Statistical Analysis of Industrial Processes

To analyze the synchronization of machine-building production processes, a statistical approach is used on correctness choice parameters. The accuracy parameters achieved by modeling. This method allows checking how correctly are selected and whether they ensure uninterrupted operation production. Statistical analysis gives information failures in particular unit, violations technological processes. With help characteristics, it possible to evaluate as whole. multidimensional complex data work individual units, blocks. cluster has been carried out K -medium process with minimization total error probability. A geometric interpretation results processes given paper. influence factors determined index factorial different comparison base weights applied. hypothesis about adequacy model tested. search for optimal solutions case uncertainty conditions risk using following methods: Bayes, Laplace Germeyer simplex method. network methods decision-making have mathematical modeling substantiated sizes both parts volumes local warehouses, so that there were no delays transfer disruptions work, downtime working equipment. In this case, criterion optimality can be minimum losses from idle time units blocks possibility disruption synchronous modes due lack equipment (arising pockets) or long-used outdated units.