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2023 | OriginalPaper | Chapter

10. Design of a Simulation Environment for Training or Testing Algorithms to Solve the Workshop Sequencing Problem

Authors : Efraín Pérez-Cubero, Raúl Poler

Published in: Industry 4.0: The Power of Data

Publisher: Springer International Publishing

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Abstract

Simulation is a frequently used tool in engineering fields, in particular its use as a testing mechanism has been one of its longest-lived functions. In the current context, simulation has become an important component in the training of artificial intelligence algorithms. This paper presents an approach to develop a simulation environment for testing or training novel algorithms to solve the sequencing problem in jobshops. This environment has the novelty of being as close as possible to the reality of jobshops in terms of variability and dynamism. Specifically, it details the methodology to be followed, the minimum components or features to be included and the considerations to be considered to integrate it with a machine learning algorithm for training and suggests a possible approach to test results for statistical validation.

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Literature
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Metadata
Title
Design of a Simulation Environment for Training or Testing Algorithms to Solve the Workshop Sequencing Problem
Authors
Efraín Pérez-Cubero
Raúl Poler
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-29382-5_10

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