Optimized workforce scheduling in bus transit companies

Kimmo Nurmi, Jari Kyngas, Zheng Yun Zhuang, Nico Kyngas

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

Workforce scheduling has become increasingly important for both the public sector and private companies. Optimized shifts and rosters lower costs, utilize resources more effectively and ensure fairer workloads and distribution of shifts. This paper presents our work with workforce scheduling in bus transit companies. We present the workforce scheduling process in these companies and give an example of an optimized real-world staff rostering instance. We also give an outline of the PEAST algorithm which we use to tackle workforce scheduling problems. The algorithm has been successfully used to solve workforce scheduling problems in Finnish bus transit companies. The algorithm has been integrated into market-leading workforce management software in Finland.
原文英語
主出版物標題Proceedings - 2013 4th Global Congress on Intelligent Systems, GCIS 2013
發行者IEEE Computer Society
頁面301-305
頁數5
DOIs
出版狀態已發佈 - 2013
對外發佈Yes
事件2013 4th Global Congress on Intelligent Systems, GCIS 2013 - Hong Kong, 中国
持續時間: 十二月 3 2013十二月 4 2013

會議

會議2013 4th Global Congress on Intelligent Systems, GCIS 2013
國家中国
城市Hong Kong
期間12/3/1312/4/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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