的在於成為數位工廠與數位人體模型的橋樑，開發出實用性的人工工作站規劃工具。
本研究針對現場作業及人因工程的需求，以自然語言為輸入內容，進行數位人體模型的動作產生，進一步利用自然語言所產生的動作步序來執行作業內容的分派，同時與模擬平台內的人體模型動作進行連結，在改變動作步序的順序後，數位人體的動作內容也同時改變，藉以評估設施規劃、作業編成、人力調配等的適當性。
本研究並以汽車製造業的人工工作站為範例，進行模擬需求調查，在DELMIA V5的模擬平台下，以Visual Basic進行客製化程式開發，納入實際人工工作站之生產週期時間資料庫以及MTM-UAS (Methods Time Measurement Universal Analyzing System)預估時間，主要貢獻為可協助人工工作站的工時預估、作業編成、設施規畫等評估，並加速模擬動畫的速度，綜合現場操作人員及生產規劃人員的經驗，實現數位工作現場規劃。

The concept of digital factory is becoming more and more popular in industry, and it is widely applied to layout design and production plan. The development of digital human model is much more plentiful these days. Several human model systems are embedded with ergonomics model for evaluating product and workplace design. Due to the process of generating and editing human motion on simulation platform is inefficient, it is necessary to use human motion simulation to evaluate the manual operation is restricted. This study focuses on developing a customized system to evaluate manual workstation by connecting the digital factory with digital human model.
This study analyses the job task of operator by using natural language as input. The motion step description is used to arrange the work and connect the motion description with the simulated motion. If the sequence of motion step description is changed, the motion sequence of a digital human will be changed at the same time. These connections can be used to evaluate the appropriateness of layout, work arrangement, and manpower requirement.
The study uses the manual workstation in automotive industry to investigate the requirement of factory simulation. A customized program in DELMIA V5 was created. The program used standard time data of production and MTM-UAS (Methods Time Measurement-Universal Analyzing System) to predict the cycle time. The system can be used to assist the time prediction of operation, work arrangement, layout design and therefore realize the concept of digital panning.

1. 王茂駿，王明揚，林昱呈，2002。台灣地區人體計測資料庫手冊。
2. 林昱呈，1997。人體尺寸比例關係與預測模式之建立，國立清華大學工業工程研究所碩士論文。
3. 張高雄，1994。方法時間衡量 MTM-UAS使用手冊，佳銳管理技術顧問社，台北。
4. 盧淵源，1983。方法時間衡量系列技術，華泰書局。
5. JackTM：http://www.ugs.com/products/efactory/jack/
6. RAMSISTM： http://www.human-solutions.com/automotive_industry/ramsis_en.php
7. SantosTM：http://www.digital-humans.org/main.htm
8. The Center for Human Modeling & Simulation：http://hms.upenn.edu/index.html
9. Abdel-Malek, K., Yu, W., and Jaber, M., 2001. Realistic posture prediction. SAE Digital Human Modeling and Simulation.
10. Abdel-Malek, K., Yang, J., Mi, Z., Patel, V. C., and Nebel, K., 2004. Human upper body motion prediction. Proceeding of Applied Simulation and Modelling.
11. Abdel-Malek, K., Mi, Z., Yang, J., and Nebel, K., 2005. Optimization-based layout design. ABBI 2005, Vol.2, No.3-4, pp.187-196.
12. Allen, B., Curless, B., and Popovic, Z., 2003. The space of human body shapes: reconstruction and parameterization from range scans. In Proceedings of ACM SIGGRAPH, Vol.22, No.3, pp.587-594.
13. Badler, N. I., Bindiganavale, R., and Bourne, J., 1998. A parameterized action representation for virtual human agents. Workshop on Embodied Conversational Characters, North Tahoe, CA.
14. Badler, N. I., Bindiganavale, R., Albeck, J., Schuler, W., Zhao, L., Lee, S. J., Shin, H., and Palmer, M., 1999. Parameterized action representation and natural language instructions for dynamic behavior modification of embodied agents. American Association for Artificial Intelligence.
15. Case, K., Porter, J. M., and Bonney, M., 1990. SAMMIE: a man and workplace modeling system. In: Karwowski, W., Genaidy, A.M., Asfour, S.S.(Eds.), Computer-Aided Ergonomics. Taylor&Francis, London, pp.31-56.
16. Chaffin, D. B., Faraway, J., and Zhang, X., 1999. Simulating reach motions, SAE Digital Human Modeling for Design and Engineering International Conference.
17. Chaffin, D. B. (Ed.)., 2001. Digital human modeling for vehicle and workplace design. Warrendale, PA: Society of Automotive Engineers.
18. Chaffin, D. B., 2002. On simulating human reach motion for ergonomics analyses. Human Factors and Ergonomics in Manufacturing, Vol.12, No.3, pp.1-13.
19. Davis, L., Ha, Y., Frolich, S., Martin, G., Meyer, C., Pettitt, B., Norfleet, J., Lin, K. C., and Rolland, J.P., 2002. Augmented reality and training for airway management. Procedures In: Westwood, J. D., Hoffman, H. M., Robb, R. A., Stredney, D. (Eds.), Medicine Meets Virtual Reality 02/10.IOS Press, pp.121-125.
20. Gleicher, M., 1997. Motion editing with spacetime constraints. Proceedings of the 1997 Symposium on Interactive 3D Graphics.
21. Gleicher, M., 2001. Motion path editing. Proceedings of the 2001 ACM Symposium on Interactive 3D Graphics, pp.195-202.
22. Hachimura, K. and Nakamura, M., 2001. Method of generating coded description of human body motion from motion-captured data. IEEE International Workshop on Robot and Human Interactive Communication.
23. ISO(International Organization for Standardization), 1994, ISO 9241, Ergonomic requirements for office work with visual display terminals, part 10：Geneva, Switzerland.
24. Jeong, I. K., Park, K. J., Baek, S. M., and Lee, I., 2001. Implementation of a motion editing system. Proceedings of the Seventh International Conference on Virtual Systems and Multimedia.
25. Kayis, B., Hoang, K., 1999. Static three-dimensional modelling of prolonged seated posture. Applied Ergonomics, Vol.30, No.3, pp.255- 262.
26. Kühn, W., 2006. Digital factory-simulation enhancing the product and production engineering process. Proceedings of the 2006 Winter Simulation Conference.
27. Man, X., Swan, C. C., and Rahmatalla, S., 2006. A clothing modeling framework for uniform and armor system design. Defense and Security Symposium, pp. 17-22.
28. Park, W., Chaffin, D. B., and Martin, B. J., 2004. Toward memory-based human motion simulation: development and validation of a motion modification algorithm. IEEE Transactions on systems, Man, and cybernetics PartA: Systems and humans, Vol.34, No.3, pp.376-386.
29. Roebuck, J. A., Kroemer, H. E., and Thomas, W. G., 1975. Engineering anthropometry methods. John Wiley Publication, New York.
30. Steinfeld, E., 2004. Modeling spatial interaction through full-scale modeling. International Journal of Industrial Ergonomics, Vol.33, No.3, pp.265-278.
31. Tolani, D., Goswami, A., and Badler, N. I., 2000. Real-time inverse kinematics techniques for anthropomorphic limbs. Graphical Models, Vol.62, No.5, pp. 353–388.
32. Wöhlke, G.. and Schiller, E., 2005. Digital planning validation in automotive industry. Computers in Industry, Vol.56, No.4, pp. 393-405.
33. Yang, J., Abdel-Malek, K., Farrell, K., and Nebel, K., 2004. The IOWA interactive digital-human virtual environment. Proceedings of IMECE 2004.
34. Yang, J., Marler, T., Beck, S., Kim, J., Wang, Q., Zhou, X., Pena Pitarch, E., Farrell, K., Patrick, A., Sinokrot, T., Potratz, J., Abdel-Malek, K., Arora, J., and Nebel, K. , 2006. New capabilities for the virtual-human SantosTM. SAE World Congress.
35. Zhang, X. and Chaffin, D. B., 2000. A three-dimensional dynamic posture prediction model for simulation in-vehicle seated reaching movements: development and validation, Ergonomics, Vol. 43, No.9, pp.1314-1330.
36. Zordan, V. B. and Hodgins, J. K., 2002. Motion capture-driven simulations that hit and react. ACM SIGGRAPH Symposium on Computer Animation, pp. 89-96.
37. Zülch, G.. and Grieger, T., 2005. Modelling of occupational health and safety aspects in the Digital Factory. Computers in Industry, Vol.56, No.4, pp.384–392.