Rodrigo Lankaites Pinheiro
A development and integration framework for optimisation-based enterprise solutions
Pinheiro, Rodrigo Lankaites; Landa-Silva, Dario
Authors
Professor DARIO LANDA SILVA DARIO.LANDASILVA@NOTTINGHAM.AC.UK
PROFESSOR OF COMPUTATIONAL OPTIMISATION
Abstract
The operations research literature includes some papers describing collaborative work between researchers and industry. However, not much literature exists that outlines methodologies to guide the development of a decision support module and its integration into an existing information management system. Here we describe a framework to aid the collaborative development of an optimisation solution by researchers and information system developers. The proposed framework also helps in the effective integration of the information management system and the decision support module. The framework is divided into three main components: a data model, a data extractor and validator, and a solution visualisation and auxiliary platform. We also describe our experience and positive results from applying the proposed development and integration framework to a project involving the development on an optimisation-based solution for workforce scheduling and optimisation problems. We hope that this contribution would be particularly useful for less experienced researchers and practitioners who embark on a collaborative development of a decision support module based on optimisation techniques.
Citation
Pinheiro, R. L., & Landa-Silva, D. A development and integration framework for optimisation-based enterprise solutions. Presented at Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014)
Conference Name | Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014) |
---|---|
End Date | Mar 8, 2014 |
Publication Date | Mar 8, 2014 |
Deposit Date | Jan 22, 2016 |
Publicly Available Date | Jan 22, 2016 |
Peer Reviewed | Peer Reviewed |
Keywords | optimisation development framework, decision support systems, academia-industry collaboration, workforce scheduling and routing |
Public URL | https://nottingham-repository.worktribe.com/output/725496 |
Publisher URL | http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004833802330240 |
Additional Information | Published: Proceedings of the 3rd International Conference in Operations Research and Enterprise Systems. ISBN 9789897580178, pp. 233-240 |
Files
dls_icores2014_2.pdf
(1.5 Mb)
PDF
You might also like
Local-global methods for generalised solar irradiance forecasting
(2024)
Journal Article
UAV Path Planning for Area Coverage and Energy Consumption in Oil and Gas Exploration Environment
(2023)
Presentation / Conference Contribution
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction
(2019)
Presentation / Conference Contribution
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@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 © 2025
Advanced Search