TY - GEN
T1 - INDUSTRY 4.0 - ARTIFICIAL INTELLIGENCE (AI) CONTRIBUTION TO CAPABILITY MATURITY
AU - Vermeulen, Andre
AU - Pretorius, Jan Harm C.
AU - Viljoen, Albert J.
N1 - Publisher Copyright:
© American Society for Engineering Management, 2021
PY - 2021
Y1 - 2021
N2 - This paper reviews the extent of the disruptive nature of Industry 4.0 technologies applied to existing manufacturing industries. The inherent efficient and precision nature presented within the Cyber Physical Systems (CPS) and the nine pillars of Industry 4.0 technologies will increasingly exploit industry operations. This development of strategies and the impact thereof is significant for the drivers impacting on competitive forces within industry as well as consumers across the globe. The paper objective will therefore by means of research study illustrates how to (i) critically analyse the current developments of Artificial Intelligence (AI) one of the nine pillars within Industry 4.0 (ii) identify the dynamics of CPS's in the short term and (iii) how a multitude of exponential improvements can be realised for the early adopters of AI as part of their manufacturing and service digital strategy as a catalyst for increased organisational capability maturity through exponential continuous improvements and sustained innovation opportunities. The research results obtained therefore assisted in the design and testing of a comprehensive integrated Lean Six-Sigma (LSS), Critical Success Factors (CSF's), Design for Six Sigma (DFSS) and CMMI framework interacting and supported by Industry 4.0. The developed framework is undergoing testing multiple manufacturers in South Africa. The framework will assist the organisation to optimise processes and product quality coupled with product performance transcending into successful capability maturity outcomes in the pursuit of increased customer loyalty.
AB - This paper reviews the extent of the disruptive nature of Industry 4.0 technologies applied to existing manufacturing industries. The inherent efficient and precision nature presented within the Cyber Physical Systems (CPS) and the nine pillars of Industry 4.0 technologies will increasingly exploit industry operations. This development of strategies and the impact thereof is significant for the drivers impacting on competitive forces within industry as well as consumers across the globe. The paper objective will therefore by means of research study illustrates how to (i) critically analyse the current developments of Artificial Intelligence (AI) one of the nine pillars within Industry 4.0 (ii) identify the dynamics of CPS's in the short term and (iii) how a multitude of exponential improvements can be realised for the early adopters of AI as part of their manufacturing and service digital strategy as a catalyst for increased organisational capability maturity through exponential continuous improvements and sustained innovation opportunities. The research results obtained therefore assisted in the design and testing of a comprehensive integrated Lean Six-Sigma (LSS), Critical Success Factors (CSF's), Design for Six Sigma (DFSS) and CMMI framework interacting and supported by Industry 4.0. The developed framework is undergoing testing multiple manufacturers in South Africa. The framework will assist the organisation to optimise processes and product quality coupled with product performance transcending into successful capability maturity outcomes in the pursuit of increased customer loyalty.
KW - Artificial and machine Intelligence (AI)
KW - Capability Maturity Model Integrated (CMMI)
KW - Continuous improvement
KW - Industrial Internet of Things (IIOT's)
KW - Industry 4.0
KW - Lean Six Sigma
KW - Quality Control (SQC)
KW - Social intelligence
UR - http://www.scopus.com/inward/record.url?scp=85124396403&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85124396403
T3 - 2021 ASEM Virtual International Annual Conference "Engineering Management and The New Normal"
SP - 190
EP - 199
BT - 2021 ASEM Virtual International Annual Conference "Engineering Management and The New Normal"
PB - American Society for Engineering Management
T2 - 42nd International Annual Conference of the American Society for Engineering Management: Engineering Management and The New Normal
Y2 - 27 October 2021 through 30 October 2021
ER -