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Cited by 459

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics

Open access
Fragapane, Giuseppe, Ivanov, Dmitry, Peron, Mirco, Sgarbossa, Fabio, Strandhagen, Jan Ola·2022·Annals of Operations Research
DOI 10.1007/s10479-020-03526-7
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Abstract

Manufacturing flexibility improves a firm’s ability to react in timely manner to customer demands and to increase production system productivity without incurring excessive costs and expending an excessive amount of resources. The emerging technologies in the Industry 4.0 era, such as cloud operations or industrial Artificial Intelligence, allow for new flexible production systems. We develop and test an analytical model for a throughput analysis and use it to reveal the conditions under which the autonomous mobile robots (AMR)-based flexible production networks are more advantageous as compared to the traditional production lines. Using a circular loop among workstations and inter-operational buffers, our model allows congestion to be avoided by utilizing multiple crosses and analyzing both the flow and the load/unload phases. The sensitivity analysis shows that the cost of the AMRs and the number of shifts are the key factors in improving flexibility and productivity. The outcomes of this research promote a deeper understanding of the role of AMRs in Industry 4.0-based production networks and can be utilized by production planners to determine optimal configurations and the associated performance impact of the AMR-based production networks in as compared to the traditionally balanced lines. This study supports the decision-makers in how the AMR in production systems in process industry can improve manufacturing performance in terms of productivity, flexibility, and costs.

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Metadata

Authors
Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F., & Strandhagen, J. O.
Venue
Annals of Operations Research
Publisher
Springer Science and Business Media LLC
Published
2020-02-07
Volume
308
Issue
1-2
Pages
125-143
ISSN
  • 0254-5330 (ISSN-L)
  • 1572-9338
DOI
10.1007/s10479-020-03526-7
OpenAlex
W3004699108
Cited by
459
References
53
FWCI
43.15
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. https://app.cochat.ai/papers/10.1007/s10479-020-03526-7
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Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F., & Strandhagen, J. O. (2022). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03526-7

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