Development of an automated downtime system for small and medium sized enterprises

Alastair Long*, Andrew Johnston, Danielle Soban

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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The implementation of Industry 4.0 can be a challenge for SMEs as often the existing equipment cannot be simply replaced or data cannot be easily extracted from existing equipment. A system that automatically records downtime with minimal operator interaction can be beneficial by giving a clear picture of how a manufacturing process is running, along with providing information on duration, frequency and reasons for stoppages. When this information is available, further analysis can be performed to identify the main reasons for downtime and identify which sections of the production line are more prone to stopping; therefore, corrective actions can be put in place to reduce this. Off-the-shelf IoT equipment was used to develop this system, which reads the status from the signal towers of the line. These data were recorded in an SQL database and an interactive user interface was developed so that downtime codes could be assigned to stoppages and downtime data could be presented in different ways. This case study has shown that a small investment in IoT can make a huge improvement on the ability to monitor and analyse the downtime of a machining line for an SME.
Original languageEnglish
Article number2
Number of pages4
JournalEngineering Proceedings
Issue number1
Early online date27 Feb 2024
Publication statusEarly online date - 27 Feb 2024
Event39th International Manufacturing Conference 2023 - Ulster University Magee Campus, Derry/Londonderry, United Kingdom
Duration: 24 Aug 202325 Aug 2023


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