Schedulling Production Based on an Optimized Production Sequencer and Manufacturing Maps

Nuria Rosillo Guerrero, Nicolás Montés Sánchez, Antonio Falcó Montesinos, Eduardo Garcia Magraner, Judith Vizcaino Hilario

2023

Abstract

In this article, we present an innovative application of manufacturing maps, specifically combining Petri Nets and Miniterms. Our proposed algorithm enables the determination of an optimal manufacturing sequence based on real-time information from the manufacturing line. The primary objective of this algorithm is to minimize the disparity in cycle times between different models, aiming to minimize the duration of workstations being stopped or blocked. This optimization leads to a reduction in total production time, accompanied by various benefits such as energy savings and increased production. To validate our approach, we implemented the algorithm using manufacturing maps and applied it to the 8XY line—a multimodel welding line located at the Ford factory in Almussafes, Valencia. We conducted simulations using actual production data from the Ford factory, considering three different types of order: random, optimal, and unfavorable. The goal was to compare the production time for each sequence. The results obtained from the simulations demonstrated a significant time improvement when employing the optimal sequence, as outlined in the article. A comprehensive analysis of the three sequences studied is provided. As a future direction of this research, we intend to explore additional applications that can leverage manufacturing maps for production line optimization. For instance, we plan to investigate the determination of optimal sequences for anomalies, where improvements in the line to reduce cycle time could yield greater profitability. Moreover, we aim to explore how production lines can be dynamically rebalanced in real-time to achieve energy savings and other advantages. These potential extensions highlight the versatility and practical implications of manufacturing maps in enhancing production line efficiency.

Paper Citation

in Harvard Style

Rosillo Guerrero N., Montés Sánchez N., Falcó Montesinos A., Garcia Magraner E. and Vizcaino Hilario J. (2023). Schedulling Production Based on an Optimized Production Sequencer and Manufacturing Maps. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 273-280. DOI: 10.5220/0012155300003543

in Bibtex Style

@conference{icinco23,
author={Nuria Rosillo Guerrero and Nicolás Montés Sánchez and Antonio Falcó Montesinos and Eduardo Garcia Magraner and Judith Vizcaino Hilario},
title={Schedulling Production Based on an Optimized Production Sequencer and Manufacturing Maps},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2023},
pages={273-280},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012155300003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Schedulling Production Based on an Optimized Production Sequencer and Manufacturing Maps
SN - 978-989-758-670-5
AU - Rosillo Guerrero N.
AU - Montés Sánchez N.
AU - Falcó Montesinos A.
AU - Garcia Magraner E.
AU - Vizcaino Hilario J.
PY - 2023
SP - 273
EP - 280
DO - 10.5220/0012155300003543
PB - SciTePress