Identification of Annual Work Hour Elements in Production Cycle and Experimental Assessment of Flow Coefficient and Optimal Series

Abstract

In the metalwork production a large part of gross domestic product is being achieved by automating the production in large factories, the finalists, but even a larger part comes from subcontractors and companies that have small-scale and mass production of maintenance elements and other services. Therefore, the production with higher degree of stochastics and organization mostly occurs during the production, and it happens, but to a lesser extent, that everything is planned and set in advance, and according to those facts this survey is going to analyze one of the most important production indicators - the production cycle. In this paper we are experimentally demonstrating the original stochastic method of determining 10 different production cycle working hours, and production cycle itself is determined out of factory driving records. The research also enables determining the flow coefficient which represents the function between the size of the series and technological or real time of the production cycle. Within the framework of a broader research we are contributing results of four years long record, from 2011 to 2014 for a large company with high level of organization. The production cycle per years (2011-2014) amounts to 326, 233, 248 and 236 minutes, while the flow coefficient is Kp=(277/x+0.24) the one that enables and experimentally determines optimal series which is in total 9 items for the company in question.

Keywords

• batch sizing
• flow coefficient
• production cycle
• stochastic model