Towards Real Time Bottleneck Detection using Miniterms

J. Llopis, J. Llopis, A. Lacasa, A. Lacasa, E. Garcia, N. Montés

2021

Abstract

The Sub-Bottleneck concept is introduced in this article for the first time. The literature defines the bottleneck concept through the cycle time in which, as a general rule, the slowest machine with longer cycle time, is classified as a bottleneck. Depending on the cycle time, the machine, the production line, the plant taken into account, etc., the literature has defined the concept of bottleneck in plant, bottleneck in production line, bottleneck in machine, etc. This article presents the Sub-Bottleneck concept for the first time. This concept uses the mini-term, a cycle time of each component that makes up a machine to determine which is the slowest and focus on future improvements that will optimize the efficiency of the production line. In order to validate this proposal, the mini-terms have been implemented in a production line at the Ford factory in Almussafes (Valencia, Spain), made up of 4 welding robots. The tests show the variable nature of the components and that the typical bottleneck studied in the literature does not have to coincide with the Sub-Bottleneck concept.

Paper Citation

in Harvard Style

Llopis J., Lacasa A., Garcia E. and Montés N. (2021). Towards Real Time Bottleneck Detection using Miniterms. In Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-522-7, pages 165-170. DOI: 10.5220/0010552901650170

in Bibtex Style

@conference{icinco21,
author={J. Llopis and A. Lacasa and E. Garcia and N. Montés},
title={Towards Real Time Bottleneck Detection using Miniterms},
booktitle={Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2021},
pages={165-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010552901650170},
isbn={978-989-758-522-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Towards Real Time Bottleneck Detection using Miniterms
SN - 978-989-758-522-7
AU - Llopis J.
AU - Lacasa A.
AU - Garcia E.
AU - Montés N.
PY - 2021
SP - 165
EP - 170
DO - 10.5220/0010552901650170