Applying Intelligent Agent-Based Support Systems in Agile Business Processes

  • Chun-Che Huang


Business is undergoing a major paradigm shift, moving from traditional management into a world of agile organizations and processes. An agile corporation should be able to rapidly respond to market changes. Corporation managers make informed decisions based upon a combination ofjudgments and information from marketing, sales, research, development, manufacturing, and finance departments. Ideally, all relevant information should be brought together before a judgment is exercised. However obtaining pertinent, consistent and up-to-date information across a large company is a complex and time-consuming process. For this reason, corporations have been seeking to develop a number of information technology (IT) systems to assist with the information management oftheir business processes. Such systems aim to improve the way that information is gathered, managed, distributed, and presented to people in key business functions and operations.


Supply Chain Multiagent System Intelligent Agent Incoming Message Collection Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Guilfoyle, C., “Ventors of agent technology,” UNICOM Seminar on Intelligent Agents and theirBusiness Application, London, 8-9, 1995, pp. 135–142.Google Scholar
  2. [2]
    Nwana, H. S, “Software agents: An overview,” Knowledge Engineering Review, 11(3), 1996, pp. 205–244.CrossRefGoogle Scholar
  3. [3]
    Etzioni, O., and Weld, D. S., “Intelligent agents on the internet: fact, fiction, and forecast,” IEEE Expert, 10(4), 1995, 44–49.CrossRefGoogle Scholar
  4. [4]
    Huhns, M. N., and Singh, M. P, “Automating workflows for service procision provisioning integrating AI and database technologies,” Proc IEEE Conf. on Artiiuia! Intelligence for Applications (CAIA), 1994, pp. 405–411.Google Scholar
  5. [5]
    Appleby, S., and Steward, S., “Mobile software agents for control in telecommunications networks,” BY Technol. J., 12 (2), 1994, pp. 104–113.Google Scholar
  6. [6]
    Rao, A. S., and Georgeff, M. P., “BDI agents: from theory to practice,” Proc. 1 st Int. Conf. On Multi-agent systems (ICMAS-95), San Francisco, USA, 1995, pp. 312–319Google Scholar
  7. [7]
    Jennings, N. R., Faratin, P., Johnson, M. J., Norman, T. J., O’Brien, P., and Wiegand, M. E., “Agentbased business process management,” InternationalJournal of Cooperative Information Systems, 5(2-3), 1996, pp.105–130.CrossRefGoogle Scholar
  8. [8]
    Davies, N. J., Weeks, R., and Revett, M., “JASPER: Communicating information agents,” Proc. 4 th Int. Conf. on the World Wode U1eb, Boston, USA, December, 1(1), 1995, pp. 473–482Google Scholar
  9. [9]
    Maes, P, “Agents that reduce work and information overload,” Communications of the ACM, 37(7), 1994, pp. 31–40.CrossRefGoogle Scholar
  10. [10]
    Durfee, E. H., Kiskis, D., and Birmingham, B., “The agent architecture of the university of michigan digital library,” IEEE Proceedings of Software engineering, 144(1), 1997, pp. 61–71.CrossRefGoogle Scholar
  11. [11]
    Hayes-Roth, B., Brownston, L. and Van Gent, R. “An architecture for adaptive intelligent systems,” Artificial Intelligence, 1-2, 1995, pp. 329–365.CrossRefGoogle Scholar
  12. [12]
    Mitchell, T., Caruana, R., Freitag, D., Mcdermott, J., and Zabowski, D., “Experience with a learning personal assistant,” Communications of the ACM, 37(7), 1994, pp. 81–91.CrossRefGoogle Scholar
  13. [13]
    Karacapilidis, N., and Moraitis, P, “Intelligent agents for an artificial market system, “Proceedings of the fifth international conference on Autonomous agents, Montreal, Quebec, Canada, 2001, pp. 592–599.Google Scholar
  14. [14]
    Choi, S. P M., Liu, J.,and Chan, S. P, “A genetic agent-based negotiation system,” Computer Networks, 37(2), 2001, pp. 195–204.CrossRefGoogle Scholar
  15. [15]
    Sandhom, T., and Lesser, V, “Issues in automated negotiation and electronic commerce: Extending the contract net framework”, Proc. 1 st Int. Conf. On Multi-agent systems (ICAMS), San Franscisco, California, 1995, pp. 328–335.Google Scholar
  16. [16]
    Swaminathan, J. M., Smith, S. F.,and Sadeh, N. M., “Modeling supply chain dynamics: A multiagent approach,” Decision Sciences, 29(3), 1998, pp. 607–632.CrossRefGoogle Scholar
  17. [17]
    Ito, T., and Salleh, M. R., “A blackboard-based negotiation for collaborative supply chain system,” Journal of Materials Processing Technology, 107(1), 2000, pp. 398–403.CrossRefGoogle Scholar
  18. [18]
    Kaihara, T., “Supply chain management with market economics,” International Journal of Production Economics, 73(1), 2001, pp. 5–14.CrossRefGoogle Scholar
  19. [19]
    Fischer, K., Chaib-draa, B., Muller, J. P., Pischel, M., and Gerber, C. “A simulation approach based on negotiation and cooperation between agents: A case study,” Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions, 29(4), 1999, pp. 531–545.CrossRefGoogle Scholar
  20. [20]
    Logan, B., and Theodoropoulos, G., “An approach to interest management and dynamic load balancing in distributed simulation,” Proceedings of the 2001 European Simulation Interoperability Workshop (ESIW’01), Simulation Interoperability Standards Organisation and Society for Computer Simulation, June 2001, pp. 565–571.Google Scholar
  21. [21]
    Jennings, N., Sierra, R. C., and Faratin, P, “A service-oriented negotiation model between autonomous agents,” in Collaboration between Human and Artificial Societies—Coordination and Agent-Based Distributed Computing (ed. J. Padget), Lecture Notes in Artificial Intelligence, 1624, 2000, Springer Verlag, pp. 201–220.Google Scholar
  22. [22]
    Bresciani, P, Perini, A., Giorgini, P, and Giunchiglia, E, “A knowledge level software engineering methodology for agent oriented programming,” Proceedings of the Fifth International Conierence on Autonomous Agents, 2001, pp. 648–655.Google Scholar
  23. [23]
    Akoumianakis, D., Savidis, A., and Stephanidis, C., “Encapsulating intelligent interactive behaviour in unified user interface artifacts,” Interacting with Computers, 12(4), 2000, pp. 383–408.CrossRefGoogle Scholar
  24. [24]
    Descamps, S., and Ishizuka, M., “Bringing affective behavior to presentation agents,” Proc. 3rd Int’l Workshop on Multimedia Network Systems (MNS2001) (IEEE Computer SOc.), Mesa, Arizona, 2001, pp.332–336.Google Scholar
  25. [25]
    Tan, G. W, Hayes, C. C., and Shaw, M., “An intelligent-agent framework for concurrent product design and planning,” Engineering Management, IEEE Transactions, 43(3), 1996, pp. 297–306.CrossRefGoogle Scholar
  26. [26]
    Lewis, T., “Something for nothing ai][electronic commerce],” Computer, 32(5), 1999, pp. 118–119.CrossRefGoogle Scholar
  27. [27]
    Lazanský, J., Mayr, H. C., Quirchmayr, G., and Vogel, P., “Database and Expert Systems Applications,” 12th International Conference, DEXA 2001, Munich, Germany, September, 2001.Google Scholar
  28. [28]
    Jennings, N. R., Faratin, P, Norman, T. J., O’Brien, P, Wiegand, M. E., Voudouris, C., Alty, J. L., Miah, T., and Mamdani, E. H., “Adept: Managing business processes using intelligent agents,” In Proceedings of BCS Expert Systems Conierence (ISP Track), Cambridge, UK, 1996, pp. 5–23.Google Scholar
  29. [29]
    Tarumi, H., Matsuyama, T., and Kamabayashi, Y., “10 Evolution of business processes and a process simulation tool,” Software Engineering Conference, 1999. (APSEC’ 99) Proceedings. Sixth Asia Pacific, 1999, pp. 180–187.Google Scholar
  30. [30]
    Lin, E, and Pai, Y, “Using multi-agent simulation and learning to design new business processes,” Systems, Man and Cybernetics, PartA, IEEE Transactions, 30(3), 2000 pp. 380–384.CrossRefGoogle Scholar
  31. [31]
    Kwok, A., and Norrie, D., “Intelligent agent systems for manufacturing applications,” Journal of Intelligent Manufacturing, 4(4), 1993, pp. 285–293.CrossRefGoogle Scholar
  32. [32]
    Pan, J. Y. C., Tanenbaum, J. M., and Glicksman, J., “A framework for knowledge-based computer integrated manufacturing,” IEEE Transactions on Semi-conductor Manuiacturino, 2(2), 1989, pp. 87–100.Google Scholar
  33. [33]
    Roboam, M., Sycara, K., and Fox, M. S., “Organization modeling as a plat-form for multi-agent manufacturing systems,” Proceedings of Computer Applications in Production and Encineerino, Bordeaux, France, 1991Google Scholar
  34. [34]
    Sadeh, N., “Micro-opportunistic scheduling: The MICRO-BOSS factory scheduler,” Technical Report, CMU-RI-TR-94-04, Carnegie Mellon University, Pittsburg, PA, 1994Google Scholar
  35. [35]
    Smith, S. E, “The OPIS framework for modelling manufacturing systems,” Technical Report, CMURI-TR-89-30, Carnegie Mellon University, Pittsburg, PA, 1989Google Scholar
  36. [36]
    Aguirre, J. L., Brena, R., and Cantu, EJ., “Multiagent-based knowledge networks,” Expert Systems with Applications, 20(1), 2001, pp. 65–75.CrossRefGoogle Scholar
  37. [37]
    Papazoglou, M. P, “Agent-oriented technology in support of e-business,” Communications of the ACM, 44(4), 2001, pp. 71–77.CrossRefGoogle Scholar
  38. [38]
    Turban, E., Aronson, J. E., Decision Support System and Intelligent System, Prentice-Hall, New Jersey, 1998.Google Scholar
  39. [39]
    Ovum, “Intelligent agents: The new revolution in software,” Ovum Report, 1994.Google Scholar
  40. [40]
    Muller, J. P, Wooldrigde, M. j., and Jennings, N. R., “Proceedings of intelligent agent III: Agent theories, architectures, and languages,” ECAI’ 96 Workshop (ATAL), Budapest, Hungry, 1996.Google Scholar
  41. [41]
    Davidow, W, and Malone, M., The Virtual Corporation, Harper Collins, New York, 1992.Google Scholar
  42. [42]
    Huang C. C., “Using intelligent agents to manage fuzzy business process,” IEEE Transactions on Systems, Man, and Cybernetics—Part A, 31(6), 2001, pp. 508–523.CrossRefGoogle Scholar
  43. [43]
    Huang C. C., and Lai, G. H., “Concurrent engineering: Knowledge management of modular product design,” 8TH ISPE International Conference on Concurrent Engineering: Research and Applications, Los Angels, CA, 2001, pp. 85–106.Google Scholar
  44. [44]
    Jennings, N. R., Corera, J., Laresgoiti, I, Mamdani, E. H., Perriolat, E, Skarek, P, and Varga, L. Z., “Using ARCHON to develop real-word DAI applications for electricity transportation management and particle acceleator control,” IEEE Expert, 6(5), 1996, pp. 64–70.CrossRefGoogle Scholar
  45. [45]
    Alty, J. L., Griffiths, D., Jennings, N. R., Mamdani, E. H., Struthers, A., and Wiegand, M. E., “ADEPTadvanced decision environment for process tasks: Overview and architecture,” Proceedings of the BCS Expert Systems Conference, Applications Track, Cambridge, UK, 1994, pp. 359–371.Google Scholar
  46. [46]
    Naylor, B., Nairn, M. M., and Berry, D., “Leagality: Integrating the lean and agile manufacturing paradigms in the total supply chain,” International Journal of Production Economics, 62(1), 1999, pp. 107–118.CrossRefGoogle Scholar
  47. [47]
    Kusiak, A., and Szczerbicki, E., “A formal approach to specifications in conceptual design,” ASME Transactions: Journal of Mechanical Design, 114(4), 1992, pp. 659–666.CrossRefGoogle Scholar
  48. [48]
    Indermaur, K., “Baby steps”, Byte, March, 1995, pp. 97–104.Google Scholar
  49. [49]
    FIPA, FIPA Abstract Architecture Specification (Refinements), 2001, http://www.fipa.orgGoogle Scholar
  50. [50]
    Dignum, F., and Greaves, M., “Agent communication: An introduction,” in: Dignum, F. and Greaves, M., Eds, Issues in Agent Communication, Springer-Verlag, Berlin, 2000.CrossRefGoogle Scholar
  51. [51]
    Huang C. C., and Lai, G. H., 2001, “Agent-based knowledge management system and its effective communication approach,” Working Paper #02-12, Department of Information Management, National Chi-Nan University, Taiwan.Google Scholar
  52. [53]
    Shen, Weiming, Norrie, Douglas H., and Barthes, Jean-Pual A., Multi-Agent Systems for Concurrent Intelligent Design and Manufacturing, Taylor & Francis, New York, 2001.Google Scholar
  53. [54]
    Lin, F.,and Norrie, D. H., “A schema-based conversation modeling for agent-oriented manufacturing systems,” Computer in Industry, 46(3), 2001, pp. 259–274.CrossRefGoogle Scholar
  54. [55]
    Kristensen, L. M., Christensen, S., and Jensen, K., “The practitioner’s guide to coloured Petri nets,” International Journal on Software Too1s for Technology Transfer, 2, 1998, pp. 99–132.Google Scholar
  55. [56]
    Cost, R.S., Chen, Y, Finin, T., Labrou, Y, and Peng, Y., “Using colored petri nets for conversation modeling,” in: Dignum, E and Greaves, M., Eds, Issues in Agent Communication, Springer-Verlag, Berlin, 2000.Google Scholar
  56. [57]
    O’Grady, P, The Internet, Intranets andExtranetsfor Operations andManufacturing, Class Notes, University of Iowa, 1998.Google Scholar
  57. [58]
    Panko, R., Business Data Communications and Networking, Prentice-Hall, London, 2001, pp. 2–14.Google Scholar
  58. [59]
    Bui, T. X., “Decision support in the future tense,” Decision Support Systems, 19(2), 1997, pp. 149–150.CrossRefGoogle Scholar
  59. [60]
    Pahl, G., and Beitz, W, Engineering Design, Springer-Verlag, New York, 1988.Google Scholar
  60. [61]
    Liang, W Y., and O’Grady, P, “Design with objects: an approach to object-oriented design,” Computer Aided Design, 30(12), 1998, pp. 943–956.zbMATHCrossRefGoogle Scholar
  61. [62]
    Vinoski, S., “CORBA: Integrating diverse applications within distributed heterogeneous environmenrs,” IEEE Communications Magazine, 35(2), 1997, pp. 46–55.CrossRefGoogle Scholar
  62. [63]
    Schemidt, D., Levine, D., and Mungee, S., “Design of the TAO real-time object request broker,” Computer Communications, 21(4), 1998, pp. 294–324.CrossRefGoogle Scholar
  63. [64]
    Tibbitts, E, “CORBA: A common touch for distributed applications,” Data Communications, 24(7), 1995, pp. 77–75.Google Scholar
  64. [65]
    Sessions, R., “COM and DCOM,” Microsoft’s Vision for Distributed Objects, John Wiley & Sons, 1997.Google Scholar
  65. [66]
    Jennings, N. R., Mamdani, E. H., Laresgoiti, I., Perez J., and Corera, J., “GRATE: A general framework for cooperative problem solving” IEE-BCS Journal of Intelligent Systems Engineering, 1(2), 1992, pp. 102–114Google Scholar
  66. [67]
    Kusiak, A., and Huang, C. C., “Design of modular digital circuits for testability,” IEEE Transactions on Components, Packaging, and Manufizcturing Technology—Part C, 20(1), 1997, pp. 48–57.CrossRefGoogle Scholar
  67. [68]
    Ellram, L. M., “Supply chain management: the industrial organization prospective,” InternationalJournal of Physical Distribution and Logistics Management, 21(1), 1991, pp. 13–22.CrossRefGoogle Scholar
  68. [69]
    Lee, H. L., and Ng, S. M., “Introduction to special issue on global supply chain management,” Production and Operation Management, 6(3), 1997, pp. 191–192.CrossRefGoogle Scholar
  69. [70]
    Anumba, C. J., Ugwu, O. O., Newnham, L., and Thorpe, A., “Collaborative design ofstructures using intelligent agents,” Automation in Construction, 11(1), 2002, pp. 89–103.CrossRefGoogle Scholar
  70. [71]
    Tan, G. W, Hayes, C. C., and Shaw, M., “An intelligent-agent framework for concurrent product design and planning,” Engineering Management, IEEE Transactions, 43(3), 1996, pp. 297–306.CrossRefGoogle Scholar
  71. [72]
    Swaminathan, J., Smith, S., and Sadeh-Koniecpol, N., “Modeling supply chain dynamics: a multiagent approach,” Decision Sciences, 29(3), 1998, pp. 607–632.CrossRefGoogle Scholar
  72. [73]
    Mason-Jones, R., and Towill, D. R., “Total cycle time compression and the agile supply chain,” International Journal of Production Economics, 62(1), 1999, pp. 61–73.CrossRefGoogle Scholar
  73. [74]
    Lambert, D. M., and Cooper, M. C., “Issues in supply chain management-Don’t automate, obliterate,” Industrial Marketing Management, 29(1), 2000, pp. 65–83.CrossRefGoogle Scholar
  74. [75]
    Nadoli, G., and Biegel, J. E., “Intelligent manufacturing-simulation agents tool (IMSAT),” TOMACS, 3(1), 1993, pp. 42–65.zbMATHCrossRefGoogle Scholar
  75. [76]
    Seredynski, F., Swiecicka, A., and Zomaya, A. Y., “Discovery of parallel scheduling algorithms in cellular automata-based systems,” Proceedings oj the Workshop on Biologically Inspired Solutions to Parallel Processing Problems, San Francisco, 2001.Google Scholar
  76. [77]
    Hendler, J. and McGuinness, D. L., “The DARPA agent markup language,” IEEE Intelligent Systems, 16(6), 2000, pp. 67–73.Google Scholar
  77. [78]
    Inmon, W H., Zachman, J. A., and Geiger, J. G., Datastores, data warehousing, and the Zachman Framework: managing enterprise knowledge, McGraw-Hill Companies, Inc. NY, U.S.A., 1997.Google Scholar
  78. [79]
    Huang, C. C., and Kuo, C. M., “Transformation and searching of semi-structured knowledge in organizations,” to appear in the Journal of Knowledge management, 2002.Google Scholar
  79. [80]
    Breslin, J., and McGann, J., The Business Knowledge Repository, Quorum Books, Westport, Connecticut, 1988.Google Scholar
  80. [81]
    Sycara, K., “Multiagent systems,” Artificial Intelligence, 19(2), 1998, pp. 79–92.MathSciNetGoogle Scholar
  81. [82]
    Weiss, G., Multiagent Systems, MIT Press, Boston, 1999.Google Scholar
  82. [83]
    Wooldridge, M., and Jennings, N., “Intelligent agents-Theories, architectures and languages,” Lecture Notes in Artificial Intelligence, Springer-Verlag, Berlin, 890, 1995.Google Scholar
  83. [84]
    Schwartz, D. G., “On knowledge management in the internet age,” in: D. G. Schwartz, Divitini, M. and Brasethvik, T., Eds., Internet-Based Organizational Memory and Knowledge Management, Idea Group Publishing, Hershey, USA, 2000.Google Scholar
  84. [85]
    Kosoresow, A. P, “The efficiency of agents based systems”, Procedings of intelligent Autonomous Systems 3, Groen, F. C. A., Hirose, S., and Thorpe, C. E. Eds., Washington: lOS Press, 1993, pp. 551–560.Google Scholar
  85. [86]
    Andraski, J. C., “Foundations for a successful continuous replenishment programme,” International Journal Logistics Management, 5(1), 1994, pp. 1–8.CrossRefGoogle Scholar

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© Kluwer Academic Publishers 2005

Authors and Affiliations

  • Chun-Che Huang
    • 1
  1. 1.Department of Information ManagementNational Chi Nan UniversityTaiwanREPUBLIC OF CHINA

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