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Authors: Felipe Novaes Caldas 1 and Alexandre Xavier Martins 2

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

ISBN: 978-989-758-298-1

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

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, 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},
}

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
AU - Novaes Caldas F.
AU - Xavier Martins A.
PY - 2018
SP - 344
EP - 352
DO - 10.5220/0006806303440352

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