TY - GEN
T1 - Integration of Industry 4.0 in the Metal Roofing Manufacturing Industry
AU - Mulongo, Ndala Yves
AU - Mushavhanamadi, Khathutshelo
AU - Fetsha, Avumile
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The study explores how the increasingly industry 4.0 technology can be integrated into the Metal manufacturing sector to increase production output so that the adequate capacity of a plant is achieved. The design methodology approach used in designing and gathering information is qualitative and has been divided into three critical stages; the first stage is using second-hand information that is already present in the organisation's books; this gave me a clear depiction of how to structure my methodology. The second stage includes a framework to evaluate and analyse data and sort it so the information can follow a chronological order. The final stage confirms the choice of methodology by collecting extensive qualitative data through observation and semi-formal interviews with factory operators, managers, and researchers. The study's findings clearly depict a strong correlation between optimising 4.0 technologies and reaching production targets within the relevant range. The results show a positive influence on how the 4.0 technologies have an impact on employee satisfaction and improving the organisation's sustainability by ensuring that proper training seminars are held on a monthly basis with the staff members so they can keep up with new 4.0 technological advancements.
AB - The study explores how the increasingly industry 4.0 technology can be integrated into the Metal manufacturing sector to increase production output so that the adequate capacity of a plant is achieved. The design methodology approach used in designing and gathering information is qualitative and has been divided into three critical stages; the first stage is using second-hand information that is already present in the organisation's books; this gave me a clear depiction of how to structure my methodology. The second stage includes a framework to evaluate and analyse data and sort it so the information can follow a chronological order. The final stage confirms the choice of methodology by collecting extensive qualitative data through observation and semi-formal interviews with factory operators, managers, and researchers. The study's findings clearly depict a strong correlation between optimising 4.0 technologies and reaching production targets within the relevant range. The results show a positive influence on how the 4.0 technologies have an impact on employee satisfaction and improving the organisation's sustainability by ensuring that proper training seminars are held on a monthly basis with the staff members so they can keep up with new 4.0 technological advancements.
KW - Advance Manufacturing Technology
KW - Artificial Intelligence
KW - Digitalization
KW - Industry 4.0
KW - Metal Roofing manufacturing
KW - Smart production systems
UR - http://www.scopus.com/inward/record.url?scp=85170639332&partnerID=8YFLogxK
U2 - 10.1109/SmartNets58706.2023.10215894
DO - 10.1109/SmartNets58706.2023.10215894
M3 - Conference contribution
AN - SCOPUS:85170639332
T3 - 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023
BT - 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023
Y2 - 25 July 2023 through 27 July 2023
ER -