| In today's economy, to maintain a competitive advantage, manufacturers must be able to satisfy customer demand despite unique specifications or schedule constraints. Thus, the critical need for accurate real-time available-to-promise (ATP) and capable-to-promise (CTP) functionality has become apparent.; In this research, we present a model for real-time order promising in a mixed make-to-order, make-to-stock manufacturing environment. Consistent with the real-time nature of the problem, this model considers a snapshot view of the enterprise at the moment the customer order enters the system. Relevant values from potential fulfillment sources are passed to the ATP/CTP optimization engine. Following an instantaneous decision to accept or reject the order, the newly pegged resources are updated in the system. The flexibility in this modular structure allows the model to adapt to the most fragmented IT system or leverage the benefits of a highly integrated ERP system.; In order to explore the bounds of dynamic resource allocation and its effects on system performance we simulated a multi-period system. By considering various performance measures, we are able to describe a model and supporting parametric values for increased customer service using real-time order promising in different industry sectors. |
