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Dynamic order promising: real-time ATP

Author

Listed:
  • Anne G. Robinson
  • Robert C. Carlson

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.

Suggested Citation

  • Anne G. Robinson & Robert C. Carlson, 2007. "Dynamic order promising: real-time ATP," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 3(3), pages 283-301.
  • Handle: RePEc:ids:ijisma:v:3:y:2007:i:3:p:283-301
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    Cited by:

    1. Gössinger, Ralf & Kalkowski, Sonja, 2015. "Robust order promising with anticipated customer response," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 529-542.
    2. Volling, Thomas & Spengler, Thomas S., 2011. "Modeling and simulation of order-driven planning policies in build-to-order automobile production," International Journal of Production Economics, Elsevier, vol. 131(1), pages 183-193, May.
    3. Long Gao & Susan H. Xu & Michael O. Ball, 2012. "Managing an Available-to-Promise Assembly System with Dynamic Short-Term Pseudo-Order Forecast," Management Science, INFORMS, vol. 58(4), pages 770-790, April.

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