危機管理講求時效性，並且需要擁有不同專長的單位來共同合作。也因此，進行危機處理時往往需要將不同單位的資訊系統加以整合，以收集整合性的知識和資源，規劃不同單位共同合作的解決方案。
　　在研究中，我們提出一個方法論，透過BPEL4WS的流程描述語言，串聯不同單位的網路服務，去建構一個自動化的119緊急傷患送醫的危機處理流程。
　　透過網路服務和XML，我們可以即時的根據病人的狀況，去搜尋有哪些醫院擁有足夠的醫療資源醫治這位病患。而透過BPEL4WS，則能夠將不同單位異質的資訊系統，根據預先定義好的工作流程將其串聯起來，如此一來，工作流程可以自動化的進行，而不用受到有限的人力資源影響。
　　要讓這樣的研究架構能夠產生其效用，最重要的，就是各家醫院必須願意去分享他們的醫療資源資訊，這樣EOC才能夠根據各家醫院的資源狀況，有效的分配醫療資源。因此在我們的研究中，採用模擬的方式，去驗證醫院配合分享醫療資源資訊與否，是否會影響到其院內醫療資源的使用率。我們透過模擬去觀察，在資源充足與否，以及意外發生頻率多寡的不同情況下，EOC採用三種不同的政策，對於醫院是否分享資訊會帶來什麼樣的影響。
　　在我們最後的實驗結果當中，我們發現如果EOC想要得到最多的醫院資訊分享量，必須根據當時的意外發生頻率以及資源充沛程度，個別的去實施不同的政策。而對於醫院來說，想要獲取最高的資源使用率，也必須要端視EOC採用什麼樣的策略，以及當時大環境的意外發生頻率，以及院內的資源充沛程度進行資訊分享策略的調整。

Emergency response is a time critical work that needs team work from different organizations with various specialties. It also needs to integrate existing information system to collect and assemble necessary knowledge and resources for critical emerging tasks and use it to plan for collaborative problem solving
In this study, we propose the methodology to automate the traditional emergency patient transfer process by connecting different organization’s information systems through Web services with BPEL4WS.
Via Web services, the medical resources information can be requested according to patient conditions, and resource reservation decision can be made online. Via BPEL4WS, heterogeneous information systems in different organizations can be connected and executed automatically in any predefined process without limit human intervention.
The willingness of hospitals to share various levels of resource availability information to Emergency Operation Center (EOC) to coordinate regional medical resource distribution is critical to make Web service platform work. Therefore, this study examines the correlation of individual hospitals’ performance in terms of resource utilization with hospital’s information sharing with EOC. We investigate the effects from sharing information to EOC which adopts three policies of releasing hospital status information through simulation under different conditions in emergency occurrence and occupied hospital resources.
Our findings from the simulations imply that the best policy for EOC to adopt in order to make Web services workable in handling medical emergency is to accord different conditions to adopt different suitable policies. For hospitals, if they want to get the maximum resources utilization, it had better to refer to different condition to adopt different information sharing strategies.

致謝 I
論文提要 IV
Abstract V
中文摘要 VI
Table of Contents VII
List of Figures IX
List of Tables X
Chapter 1 Introduction 1
1.1 Research Background 1
1.2 Research Motivation 2
1.3 Research Objectives 2
1.4 Thesis Organization 3
Chapter 2 Literature Review 4
2.1 Crisis 4
2.1.1 Definitions of Crisis 4
2.1.2 Crisis Management 5
2.1.3 Crisis Management Systems 9
2.2 Business-to-Business Interaction Technologies 12
2.2.1 Web Service Stacks 13
2.2.2 Reasons to Use Web Services 15
2.3 Process Formation 16
2.3.1 How to Compose Web Services to Form Business Processes 16
2.3.2 BPEL4WS 20
Chapter 3 Research Framework 23
3.1 Emergency Patients Transfer Process in Taiwan 23
3.2 Research Framework 23
3.3 Research Model 27
Chapter 4 Evaluation 28
4.1 Evaluation Settings 28
4.2 Evaluation Process and Criteria 34
Chapter 5 Evaluation Results 38
5.1 Simulation Results 39
5.1.1 Average results from Condition 1 39
5.1.2 Average Results from Condition 2 40
5.1.3 Average Results from Condition 3 41
5.1.4 Average Results from Condition 4 42
5.2 Discussions 43
5.2.1 Model verification 43
5.2.2 Effects of EOC’s Policies 44
5.2.3 Issues of environmental-insensitive hospitals 50
Chapter 6 Conclusions and Future Research 54
6.1 Conclusions 54
6.2 Limitation and Future Research 55
References 57

Bahora, A. S., Collins, T. C., Davis, S. C., Goknur, S. C., Kearns, J. C., Lieu, T. N., Nguyen, T. P., Zeng, J. S., Horowitz, B. M., & Patek, S. D.(2003). Integrated peer-to-peer application for advanced emergenct response systems part1: concept of oerations. Paper presented at the Proceeding of the 2003 Systems and Information Engineering Design Symposium.
Bahora, A. S., Collins, T. C., Davis, S. C., Goknur, S. C., Kearns, J. C., Lieu, T. N., Nguyen, T. P., Zeng, J. S., Horowitz, B. M., & Patek, S. D.(2003). Integrated peer-to-peer application for advanced emergenct response systems part1: technical feasibility. Paper presented at the Proceeding of the 2003 Systems and Information Engineering Design Symposium.
Barton, L. (1993). Crisis in organizations: Managing and communicating in the heat of chaos. Ohio: South-Western Publishing Co.
Barry & Associates Incorporation. (2000). Service-oriented .Barry & Associates Incorporation. Retrieved Oct 29,2004, from http://www.service-architecture.com/web-services/articles/service-oriented_architecture_soa_definition.html
Booth, D., Haas, H., McCabe, F., Newcomer, E., Champion, M., Ferris, C. and Orchard, D. Web Service Architecture, W3C, 2003.
Curbera, F., Khalaf, R., Mukhi, N., Tai,S., & Weerawarana, S.(2003). The next step in Web Services. Communication of The ACM, Vol. 46. No. 10, 29-34
Chan, C. W. (2004). Crisis Management: Theoretical architecture. Taiwan: Linking Publish House.
Chang, H.C (2004). The Development of Exception handling mechanism based on BPEL4WS. Master thesis.
Contreras, M. L. (2003). Business process executive language for web services. the Seminar of Distributed Software-Systems Verteilte Software systeme.
Curbera, F., Khalaf, R., Leymann, F., & Weerawarana, S. (2003). Exception handling in the BPEL4WS language. Business Process Management: International Conference Vol. 2678, pp.276 – 290, published by Springer-Verlag Heidelberg.
Curbera, F., Khalaf, R., Mukhi, N., Tai, S., & Weerawarana, S. (2003) The next step in web services. Communications of the ACM archive Vol. 46 , Issue 10
Cai, Xia, Lyu, M., Wong, K., & Ko, R. (2000). Component-based software engineering: technology, development frameworks, and quality assurance schemes. APSEC 2000, pp.372.
Centers for Disease Control and Prevention. (2004). Basic information about syndrome. Retrieved Oct 28, 2004, from http://www.cdc.gov/ncidod/sars/factsheet.htm
Deming, W. E. (1986). Out of the crisis. Cambridge, Mass: MIT, Center for Advanced Educational Services.
Fink, S. (1986). Crisis management. New York: AMACOM.
Graham, S., Simeonov, S., Boubex, T., Davis, D., Daniels, G., Nakamura, Y. & Neyama, R. (2001). Building Web services with Java - making sense of XML, SOAP, WSDL, and UDDI. Published by sams.
Hwang, J. D., &Wofsy, L. A., Automated decision support for the emergency manager, Unpublished government document, Federal Emergency Management Agency, Washington, D.C. 20472
He, H. (2003). What is service-oriented architecture?. O’Reilly Media, Inc. Retrieved Oct 29,2004, from http://webservices.xml.com/pub/a/ws/2003/09/30/soa.html
Jorgensen, D. (2002). Developing.NET with XML web services, Publish by Syngress Media Inc.
Kohlhammer, J., & Zeltzer, D.(2004). Towards a visualization architecture for time-critical applications. Paper presented at IUI’04, Madeira, Funchal, Portugal.
Lerbinger, O. (1997). The crisis manager facing risk and responsibility. Boston: Lawrence Erlbaum Associates, Inc.
Lausen, D. G., Ihle, M., Weber, M. (2002). Web service. Institut f