Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory

Fuente: arXiv
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Autori principali: Vinetti, Martina, Fabian, Martin
Natura: Preprint
Pubblicazione: 2025
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author Vinetti, Martina
Fabian, Martin
author_facet Vinetti, Martina
Fabian, Martin
contents Modern assembly processes require flexibility and adaptability to handle increasing product variety and customization. Traditional assembly planning methods often prioritize finding an optimal assembly sequence, overlooking the requirements of contemporary manufacturing. This work uses Supervisory Control Theory to systematically generate all feasible assembly sequences while ensuring compliance with precedence and process constraints. By synthesizing a controllable, non-blocking, and minimally restrictive supervisor, the proposed method guarantees that only valid sequences are allowed, balancing flexibility and constraint enforcement. The obtained sequences can serve as a basis for further optimization or exception management, improving responsiveness to disruptions.
format Preprint
id arxiv_https___arxiv_org_abs_2503_05285
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory
Vinetti, Martina
Fabian, Martin
Systems and Control
Modern assembly processes require flexibility and adaptability to handle increasing product variety and customization. Traditional assembly planning methods often prioritize finding an optimal assembly sequence, overlooking the requirements of contemporary manufacturing. This work uses Supervisory Control Theory to systematically generate all feasible assembly sequences while ensuring compliance with precedence and process constraints. By synthesizing a controllable, non-blocking, and minimally restrictive supervisor, the proposed method guarantees that only valid sequences are allowed, balancing flexibility and constraint enforcement. The obtained sequences can serve as a basis for further optimization or exception management, improving responsiveness to disruptions.
title Identification of Minimally Restrictive Assembly Sequences using Supervisory Control Theory
topic Systems and Control
url https://arxiv.org/abs/2503.05285