Business process development with the application of simulation technique

Abstract

The object of our work to increase production efficiency with the use of cost-efficient development tools at a Hungarian small enterprise. We apply data gathering techniques besides process modelling and diagnostic methods to reduce the total process time of the assembly process so as to induce cost reduction in the production. In this respect we investigate and rank root causes of wastes by cost-effective process development tools, like timebased FMEA (failure mode and effects analysis) as well as the 5 whys method. With the use of Monte-Carlo simulation companies can evaluate the change in the process, therefore, they can decide whether they want to carry out corrective measures or not. The accomplished changes can generate increasing competitive edge in the long run.

Comparative case study on system-integrated measurement technologies

“…6). The rating scores for mean scores are significantly affected by the following weighted points: E5-Data collection for reports; E6 -Data evaluation; E3 -Difficulty of programming; E8 -Sensor compatibility; E4 -User friendliness [11], [12], [13], [14], [15], [16].…”