A game-theoretic control approach for job shops in the presence of disruptions Academic Article uri icon


  • A methodology inspired by a game-theoretic view of the on-line control problem for job-shops is developed which allows the use of static off-line schedules in uncertain environments, and the explicit incorporation of deterministic and stochastic information concerning future disturbances. A discrete event dynamic system representation is used to formulate the control problem. The control objectives are to minimize expected makespan and deviations from an off-line schedule. Computational tractability is achieved through a graph-theoretic decomposition of the job-shop scheduling problem, the development of fast rescheduling heuristics, and efficient sampling of future events. A heuristic search algorithm is developed for problem resolution. Experimental results show that the methodology significantly outperforms existing control methods such as 'total rescheduling' and 'right-shift.' Most importantly, the control methodology demonstrates consistent performance and small CPU time requirements throughout the tests. 1994 Taylor & Francis Group, LLC.

published proceedings

  • International Journal of Production Research

author list (cited authors)

  • LEON, V. J., WU, S. D., & STORER, R. H.

citation count

  • 21

complete list of authors


publication date

  • June 1994