A decentralised conflict and error detection and prediction model

The objective of this research is to study the performance of a newly developed decentralised conflict and error detection and prediction model (CEDPM) over different networks. In the CEDPM, conflict and error (CE) detection and prediction agents are deployed at each collaborative unit to detect and predict CEs, and exchange information with the support of a CE detection and prediction protocol. Two metrics, detection and prediction time and conflict severity, are defined to evaluate CEDPM and CE propagation, respectively, for linear, divergence, convergence, and parallel coordination networks in which different task dependences exist among collaborative units. Experiment results show that the CEDPM performs significantly better for networks with parallel activities. The conflict severity reflects network complexity and increases as the dependence between collaborative units increases. The findings are useful for the design of emerging prognostics systems-of-systems.

[1]  Gale E. Nevill,et al.  Conflict Cause Identification in Web-Based Concurrent Engineering Design System , 2002, Concurr. Eng. Res. Appl..

[2]  Jacob A. Abraham,et al.  Evaluation of integrated system-level checks for on-line error detection , 1996, Proceedings of IEEE International Computer Performance and Dependability Symposium.

[3]  Pornthep Anussornnitisarn.  Design of active middleware protocols for coordination of distributed resources , 2003 .

[4]  Ilkka Salo,et al.  Latency and mode of error detection in a process industry , 2001, Reliab. Eng. Syst. Saf..

[5]  Masayuki Matsui,et al.  Communication-based coordination modeling in distributed manufacturing systems , 1999 .

[6]  Nico Roos,et al.  A protocol for multi-agent diagnosis with spatially distributed knowledge , 2003, AAMAS '03.

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

[8]  Mooyoung Jung,et al.  Conflict detection and resolution for goal formation in the fractal manufacturing system , 2006 .

[9]  L. Camarinha-Matos,et al.  A machine learning approach to error detection and recovery in assembly , 1995, Proceedings 1995 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human Robot Interaction and Cooperative Robots.

[10]  C. L. Yang,et al.  DESIGN OF A PRODUCTION CONFLICT AND ERROR DETECTION MODEL WITH ACTIVE PROTOCOLS AND AGENTS , 2005 .

[11]  Jose Ceroni,et al.  Conflict detection and resolution in distributed design , 2003 .

[12]  Srini Ramaswamy,et al.  Conflict detection during plan integration for multi-agent systems , 2001, IEEE Trans. Syst. Man Cybern. Part B.

[13]  Shimon Y. Nof,et al.  e-Work: the challenge of the next generation ERP systems , 2003 .

[14]  Mark Klein,et al.  A Knowledge-based Approach to Handling Exceptions in Workflow Systems , 2011, Computer Supported Cooperative Work (CSCW).

[15]  Andreas Steininger,et al.  On finding an optimal combination of error detection mechanisms based on results of fault injection experiments , 1997, Proceedings of IEEE 27th International Symposium on Fault Tolerant Computing.

[16]  Henri Pierreval,et al.  Facility layout problems: A survey , 2007, Annu. Rev. Control..

[17]  Mark Klein,et al.  Detecting and resolving conflicts among cooperating human and machine-based design agents , 1992, Artif. Intell. Eng..

[18]  Donald Watts Davies,et al.  Communication Networks for Computers , 1973 .

[19]  Shimon Y. Nof,et al.  On the structure and logic of typical material flow systems , 1982 .

[20]  Shimon Y. Nof,et al.  2 Design of a Task Planning Conflict and Error Detection System with Active Protocols and Agents , 2007 .

[21]  Xiang Li,et al.  Conflict management in closely coupled collaborative design system , 2002, Int. J. Comput. Integr. Manuf..

[22]  H. Najjari,et al.  Integrated sensor-based control system for a flexible assembly cell , 1997 .

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

[24]  Shimon Y. Nof,et al.  ANALYSIS, DETECTION POLICY, AND PERFORMANCE MEASURES OF DETECTING TASK PLANNING ERRORS AND CONFLICTS , 2007 .

[25]  Joao Antonio Pereira,et al.  Linked: The new science of networks , 2002 .

[26]  Donatella Sciuto,et al.  Reliability properties assessment at system level: a co-design framework , 2001, Proceedings Seventh International On-Line Testing Workshop.

[27]  Gustavo Alonso,et al.  Exception Handling in Workflow Management Systems , 2000, IEEE Trans. Software Eng..

[28]  Shimon Y. Nof,et al.  Computer-supported conflict resolution for collaborative facility designers , 2003 .

[29]  Amit P. Sheth,et al.  Exception Handling in Workflow Systems , 2004, Applied Intelligence.

[30]  Barbara D. Klein.  How do actuaries use data containing errors?: Models of error detection and error correction , 1997 .

[31]  Shimon Y. Nof,et al.  A formalism to structure and parallelize the integration of cooperative engineering design tasks , 1997 .

[32]  Mark Klein,et al.  Towards a Systematic Repository of Knowledge about Managing Collaborative Design Conflicts , 2000, AID.

[33]  Jean C. Walrand.  Communication networks - a first course , 1991 .

[34]  Shimon Y. Nof,et al.  Design of effective e-Work: review of models, tools, and emerging challenges , 2003 .

[35]  Michael J. Shaw,et al.  An intelligent-agent framework for concurrent product design and planning , 1996 .

[36]  Kevin Crowston,et al.  Tools for Inventing Organizations: Toward a Handbook of Organizational Processes , 1999 .

[37]  Houari A. Sahraoui,et al.  A metric based technique for design flaws detection and correction , 1999, 14th IEEE International Conference on Automated Software Engineering.