There is a problem with simultaneous variation of the structure (production equipment) and variation of parameters for each equipment (variation of processing time, reducing time of services, Increasing of priority of working place, ...) by using Design of Experiments .
My suggestion is that we first varies structure in dependence of production cost and achieved annual production. After that we choose best ranked structures for process of parametric optimization.
I would be glad to find out other Procedure or Ideas.
Are there any references for this topic.
Dear Edin,
Firstly, please correct your question. DOF is wrongly written instead of DOE. It helps you to find better answers.
One of the advantage of DOE is its ability to analyze the simultaneous effect of different factors on specific outputs. In your case, I recommend to use a scenario-based design. You can firstly consider the existence of variation in each equipment and then go through the final design. Alternatively, you can consider these different scenarios to check which equipment has the most significant effect on you model responses. Finally, you can use some weighting approaches to involve and change the weight of these different scenarios in you final decision.
Dear friend
Greetings from Kannan
First identify the process parameters and levels and conduct trial experiment. If the error percentage (>10, for up to 6 parameters) is more then there are more parameters influencing. Then identify more parameters adding them and then eliminating the less influencing parameters (
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