Title: Dynamic order promising: real-time ATP

Authors: Anne G. Robinson, Robert C. Carlson

Addresses: Department of Management Science and Engineering, Stanford University, Stanford, California, 94305-4026, USA. ' Department of Management Science and Engineering, Stanford University, Stanford, California, 94305-4026, USA

Abstract: In order to satisfy customer demands despite unique specifications or schedule constraints, manufacturers have realised the critical need for real-time Available-To-Promise (ATP). In this paper, we present a model for real-time order promising in a mixed make-to-order, make-to-stock manufacturing environment. Each fulfilment source is considered as a separate module. 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 fulfilment sources are passed to the ATP optimisation 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. We found that order acceptance levels and costs are most sensitive to capacity utilisation. Other factors that showed significant effects in our real-time ATP environment were demand variability, number or orders per day and the magnitude of these orders.

Keywords: dynamic resource allocation; ERP; order promising; real-time ATP; supply chain optimisation.

DOI: 10.1504/IJISM.2007.012631

International Journal of Integrated Supply Management, 2007 Vol.3 No.3, pp.283 - 301

Published online: 28 Feb 2007 *

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