A systems approach to digitalizing a traditional manufacturing SME: implementing low-cost industry 4.0 Solution for a hand press machine
The traditional manufacturing industry, often reliant on paper-based manual processes, must digitalize to remain competitive in an era where artificial intelligence drives everyday processes. Accurate and realistic production planning and control are crucial for the success of small and medium-sized manufacturing enterprises (SMEs), and data is key to these processes. However, legacy machines in traditional manufacturing make data collection challenging. This work presents a data acquisition approach for collecting real-time production data, such as daily production volumes and downtime from a hand press machine.
Authors
- Ammar Al‐Bazi (ORCID: https://orcid.org/0000-0002-5057-4171)
- Akshay Kamble
- Ben Clegg (ORCID: https://orcid.org/0000-0001-7506-5237)
- Donato Masi (ORCID: https://orcid.org/0000-0002-4553-3244)
Institutions
- Aston University (GB)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1049/icp.2024.3490
- Citations
- 2
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- UK Research and Innovation
- Aston University