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PRISM Center
 

PGRN

PRISM Global Research Network

(est. 2001)

 

Current Research and updates from PRISM Center and Affiliates

PRISM30 Celebration
ICPR 26 Plenary: Challenges and Contributions to Intelligence and Transformative Production
Frontiers for Future Work and Factories
2020 - Celebrating Purdue College of Engineering 120 years
Agricultural Robotic Systems
Best Matching Protocol
Collaborative Decision Networks
Conflict & Error Prevention and
Detection
More...
 

Conflict & Error Prevention and Detection over e-Work Networks

Objective

  • Define conflict and error (CE) states in an e-Work network
  • Develop prevention and detection (CEPD) logic
  • Identify and illustrate collaboration and validate CEPD logic with four e-Work topologies

Methodology

  1. Sixteen CE states
  2. Six types of e-collaboration
  3. Centralized/decentralized CEPD logic
  4. Formalized with agent-oriented, constraint-based Petri Nets
  5. Validation with four e-Work topologies

Recent organizations involved

IN 21stC S&T, TAP Companies, General Motors, Kimberly-Clark Corp.

Sample Publications

Chen, X.W., and Nof, S. Y. "A decentralized conflict and error detection and prediction model," International Journal of Production Research, vol. 47, no. 16, 2009.

Chen, X. W. and Nof, S. Y., 2007, "Error detection and prediction algorithms: application in robotics," Journal of Intelligent and Robotic Systems, 48(2), pp. 225-252.

Chen, X. W. and Nof, S. Y., 2007, "Prognostics and diagnostics of conflicts and errors over e-Work networks," in Proceedings of the 19th International Conference on Production Research, Chile.

Chen, X. W. and Nof, S. Y., 2007, "Prognostics and diagnostics of conflicts and errors in a supply network," in Proceedings of the IFAC Workshops on Intelligent Assembly and Disassembly (IAD'07) and Intelligent Manufacturing Systems (IMS'07), Spain.

Contact

Hao Zhong (zhong11 @ purdue . edu)

 

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