A development and integration framework for optimisation-based enterprise solutions

Pinheiro, Rodrigo Lankaites and Landa-Silva, Dario (2014) A development and integration framework for optimisation-based enterprise solutions. In: Proceedings of the 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014), 06-08 March 2014, Angers, France.

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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.

Item Type: Conference or Workshop Item (Paper)
RIS ID: https://nottingham-repository.worktribe.com/output/725496
Additional Information: Published: Proceedings of the 3rd International Conference in Operations Research and Enterprise Systems. ISBN 9789897580178, pp. 233-240
Keywords: optimisation development framework, decision support systems, academia-industry collaboration, workforce scheduling and routing
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Landa-Silva, Dario
Date Deposited: 22 Jan 2016 09:31
Last Modified: 04 May 2020 16:45
URI: https://eprints.nottingham.ac.uk/id/eprint/31331

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