Enhancing SME Production Efficiency: A Case Study on Autonomous Manufacturing Systems

Autonomous manufacturing systems can lead to greater flexibility and efficiency. Even in small and medium-sized enterprises (SME), where resources are limited, the introduction of autonomous units can have a significant impact. The use of heterogeneous autonomous mobile robots (AMR) not just for transportation but also for product handling as well as the autonomization of certain machines and workstations describe different levels of autonomy for physical units. In this case study, we investigate different levels of autonomy of a production system in SMEs. The goal is to minimize lead time. For this purpose, we combine methods of autonomous production control and sequencing with different autonomy levels of the production system. This is implemented using a hybrid simulation with multiple agents and discrete events. The results of the study illustrate a significant influence of autonomous manufacturing systems on increasing production efficiency in SMEs.

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Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.03.042
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhancing SME Production Efficiency: A Case Study on Autonomous Manufacturing Systems

Jens Heger, محمد بن عبدالله بن عثمان النذير
1 links
Procedia CIRP
Scheduling and Optimization Algorithms
article

Enhancing SME Production Efficiency: A Case Study on Autonomous Manufacturing Systems

Jens Heger, محمد بن عبدالله بن عثمان النذير
article en

Abstract

Autonomous manufacturing systems can lead to greater flexibility and efficiency. Even in small and medium-sized enterprises (SME), where resources are limited, the introduction of autonomous units can have a significant impact. The use of heterogeneous autonomous mobile robots (AMR) not just for transportation but also for product handling as well as the autonomization of certain machines and workstations describe different levels of autonomy for physical units. In this case study, we investigate different levels of autonomy of a production system in SMEs. The goal is to minimize lead time. For this purpose, we combine methods of autonomous production control and sequencing with different autonomy levels of the production system. This is implemented using a hybrid simulation with multiple agents and discrete events. The results of the study illustrate a significant influence of autonomous manufacturing systems on increasing production efficiency in SMEs.

Procedia CIRPVol. 134
Leuphana University of Lüneburg (DE)
Bundesministerium für Verkehr und Digitale Infrastruktur
Openalex Percentile: Top 81%
Scheduling and Optimization Algorithms
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Enhancing SME Production Efficiency: A Case Study on Autonomous Manufacturing Systems — Jens Heger, محمد بن عبدالله بن عثمان النذير · Procedia CIRP (2025) | TGRS Research Map | TGRS