University of Maryland

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Computer Integrated Manufacturing Laboratory

Rescheduling Manufacturing Systems

Research Team


In many complex manufacturing facilities, centralized procedures are used to assign tasks to resources and schedule those tasks. Researchers have developed a wide variety of procedures and heuristics for solving these scheduling problems. In a dynamic manufacturing system, rescheduling must occur as new jobs arrive. Rescheduling assigns these jobs to resources and schedules their processing. Rescheduling also helps the shop recover when unexpected events disrupt operations, and the previous schedule becomes infeasible.

This research is studying rescheduling systems and how the timing and frequency of rescheduling affects the performance of the manufacturing system. Frequent rescheduling should create better schedules that use resources more productively. However, unnecessary rescheduling activities waste time and effort.


  1. Vieira, G.E., J.W. Herrmann, and E. Lin, Analytical models to predict manufacturing system performance under different rescheduling strategies, International Journal of Production Research, Volume 38, Number 8, pages 1899-1915, 2000.
  2. Vieira, G.E., J.W. Herrmann, and E. Lin, Predicting the Performance of Rescheduling Strategies for Parallel Machine Systems, Journal of Manufacturing Systems, Volume 19, Number 4, pages 256-266, 2000.
  3. Herrmann, Jeffrey W., Improving Manufacturing System Performance through Rescheduling, June 21, 2001.
  4. Vieira, G.E., J.W. Herrmann, and E. Lin, Rescheduling manufacturing systems: a framework of strategies, policies, and methods, Journal of Scheduling, Volume 6, Number 1, pages 35-58, 2003.
  5. Herrmann, Jeffrey W., and Guruprasad Pundoor, Rescheduling Frequency and Supply Chain Performance, Technical Report 2002-50, Institute for Systems Research, University of Maryland, College Park, 2002.
  6. Pundoor, Guruprasad, Supply chain simulation models for evaluating the impact of rescheduling frequencies, MS 2002-9, Institute for Systems Research, University of Maryland, 2002.

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Last updated on April 25, 2003, by Jeffrey W. Herrmann.