Exploitation Efficiency System of Crane based on Risk Management

Janusz Szpytko, Yorlandys Salgado Duarte

2020

Abstract

The subject of the paper is the exploitation efficiency system of overhead type cranes operating in critical systems, results implementation the control risk management and maintenance scheduling processes. The study case of the paper is a hot rolling mills system of a steel plant with critical overhead cranes operating with hazard conditions and continuous operation. The model output is an optimal overhead cranes maintenance scheduling distribution minimizing the production line risk stopped and the model input is a digital database structure with historical information related with the operation, maintenance, logistics and management process of the overhead cranes in the hot rolling mills plant. The transfer function is a stochastic non-linear optimization model with bounded constraint that assess a risk global-system indicator based on Monte Carlo simulations.

Paper Citation

in Harvard Style

Szpytko J. and Duarte Y. (2020). Exploitation Efficiency System of Crane based on Risk Management.In Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL, ISBN 978-989-758-476-3, pages 24-31. DOI: 10.5220/0010123200240031

in Bibtex Style

@conference{in4pl20,
author={Janusz Szpytko and Yorlandys Duarte},
title={Exploitation Efficiency System of Crane based on Risk Management},
booktitle={Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,},
year={2020},
pages={24-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010123200240031},
isbn={978-989-758-476-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics - Volume 1: IN4PL,
TI - Exploitation Efficiency System of Crane based on Risk Management
SN - 978-989-758-476-3
AU - Szpytko J.
AU - Duarte Y.
PY - 2020
SP - 24
EP - 31
DO - 10.5220/0010123200240031