Design with Collaborative Control Theory

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.

[1]  Carlos Eduardo Pereira,et al.  Coordinating Aerial Robots and Unattended Ground Sensors for Intelligent Surveillance Systems , 2010, Int. J. Comput. Commun. Control.

[2]  Shimon Y. Nof,et al.  A best-matching protocol for collaborative e-work and e-manufacturing , 2008, Int. J. Comput. Integr. Manuf..

[3]  Jacques Wainer,et al.  Groupware and computer supported cooperative work , 1999 .

[4]  Hadeli Bio-Inspired Multi-Agent Manufacturing Control Systems with Social Behaviour (Biologisch geïnspireerd multi-agent fabrieksbesturing met sociaal gedrag) , 2006 .

[5]  Hans Hagen,et al.  Collaborative visualization: Definition, challenges, and research agenda , 2011, Inf. Vis..

[6]  Allen B. MacKenzie,et al.  Cognitive networks: adaptation and learning to achieve end-to-end performance objectives , 2006, IEEE Communications Magazine.

[7]  Shimon Y. Nof,et al.  Evaluation of agent-based manufacturing systems based on a parallel simulator , 2002 .

[8]  Shimon Y. Nof,et al.  Error Detection and Prediction Algorithms: Application in Robotics , 2007, J. Intell. Robotic Syst..

[9]  Dov Dori,et al.  A Software System Development Life Cycle Model for Improved Stakeholders' Communication and Collaboration , 2010, Int. J. Comput. Commun. Control.

[10]  Shimon Y. Nof,et al.  Enterprise agility: a view from the PRISM lab , 1999 .

[11]  Guy A. Boy,et al.  Orchestrating Human-Centered Design , 2012 .

[12]  Michael J. Albers,et al.  Usability of Complex Information Systems: Evaluation of User Interaction , 2010 .

[13]  Kwan-Liu Ma,et al.  Social-aware collaborative visualization for large scientific projects , 2008, 2008 International Symposium on Collaborative Technologies and Systems.

[14]  Shimon Y. Nof AVAILABILITY, INTEGRABILITY, AND DEPENDABILITY – WHAT ARE THE LIMITS IN PRODUCTION AND LOGISTICS? , 2007 .

[15]  Shimon Y. Nof,et al.  Reference Architecture for Collaborative Design , 2010, Int. J. Comput. Commun. Control.

[16]  Shimon Y. Nof,et al.  Autonomy and viability-measures for agent-based manufacturing systems , 2000 .

[17]  Paul E. Keel Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information , 2006, 2006 IEEE Symposium On Visual Analytics Science And Technology.

[18]  Engin Ozsoy Co-insights for multi-criteria decision making , 2011 .

[19]  Shimon Y. Nof,et al.  Cooperation Requirements Planning (CRP) for multiprocessors: Optimal assignment and execution planning , 1996, J. Intell. Robotic Syst..

[20]  Shimon Y. Nof,et al.  Formation of autonomous agent networks for manufacturing systems , 2000 .

[21]  Shimon Y. Nof,et al.  A workflow model based on parallelism for distributed organizations , 2002, J. Intell. Manuf..

[22]  Shimon Y. Nof,et al.  The Join/Leave/Remain (JLR) decision in collaborative networked organizations , 2007, Comput. Ind. Eng..

[23]  Shimon Y. Nof,et al.  Agility of networked enterprises—parallelism, error recovery and conflict resolution , 2000 .

[24]  Juan P. Wachs Gaze, Posture and Gesture Recognition to Minimize Focus Shifts for Intelligent Operating Rooms in a Collaborative Support System , 2010, Int. J. Comput. Commun. Control.

[25]  Shimon Y. Nof Robot Ergonomics: Optimizing Robot Work , 2007 .

[26]  S. Y. Nof,et al.  Editorial - Special Issue on Collaboration Support Systems (CSS) , 2010, Int. J. Comput. Commun. Control.

[27]  Shimon Y. Nof Collaborative control theory for e-Work, e-Production, and e-Service , 2007, Annu. Rev. Control..