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Service-oriented intelligent group decision support system: Application in transportation management

Author

Listed:
  • Shiwei He

    (Beijing Jiaotong University)

  • Rui Song

    (Beijing Jiaotong University)

  • Sohail S. Chaudhry

    (Villanova School of Business, Villanova University)

Abstract

In today’s ever changing consumer driven market economy, it is imperative for providers to respond expeditiously to the changes demanded by the customer. This phenomenon is no different in the transportation sector in which a service-oriented Group Decision Support System (GDSS) provides an important role in transportation enterprise to effectively manage and rapidly respond to the varying needs of the customer. In this paper, we explore the integration problem of service-oriented system and intelligence technology through the use of a GDSS. Initially, we analyze a service-oriented architecture and then, propose the design architecture of a service-oriented GDSS. Next, we put forward a general framework that integrates the intelligent techniques as a component into the architecture of service oriented GDSS. In addition, we illustrate how Artificial Intelligence techniques can resolve the conflicts of distributed group decisions. The paper is concluded by providing a number of applications in the railway management system that demonstrates the benefits of the utilization of a service oriented intelligent GDSS.

Suggested Citation

  • Shiwei He & Rui Song & Sohail S. Chaudhry, 2014. "Service-oriented intelligent group decision support system: Application in transportation management," Information Systems Frontiers, Springer, vol. 16(5), pages 939-951, November.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:5:d:10.1007_s10796-013-9439-4
    DOI: 10.1007/s10796-013-9439-4
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    References listed on IDEAS

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    1. He, Shiwei & Song, Rui & Chaudhry, Sohail S., 2000. "Fuzzy dispatching model and genetic algorithms for railyards operations," European Journal of Operational Research, Elsevier, vol. 124(2), pages 307-331, July.
    2. Shiwei He & Sohail Chaudhry & Zhonglin Lei & Wang Baohua, 2009. "Stochastic vendor selection problem: chance-constrained model and genetic algorithms," Annals of Operations Research, Springer, vol. 168(1), pages 169-179, April.
    3. Gerardine DeSanctis & R. Brent Gallupe, 1987. "A Foundation for the Study of Group Decision Support Systems," Management Science, INFORMS, vol. 33(5), pages 589-609, May.
    4. Bui, Tung X. & Jelassi, Tawfik M. & Shakun, Melvin F., 1990. "Group Decision and Negotiation Support Systems (GDNSS)," European Journal of Operational Research, Elsevier, vol. 46(2), pages 141-142, May.
    5. Debbage, Keith G, 1999. "Air transportation and urban-economic restructuring: competitive advantage in the US Carolinas," Journal of Air Transport Management, Elsevier, vol. 5(4), pages 211-221.
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    2. Shivam Gupta & Sachin Modgil & Choong-Ki Lee & Uthayasankar Sivarajah, 2023. "The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry," Information Systems Frontiers, Springer, vol. 25(3), pages 1179-1195, June.
    3. Yong Qin & Zeshui Xu & Xinxin Wang & Marinko Skare, 2024. "Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1736-1770, March.

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