Advancement in technology has its place in the manufacturing industry through the IOT, and use of low-cost sensors installed in production systems and production lines. Among the benefits that manufacturers draw from this include realization of new after-sales services, improvement in productivity, and optimization of the supply chain and distribution as well. Even with all these benefits, several challenges exist that imply realization of real data-driven productivity may take time. Here are some of the problems.

Integration of legacy systems

The introduction of new systems of operation is no easy feat. It requires a platform where such systems work together with other proven systems that are well established, in a seamless manner. That is not possible at times because either software engineers are available, or necessary documents are scarce. It is not possible to resolve such issues if you opt to start on a clean page; you need to deal with the challenge of ensuring these systems work harmoniously.

Time-triggered and Event-triggered control systems

Production is of a deterministic nature thanks to technology. That means there is an interconnection of all operating systems within the production line, to the extent that there is no provision for randomness. In this case, systems respond as per the information that you introduce at the starting point, and details are in line with the demand that one expects to fulfill within a given period.

There is also the aspect of events that trigger action as production continues. That happens during the maintenance period, and technology has a way to handle this for efficiency purposes. The challenge, in this case, is all the information that you need to gather for each of these actions.


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