Abstract
Available-to-promise (ATP) decision, as a means for managing customer demands, production scheduling and the available resource, has three main components: order acceptance/selection, due date assignment and order scheduling. This research presents two decision support systems of hierarchical and monolithic models to integrate the three ATP components to maximise the profit, while satisfying customer orders over required time horizon and effective cost in a multi-site make-to-order supply chain scenario. Numerical examples are used to demonstrate the application of the models and their effectiveness. In order to improve the system efficiency, a branch-and-price approach is adopted to solve the proposed monolithic model. © 2012 Taylor & Francis.
| Original language | English |
|---|---|
| Pages (from-to) | 4253-4266 |
| Journal | International Journal of Production Research |
| Volume | 52 |
| Issue number | 14 |
| DOIs | |
| Publication status | Published - 2014 |
Research Keywords
- Available-to-promise
- Branch-and-price
- Make-to-order production
- Order promising
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