Proposed Solutions to the Tripper Car Positioning Problem

Felipe Novaes Caldas; Alexandre Xavier Martins

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Paper

Proposed Solutions to the Tripper Car Positioning Problem

Topics: Industrial Applications of Artificial Intelligence; Operational Research; Problem Solving; Scheduling and Planning

In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 344-352, 2018 , Funchal, Madeira, Portugal

Authors: Felipe Novaes Caldas ¹ and Alexandre Xavier Martins ²

Affiliations: ¹ Vale, Brazil ; ² Universidade Federal de Ouro Preto, Brazil

Keyword(s): Tripper Car, Combinatorial Optimization, Dynamic Programming.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Operational Research ; Problem Solving ; Scheduling and Planning

Abstract: The trippers are equipments often found in mineral processing plants. Their role is to distribute ore coming from past stages of process in a silo with several hoppers. Positioning trippers is a scheduling problem defined by position determination of the equipment through the bins and along time. The system silo-tripper was modeled as a combinatorial linear optimization program aiming to get the optimal tripper positioning. Two paradigms were used to find out an exact solution: mixed integer linear programming and dynamic programming.

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Paper citation in several formats:

Novaes Caldas, F. and Xavier Martins, A. (2018). Proposed Solutions to the Tripper Car Positioning Problem. In Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-298-1; ISSN 2184-4992, SciTePress, pages 344-352. DOI: 10.5220/0006806303440352

@conference{iceis18,
author={Felipe {Novaes Caldas}. and Alexandre {Xavier Martins}.},
title={Proposed Solutions to the Tripper Car Positioning Problem},
booktitle={Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2018},
pages={344-352},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006806303440352},
isbn={978-989-758-298-1},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 20th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Proposed Solutions to the Tripper Car Positioning Problem
SN - 978-989-758-298-1
IS - 2184-4992
AU - Novaes Caldas, F.
AU - Xavier Martins, A.
PY - 2018
SP - 344
EP - 352
DO - 10.5220/0006806303440352
PB - SciTePress