Engineering design and product development are set for largescale changes over the next few years, promising to change the landscape. Fields such as AI, IoT and machine learning are witnessing newer adherents. This entire process can be clubbed under Engineering 4.0. Certain key building blocks need to be kept in mind while executing this transformation. A clear strategy needs to be in place for such implementations. Platforms need to be leveraged for data warehousing functions, so that more specific insights may be gleaned from this huge treasure trove. This data can further be leveraged by data scientists and software architects to develop new skills in-house. Digital tools need to be integrated into functions such as prototyping, and virtual teamwork. A cardinal rule to establish better talent management practices at present is having agile ways of working. Internal operations get smoothed out in this manner, while better products may be designed and customer relationships enhanced. The first phase in such implementation needs to be a diagnosis and pilot identification. Capabilities need to be built in so that deliverables can be mapped for instant impact. At the final stage, operations need to be scaled up to ensure Engineering 4.0 can be a reality.

Source:https://www.bcg.com/publications/2018/race-toward-engineering-4.0.aspx?linkId=51698013

Uploaded Date:04 July 2018