INGENIEUR
Figure 17 : SIPP 3D Virtual Factory mode ( published with permission from SIPP producer )
CONCLUSION
As part of the digital transformation agenda , institutions of higher learning , particularly those offering engineering education , have made significant efforts to integrate with and adapt to Industry 4.0 . These institutions have embraced the digital transformation spurred by Industry 4.0 , not just for educational purposes but also to train future engineers [ 3 ]. This article emphasises the integration of Industry 4.0 elements into chemical engineering education at XMUM , as well as the importance of providing chemical engineering students with Industry 4.0 skillset prior to graduation . Industry 4.0 elements have been embedded into a number of undergraduate courses with the aim of enabling future engineers with both Industry 4.0 and complex problem solving competencies . In addition to strong engineering foundations and acquired soft skills , it is anticipated that the chemical engineering graduates of XMUM with an Industry 4.0 skillset , will have the edge in succeeding in the chemical industry and remaining relevant in Industry 4.0 era .
ACKNOWLEDGEMENT The authors would like to thank Yvonne Choo for proofreading the article .
REFERENCE
[ 2 ] Y . Ma , A . J . A . Daniel A . Noreña-Caro , T . B . Brentzel , J . A . Romagnoli , and M . G . Benton , “ Machine-learning-based simulation and fedbatch control of cyanobacterial-phycocyanin production in Plectonema by artificial neural network and deep reinforcement learning ,” Comput . Chem . Eng ., vol . 142 , 2020 .
42 VOL 89 JANUARY-MARCH 2022