Design with Collaborative Control Theory

  • Shimon Y. NofEmail author
  • Jose Ceroni
  • Wootae Jeong
  • Mohsen Moghaddam
Part of the Automation, Collaboration, & E-Services book series (ACES, volume 2)


Recent developments in the theoretical foundations of e-Work, the four wheels and the corresponding 15 e-Dimensions, are the major enablers of emerging e- Business and e-Service. In line with the need for decentralization of work, emerging e-Systems are increasingly influenced by e-Work and applications of agent-based systems. The opportunities provided by e-Work, however, are always associated with emerging challenges and complexities, e.g., the scalability of workflow, information, and task overload. The intrinsic advantages, opportunities, and sustainability of the emerging e-Systems and e-Activities will not materialize without effective design for e-Work through collaboration engineering. The objective of this chapter is to introduce and discuss several design principles of collaborative control theory (CCT), and their application for better understanding and addressing these emerging requirements and challenges. Implementation of the CCT design principles, in turn, requires efficient design of effective software agents and programming frameworks, enabling the automation and integration of flexible, adaptive, responsive and heterogeneous e-Systems. These design issues will be addressed further in Chapter 4, and software engineering design and programming-oriented implementation of collaborative e-Work will be discussed in Chapter 5 in detail.


Cluster Head Task Graph Automate Guide Vehicle Collaborative Network Collaboration Engineering 
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. Albers, M., Still, B.: Usability of Complex Information Systems: Evaluation of User Interaction. CREC Press (2012)Google Scholar
  2. Baecker, R.M.: Readings in Groupware and Computer-Supported Cooperative Work. Morgan Kaufmann Publishers, San Francisco (1993)Google Scholar
  3. Boy, G.A.: Orchestrating Human-Centered Design. Springer (2013)Google Scholar
  4. Ceroni, J.A., Nof, S.Y.: A workflow model based on parallelism for distributed organizations. Journal of Intelligent Manufacturing 13, 439–461 (2002)CrossRefGoogle Scholar
  5. Chen, X.W., Nof, S.Y.: Error detection and prediction algorithms: Application in robotics. Journal of Intelligent Robotic Systems 48(2), 2–225 (2007)CrossRefGoogle Scholar
  6. Chituc, C.M., Nof, S.Y.: The Join/Leave/Remain (JLR) decision in collaborative networked organizations. Computers & Industrial Engineering 53, 173–195 (2007)CrossRefGoogle Scholar
  7. Cohen, S., De Haan, U., Dori, D.: A Software System Development Life Cycle Model for Improved Stakeholders’ Communication and Collaboration. International Journal of Computers, Communications & Control 5(1), 20–41 (2010)Google Scholar
  8. de Freitas, E.P., Larsson, T., Heimfarth, T., Wagner, F.R., Allgayer, R.S., Pereira, C.E., Ferreira, A.M.: Coordinating Aerial Robots and Unattended Ground Sensors for Intelligent Surveillance Systems. International Journal of Computers, Communications & Control 5(1), 52–70 (2010)Google Scholar
  9. Isenberg, P., Elmqvist, N., Scholtz, J., Cernea, D., Ma, K.L., Hagen, H.: Collaborative Visualization: Definition, Challenges, and Research Agenda. Information Visualization 10(4), 310–326 (2011)CrossRefGoogle Scholar
  10. Hadeli, K.: Bio-inspired multi-agent manufacturing control systems with social behavior. Ph.D. Thesis (Katholieke Universiteit Leuven, Leuven) (2006)Google Scholar
  11. Huang, C.Y., Nof, S.Y.: Formation of Autonomous Agent Networks for Manufacturing Systems. International Journal of Production Research 38(3), 607–624 (2000a)zbMATHCrossRefGoogle Scholar
  12. Huang, C.Y., Nof, S.Y.: Autonomy and Viability – Measures for Agent-Based Manufacturing Systems. International Journal of Production Research 38(17), 4129–4148 (2000b)CrossRefGoogle Scholar
  13. Huang, C.Y., Yang, T.T., Chen, W.L., Nof, S.Y.: Reference Architecture for Collaborative Design. International Journal of Computers, Communications & Control 5(1), 71–90 (2010)Google Scholar
  14. Huang, C.Y., Ceroni, J.A., Nof, S.Y.: Agility of Networked Enterprises - Parallelism, Error Recovery and Conflict Resolution. Computers in Industry 42(2-3), 275–287 (2000)CrossRefGoogle Scholar
  15. Huang, C.Y., Nof, S.Y.: Evaluation of Agent-Based Manufacturing Systems Based on a Parallel Simulator. Computers and IE 43(3), 529–552 (2002)Google Scholar
  16. Keel, P.E.: Collaborative visual analytics: Inferring from the spatial organization and collaborative use of information. In: IEEE Symposium on Visual Analytics Science and Technology, pp. 137–144 (2006)Google Scholar
  17. Ko, H.S., Nof, S.Y.: Editorial – Special Issue on Collaboration Support Systems (CSS). International Journal of Computers, Communications & Control 5(1), 6–7 (2010)Google Scholar
  18. Ma, K.-L., Wang, K.-L.: Social-Aware Collaborative Visualization for Large Scientific Projects. In: Proceedings of the IEEE International Symposium on Collaborative Technologies and Systems, Los Alamitos, CA, USA, pp. 190–195 (2008)Google Scholar
  19. Nof, S.Y.: Robot Ergonomics: Optimizing Robot Work. In: Nof, S.Y. (ed.) Handbook of Industrial Robotics, 2nd edn., ch. 32, pp. 603–644. John Wiley & Sons, New York (1999)Google Scholar
  20. Nof, S.Y.: Collaborative control theory for e-Work, e-Production, and e-Service. Annual Reviews in Control 31(2), 281–292 (2007a)CrossRefGoogle Scholar
  21. Nof, S.Y.: Availability, integrability, and dependability – what are the limits in production and logistics (Plenary). In: Proceedings of MCPL, Sibiu, Romania (September 2007b)Google Scholar
  22. Nof, S.Y., Huang, C.Y.: Enterprise Agility: A View from the PRISM Lab. International Journal of Agile Management Systems 1(1), 51–59 (1999)CrossRefGoogle Scholar
  23. Ozsoy, E.: Co-Insights for Multi-Criteria Decision Making. M.S. Thesis (Purdue University, West Lafayette) (2011)Google Scholar
  24. Rajan, V.N., Nof, S.Y.: Cooperation requirement planning (CRP) for multi-processors: optimal assignment and execution planning. Journal of Intelligent Robotic Systems 15, 419–435 (1996)CrossRefGoogle Scholar
  25. Thomas, R.W., Friend, D.H., DaSilva, L.A., MacKenzie, A.B.: Cognitive Networks: Adaptation and Learning to Achieve End-to-End Performance Objectives. IEEE Communications Magazine (2006)Google Scholar
  26. Velásquez, J.D., Nof, S.Y.: A best-matching protocol for collaborative e-Work and e-Manufacturing. International Journal of Computer Integrated Manufacturing 21(8), 943–956 (2008)CrossRefGoogle Scholar
  27. Wachs, J.P.: Gaze, Posture and Gesture Recognition to Minimize Focus Shifts for Intelligent Operating Rooms in a Collaborative Support System. International Journal of Computers, Communications & Control 5(1), 106–124 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Shimon Y. Nof
    • 1
    Email author
  • Jose Ceroni
    • 2
  • Wootae Jeong
    • 3
  • Mohsen Moghaddam
    • 4
  1. 1.PRISM Center & School of IEPurdue University West LafayetteUSA
  2. 2.School of Industrial Engineering Catholic University of ValparaísoValparaísoChile
  3. 3.Korea Railroad Research Institute UiwangRepublic of South Korea
  4. 4.PRISM Center & School of IE Purdue UniversityWest LafayetteUSA

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