Making Industrial Processes More Cost Efficient

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All industrial processes can be made more efficient.

Industrial processes are rarely operated anywhere close to the economic optimum. The reason for it is simple: it is just too complicated to find the optimum by traditional means.

A large number of variables affect the consequences of a process or a series of processes. The consequences include quality variables, production rate, yield, frequency of rejects, raw material consumption, energy efficiency, etc. These consequences depend on a number of process variables as well as the amounts of materials fed into the process, or the composition of the material. The relations between composition and process variables, with end results of the process, are not very simple or linear. In addition, there are always upper and/or lower limits on many of the variables.

Our company develops advanced non-linear models from process data, often in combination with the knowledge of the processes. Once the models are developed, they are implemented in suitable software which sits in dedicated hardware.

When used efficiently to operate the process, these systems can help to improve production economics, reduce energy, reduce raw material consumption, improve quality, reduce rejects, increase the production rate or yield. Any one parameter can be emphasized to give maximum output or a group of parameters can be selected to arrive at optimum levels. It depends on the process and result that one wishes to achieve.