Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
For newly designed or transformed business processes, accurately predicting business performances such as costs and customer services before actual deployment is very important. W...
The purpose of this paper is to investigate how discrete event simulation can support the growing need of information in the production system. Agility, one key to future competit...
Production scheduling, the problem of sequentially con guring a factory to meet forecasted demands, is a critical problem throughout the manufacturing industry. The requirement of...
Jeff G. Schneider, Justin A. Boyan, Andrew W. Moor...
Real-world networks often need to be designed under uncertainty, with only partial information and predictions of demand available at the outset of the design process. The field ...