DARIO LANDA SILVA DARIO.LANDASILVA@NOTTINGHAM.AC.UK
Professor of Computational Optimisation
Towards an integrated workforce management system
Landa-Silva, Dario; Castillo, Arturo; Bowie, Leslie; Johnston, Hazel
Authors
Arturo Castillo
Leslie Bowie
Hazel Johnston
Abstract
We describe progress towards a workforce management system in which personnel scheduling is integrated with other important processes such as payroll processing, attendance and absence recording, staffing forecast and planning, etc. Our focus is on customeroriented sectors in which a considerable proportion of the available workforce is part-Time. First, we discuss the importance of having an integrated workforce management strategy and then, we address the particular aspects of shift pattern design and staff allocation using a fast-food restaurant and a leisure centre as examples.
Citation
Landa-Silva, D., Castillo, A., Bowie, L., & Johnston, H. (2010). Towards an integrated workforce management system
Conference Name | PATAT 2010 - Proceedings of the 8th International Conference on the Practice and Theory of Automated Timetabling |
---|---|
Start Date | Aug 10, 2010 |
End Date | Aug 13, 2010 |
Publication Date | Dec 1, 2010 |
Deposit Date | Feb 10, 2020 |
Pages | 519-523 |
Public URL | https://nottingham-repository.worktribe.com/output/3088126 |
Publisher URL | https://www.patatconference.org/patat2010/proceedings.html |
You might also like
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction
(2019)
Conference Proceeding
An agent based modelling approach for the office space allocation problem
(2018)
Conference Proceeding
Lookahead policy and genetic algorithm for solving nurse rostering problems
(2018)
Conference Proceeding
A genetic algorithm with composite chromosome for shift assignment of part-time employees
(2018)
Conference Proceeding
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: digital-library-support@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search