@inproceedings{60c17c1067424a2cb881fc1416b70728,
title = "Using regression splines to parameterize composite dispatching rules",
abstract = "The successful implementation of composite dispatching rules depends on the values of their scaling parameters. This paper proposes a Multivariate Adaptive Regression Splines (MARS)- based method to estimate appropriate scaling parameter values for composite dispatching rules. With the flexible piecewise structure of multivariate adaptive regression splines, the proposed method is able to identify irregular local features of the true relationship between problem instance factors and appropriate scaling parameter values. Computational results of a case study show that the proposed method outperforms the existing methods in the literature in terms of the scheduling results.",
keywords = "Apparent tardiness cost with setup rule, Composite dispatching rules, Multivariate adaptive regression splines, Scaling parameters",
author = "Y. Chen and Douglas Montgomery and John Fowler and Pfund, {M. E.}",
note = "Copyright: Copyright 2014 Elsevier B.V., All rights reserved.; 43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 ; Conference date: 16-10-2013 Through 18-10-2013",
year = "2013",
language = "English (US)",
isbn = "9781629934372",
series = "Proceedings of International Conference on Computers and Industrial Engineering, CIE",
publisher = "Computers and Industrial Engineering",
pages = "163--177",
booktitle = "43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013",
}