In this volume, leading experts in mathematical manufacturing research and related fields review and update recent advances of mathematics in stochastic manufacturing systems and attempt to bridge the gap between theory and applications. The topics covered include scheduling and production planning, modeling of manufacturing systems, hierarchical control for large and complex systems, Markov chains, queueing networks, numerical methods for system approximations, singular perturbed systems, risk-sensitive control, stochastic optimization methods, discrete event systems, and statistical quality control.AMS-SIAM Summer Seminar in Applied Mathematics, June 17-22, 1996, Williamsburg, Virginia George Yin, Qing Zhang ... The obtained control policy gives the production and the maintenance planning and the setup scheduling decisions.
|Title||:||Mathematics of Stochastic Manufacturing Systems|
|Author||:||George Yin, Qing Zhang|
|Publisher||:||American Mathematical Soc. - 1997-01-01|