Information management and decision making supported by an intelligence system in kitchen fronts control process

Measuring systems used for alternative control are the basis of the kitchen fronts acceptance. The assessment of such products is difficult. On the basis of the performed analysis, it can be said that different operators make dif-ferent decisions that result in different problems in a case study manufactur-ing company. In the work, the authors propose a cyber-physical distributed computing infrastructure to implement performance metrics methods extend-ed to manage the control system and to support the decisions concerning im-provements in the control process. It will result in the minimization or avoid-ance of operators’ mistakes concerning the wrong acceptance or rejection of the finished product.