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Authors: Ricardo Soto 1 ; Broderick Crawford 2 ; Boris Almonacid 1 ; Franklin Johnson 3 and Eduardo Olguín 4

Affiliations: 1 Pontificia Universidad Católica de Valparaíso, Chile ; 2 Pontificia Universidad Católica de Valparaíso and Universidad Finis Terrae, Chile ; 3 Pontificia Universidad Católica de Valparaíso and Universidad de Playa Ancha, Chile ; 4 Universidad San Sebastián, Chile

Keyword(s): Intelligent Problem Solving, Decision Support Systems, Optimization.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Communication Networking ; Decision Support Systems ; Enterprise Software Technologies ; Intelligent Problem Solving ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Performance Evaluation ; Software Engineering ; Software Project Management ; Symbolic Systems ; Telecommunications

Abstract: Open pit mining problems aims at correctly identifying the set of blocks to be mined in order to maximize the net present value of the extracted ore. Different constraints can be involved and may vary the difficulty of the problem. In particular, the Open-Pit Long-Term Production Planning Problem is one of the variants that better models the real mining operation. It considers, among others, limited processing plant and mining capacity as well as slope and grade blending constraints. During the last thirty years, different techniques have been proposed to solve the multiple variants of the open pit mining problem; however, the resolution via constraint programming has not been reported yet. In this paper, we present a performance evaluation of seven constraint programming solvers for the open pit mining long-term scheduling problem. We illustrate interesting and comparative results on a set of varied open pit mining instances.

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Paper citation in several formats:
Soto, R.; Crawford, B.; Almonacid, B.; Johnson, F. and Olguín, E. (2014). Solving Open-Pit Long-Term Production Planning Problems with Constraint Programming - A Performance Evaluation. In Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA; ISBN 978-989-758-036-9, SciTePress, pages 70-77. DOI: 10.5220/0005093900700077

@conference{icsoft-ea14,
author={Ricardo Soto. and Broderick Crawford. and Boris Almonacid. and Franklin Johnson. and Eduardo Olguín.},
title={Solving Open-Pit Long-Term Production Planning Problems with Constraint Programming - A Performance Evaluation},
booktitle={Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA},
year={2014},
pages={70-77},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005093900700077},
isbn={978-989-758-036-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Software Engineering and Applications (ICSOFT 2014) - ICSOFT-EA
TI - Solving Open-Pit Long-Term Production Planning Problems with Constraint Programming - A Performance Evaluation
SN - 978-989-758-036-9
AU - Soto, R.
AU - Crawford, B.
AU - Almonacid, B.
AU - Johnson, F.
AU - Olguín, E.
PY - 2014
SP - 70
EP - 77
DO - 10.5220/0005093900700077
PB - SciTePress

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