TY - GEN
T1 - Sustainable Production Through Competency Development in Smart Manufacturing
AU - Onu, P.
AU - Pradhan, A.
AU - Mbohwa, C.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the increasing global emphasis on sustainability, it is crucial to explore strategies that enable industries to adopt environmentally friendly and resource-efficient manufacturing processes. The study specifically focuses on enhancing the competencies of professionals in additive manufacturing, a multidisciplinary field encompassing mechanical engineering, electronics, and computer science, to contribute to sustainable production practices. Problem-centered and guided expert interviews were conducted with 12 experts from diverse industries to accomplish this. The interviews were transcribed verbatim, and Mayring's content analysis method was employed to evaluate the transcripts. This methodology identified vital competencies, including knowledge of technology and materials, part identification skills, and a comprehensive understanding of the AM process chain. The findings also highlighted the significance of soft or interpersonal skills, such as teamwork, effective communication, adapting to multicultural and diverse environments, and more. Furthermore, the interviews revealed opportunities for sustainability and emphasized the importance of increased collaboration among companies and universities involved in AM. The insights gained from this research will inform the development of training programs and guidelines to foster sustainable production in advanced manufacturing.
AB - With the increasing global emphasis on sustainability, it is crucial to explore strategies that enable industries to adopt environmentally friendly and resource-efficient manufacturing processes. The study specifically focuses on enhancing the competencies of professionals in additive manufacturing, a multidisciplinary field encompassing mechanical engineering, electronics, and computer science, to contribute to sustainable production practices. Problem-centered and guided expert interviews were conducted with 12 experts from diverse industries to accomplish this. The interviews were transcribed verbatim, and Mayring's content analysis method was employed to evaluate the transcripts. This methodology identified vital competencies, including knowledge of technology and materials, part identification skills, and a comprehensive understanding of the AM process chain. The findings also highlighted the significance of soft or interpersonal skills, such as teamwork, effective communication, adapting to multicultural and diverse environments, and more. Furthermore, the interviews revealed opportunities for sustainability and emphasized the importance of increased collaboration among companies and universities involved in AM. The insights gained from this research will inform the development of training programs and guidelines to foster sustainable production in advanced manufacturing.
KW - Industry 4.0
KW - additive manufacturing
KW - competency development
KW - sustainable production
UR - http://www.scopus.com/inward/record.url?scp=85186101465&partnerID=8YFLogxK
U2 - 10.1109/IEEM58616.2023.10406990
DO - 10.1109/IEEM58616.2023.10406990
M3 - Conference contribution
AN - SCOPUS:85186101465
T3 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
SP - 1437
EP - 1441
BT - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Y2 - 18 December 2023 through 21 December 2023
ER -