APPLICATION OF MODIFIED METHOD OF CURRENT OBSERVATIONS IN BIG INDUSTRIAL SYSTEMS

Method of current observations is a need of modern industrial systems and rich industrial states have seen that. Its main goals are to see production cycles, to observe slowdowns and to identify the slowdowns and their frequency. If some appearances appear in extreme parameters we may ask the following questions: what is the reason, how frequent is it and does it affect the whole production? This paper has the aim to observe such problems by researching one big production system; these problems are not new, but on the other hand they are not researched enough. Actually, this method has the aim to notice certain appearances (slowdowns), monitor them and try to “measure” them and to prove it in data, charts and graphs. By observing slowdowns in these cycles, we observe reasons of their appearance if there are any. On the other hand, we observed types of the slowdowns, their frequency and possibility of prediction (where, when and why they would appear). Modified method of current observations is a new method that has the same technology and mode as classical method, but modification is that we observe only work positions where a worker and object of productions are key objects. In other words, we observe appearances of slowdowns in installment cycles where manual work is dominant and represents the object of the research. We monitored three production cycles and each cycle had several steps in installment of certain part, which was a part of production programme of the Sample. The method showed that there were slowdowns and it classified them and noticed their number, and therefore it pointed out certain activities and types of slowdowns. By defining slowdowns in certain installment steps and further analysis enabled to notice certain key topics ? which factors were the reasons of slowdowns and whether they were people, production organization or technology, etc. The research itself has some graph and data index that were gathered directly from the field in the aim to find real model in order to improve prodeuction memo, reduce slowdown appearances, to shorten production cycles and to improve business success of this company.