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.

Original languageEnglish (US)
Title of host publication43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
PublisherCurran Associates Inc.
Pages163-177
Number of pages15
ISBN (Print)9781629934372
StatePublished - Jan 1 2013
Event43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 - Hong Kong, Hong Kong
Duration: Oct 16 2013Oct 18 2013

Publication series

NameProceedings of International Conference on Computers and Industrial Engineering, CIE
Volume1
ISSN (Electronic)2164-8689

Other

Other43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013
CountryHong Kong
CityHong Kong
Period10/16/1310/18/13

Keywords

  • Apparent tardiness cost with setup rule
  • Composite dispatching rules
  • Multivariate adaptive regression splines
  • Scaling parameters

ASJC Scopus subject areas

  • Computer Science(all)
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Chen, Y., Montgomery, D., Fowler, J., & Pfund, M. E. (2013). Using regression splines to parameterize composite dispatching rules. In 43rd International Conference on Computers and Industrial Engineering 2013, CIE 2013 (pp. 163-177). (Proceedings of International Conference on Computers and Industrial Engineering, CIE; Vol. 1). Curran Associates Inc..