TY - GEN
T1 - An Ontology-Based Ethical Framework for Green Digifacturing in the South African Energy Sector
T2 - 34th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2025
AU - Bakam, Genevieve
AU - Mpofu, Khumbulani
AU - Mbohwa, Charles
AU - Nenzhelele, Tshifhiwa
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - Ethical considerations align global and massive digital changes with moral and responsible values in industrial settings. This study investigates an ontology-based ethical framework for green and digital manufacturing in the South African energy sector. This study uses business ethics ontology (BEO) as enterprise ontology for knowledge acquisition using classes, concepts, entities and relationships in the manufacturing ecosystem using the case study of the Eskom energy company. The Protégé platform supports knowledge representation enabling the ethical framework design. The BEO revealed that modern manufacturing companies apply sustainability practices, are responsible, comply with regulations and laws, apply transparency with ethical reporting, follow business integrity through clear policies and stakeholder involvement and apply fair business and labour practices. Findings revealed that digital communication between all agents such as raw materials, processes, operators, products, machines, network connectivity, robotics, applications, cloud systems, sensors and data analytics in the digifacturing processes enables interoperability and real-time adaptability between hardware and software. The proposed ethical framework depicts that applying ethical practices in green and digital manufacturing processes lead to production increase, global positioning, value creation and inclusive growth following ethical monitoring and control. The SA government and regulatory bodies should upgrade digital infrastructure and ethical-driven manufacturing policies while establishing penalties and incentives for manufacturing ethics adoption.
AB - Ethical considerations align global and massive digital changes with moral and responsible values in industrial settings. This study investigates an ontology-based ethical framework for green and digital manufacturing in the South African energy sector. This study uses business ethics ontology (BEO) as enterprise ontology for knowledge acquisition using classes, concepts, entities and relationships in the manufacturing ecosystem using the case study of the Eskom energy company. The Protégé platform supports knowledge representation enabling the ethical framework design. The BEO revealed that modern manufacturing companies apply sustainability practices, are responsible, comply with regulations and laws, apply transparency with ethical reporting, follow business integrity through clear policies and stakeholder involvement and apply fair business and labour practices. Findings revealed that digital communication between all agents such as raw materials, processes, operators, products, machines, network connectivity, robotics, applications, cloud systems, sensors and data analytics in the digifacturing processes enables interoperability and real-time adaptability between hardware and software. The proposed ethical framework depicts that applying ethical practices in green and digital manufacturing processes lead to production increase, global positioning, value creation and inclusive growth following ethical monitoring and control. The SA government and regulatory bodies should upgrade digital infrastructure and ethical-driven manufacturing policies while establishing penalties and incentives for manufacturing ethics adoption.
KW - Ontology
KW - digital manufacturing
KW - energy production and South Africa
KW - ethical framework
KW - green manufacturing
UR - https://www.scopus.com/pages/publications/105023134553
U2 - 10.1007/978-3-032-07675-5_27
DO - 10.1007/978-3-032-07675-5_27
M3 - Conference contribution
AN - SCOPUS:105023134553
SN - 9783032076748
T3 - Lecture Notes in Mechanical Engineering
SP - 290
EP - 297
BT - Flexible Automation and Intelligent Manufacturing
A2 - Srihari, Krishnaswami
A2 - Khasawneh, Mohammad T.
A2 - Yoon, Sangwon
A2 - Won, Daehan
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 21 June 2025 through 24 June 2025
ER -