My 2002 Kia Rio was made by monkeys. Once in a while the light bulb for the drive-side front light breaks. Having also a 200 Kia Sephia, doing the replacement on that car is a piece of cake. Pop the hood, screw the lid off the light case, take the bulb holder out, pull the bulb out, stick a new one in, and put everything back together. Takes five minutes if I’m taking my time. On the 2002 Rio it is not that easy. The lid can be screwed off the same way, but taking the bulb holder out requires you to twist your hand in ways humans can’t do. Maybe monkeys can.
The only solution is to take everything out that is in the vicinity, which is really tricky. Even after taking out a handful of screws the parts wobble, but are still attached to something. What I do is buy the bulb, go to a repair shop, and ask the mechanic to put it in for me. It takes them a good amount of time and they take parts out, but they won’t tell me what the trick is (of course, they make money from cars designed by monkeys). Luckily, the passenger side light is much easier to get to, but that bulb hasn’t broken once since I’ve owned the car.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.