Available-to-promise model for a multi-site supply chain

Abstract

Available-to-promise (ATP) as a means for management of customer demands, production scheduling and the available resource has to make three main decisions: order acceptance/selection, due date assignment, and order scheduling. This research integrates the three decision-making mechanisms. A mixed integer nonlinear programming model of ATP problem is proposed to maximize the profit while satisfying customer orders at required time horizon over a multi-site supply chain scope. In order to improve efficiency, a branch-and-price approach is adopted to solve this model.