The advent of Industry 4.0(I4.0) has pushed technology beyond its physical limits, making\nthe process prone to errors and poorer performance. Whether it is about smart manufacturing where\nmass customization is envisaged, or collaborative humanâ??robot engineering systems, the pyramid\nof process operation has changed to a matrix form and control is the backbone of all process\nelements. The paper gives a concise guideline as to how, when, where, and what to apply when it\ncomes to choosing the most suitable control strategy as a function of multi-parameter objective\noptimization. Both proportional-integral-derivative (PID) and model predictive control (MPC)\ncontrol are addressed in this context.
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