ML Anthology

Position Assignment on an Enterprise Level Using Combinatorial Optimization

Leonard Kinnaird-Heether, Chris Dorman
AAAI 2015 pp. 3904-3911
doi:10.1609/AAAI.V29I2.19046 /aaai/2015/kinnairdheether2015aaai-position/

Abstract

We developed a tool to solve a problem of position assignment within the IT Ford College Graduate program. This position assignment tool was first developed in 2012 and has been used successfully since then. The tool has since evolved for use with several other position assignment and related tasks with other similar programs in Ford Motor Company. This paper will describe the creation of this tool and how we have applied it, focusing on the need for developing such a tool, and how the continued development of this tool will benefit its users and the company.

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Cite

Text

Kinnaird-Heether and Dorman. "Position Assignment on an Enterprise Level Using Combinatorial Optimization." AAAI Conference on Artificial Intelligence, 2015. doi:10.1609/AAAI.V29I2.19046

Markdown

[Kinnaird-Heether and Dorman. "Position Assignment on an Enterprise Level Using Combinatorial Optimization." AAAI Conference on Artificial Intelligence, 2015.](https://mlanthology.org/aaai/2015/kinnairdheether2015aaai-position/) doi:10.1609/AAAI.V29I2.19046

BibTeX

@inproceedings{kinnairdheether2015aaai-position,
  title     = {{Position Assignment on an Enterprise Level Using Combinatorial Optimization}},
  author    = {Kinnaird-Heether, Leonard and Dorman, Chris},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {3904-3911},
  doi       = {10.1609/AAAI.V29I2.19046},
  url       = {https://mlanthology.org/aaai/2015/kinnairdheether2015aaai-position/}
}