Ensemble model for order priority in make-to-order systems under supply chain environment

How to tackle the order production priority in production scheduling is a key issue for make-to-order enterprises. Some approaches of determining the order production priority have been proposed from different perspectives such as linear programming, entropy weight, analytic hierarchy process. Nevertheless, under the supply chain environment, the determination of order production priority becomes a complex problem, traditional theories and approaches have their limitations. Hence, in this paper, a new evaluation index system for the order production priority is given under supply chain environment, and an effective approach based on ensemble meta-model is presented to determine the order production priority. To demonstrate the performance of proposed method, three other techniques, radial basis function (RBF), Kriging and support vector regression (SVR) are considered. Their results are compared by using an available dataset in make-to-order mechanical and electrical products. The computational results show the validation and reliability of our proposed model and indicate that our presented approach can extend the methods for order production priority.