Enhancing SME Production Efficiency: A Case Study on Autonomous Manufacturing Systems
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In: Procedia CIRP, Vol. 134, 2025, p. 313-318.
Research output: Journal contributions › Conference article in journal › Research › peer-review
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TY - JOUR
T1 - Enhancing SME Production Efficiency
T2 - 58th CIRP Conference on Manufacturing Systems - CMS 2025
AU - Prüfer, Ole Christian
AU - Heger, Jens
N1 - Conference code: 58
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
KW - AMR
KW - Autonomous manufacturing systems
KW - hybrid simulation
KW - lead time reduction
KW - SME
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=105009400756&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2025.03.042
DO - 10.1016/j.procir.2025.03.042
M3 - Conference article in journal
AN - SCOPUS:105009400756
VL - 134
SP - 313
EP - 318
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
Y2 - 13 April 2025 through 16 April 2025
ER -