Optimized workforce scheduling in bus transit companies

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

doi:10.1109/GCIS.2013.55

Optimized workforce scheduling in bus transit companies

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings - 2013 4th Global Congress on Intelligent Systems, GCIS 2013
Publisher	IEEE Computer Society
Pages	301-305
Number of pages	5
DOIs	https://doi.org/10.1109/GCIS.2013.55
Publication status	Published - 2013
Externally published	Yes
Event	2013 4th Global Congress on Intelligent Systems, GCIS 2013 - Hong Kong, China Duration: Dec 3 2013 → Dec 4 2013

Conference

Conference	2013 4th Global Congress on Intelligent Systems, GCIS 2013
Country/Territory	China
City	Hong Kong
Period	12/3/13 → 12/4/13

Keywords

metaheuristics
PEAST-algorithm
real-world scheduling
workforce scheduling

ASJC Scopus subject areas

Artificial Intelligence
Information Systems

Access to Document

10.1109/GCIS.2013.55

Cite this

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title = "Optimized workforce scheduling in bus transit companies",

abstract = "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.",

keywords = "metaheuristics, PEAST-algorithm, real-world scheduling, workforce scheduling",

author = "Kimmo Nurmi and Jari Kyngas and Zhuang, {Zheng Yun} and Nico Kyngas",

year = "2013",

doi = "10.1109/GCIS.2013.55",

language = "English",

pages = "301--305",

booktitle = "Proceedings - 2013 4th Global Congress on Intelligent Systems, GCIS 2013",

publisher = "IEEE Computer Society",

address = "United States",

note = "2013 4th Global Congress on Intelligent Systems, GCIS 2013 ; Conference date: 03-12-2013 Through 04-12-2013",

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TY - GEN

T1 - Optimized workforce scheduling in bus transit companies

AU - Nurmi, Kimmo

AU - Kyngas, Jari

AU - Zhuang, Zheng Yun

AU - Kyngas, Nico

PY - 2013

Y1 - 2013

N2 - 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.

AB - 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.

KW - metaheuristics

KW - PEAST-algorithm

KW - real-world scheduling

KW - workforce scheduling

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U2 - 10.1109/GCIS.2013.55

DO - 10.1109/GCIS.2013.55

M3 - Conference contribution

AN - SCOPUS:84901300755

SP - 301

EP - 305

BT - Proceedings - 2013 4th Global Congress on Intelligent Systems, GCIS 2013

PB - IEEE Computer Society

T2 - 2013 4th Global Congress on Intelligent Systems, GCIS 2013

Y2 - 3 December 2013 through 4 December 2013

ER -

Optimized workforce scheduling in bus transit companies

Abstract

Conference

Keywords

ASJC Scopus subject areas

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