A stochastic model to determine the elements of production cycle time in enterprise

Abstract

A model for the stochastic determination of the elements of production cycle time is proposed and experimentally verified in this survey. The originality of the model is reflected in the idea of using a work sampling model to monitor the production cycle, as one of the most significant indicators of production effectiveness and efficiency, instead of applying classical methods. It has been experimentally proved that for a corresponding representative set the elements of working time range according to normal distribution law and that, dynamically viewed, it is possible using mean value calculations to establish control limits on 3 standard deviations for the individual elements of working time and thus to master the process.

The model for improving the manufacturing process in Serbian small-scale production enterprises

“…Measuring the production cycle includes the period from the moment of the input of raw material (or material) in the first operation of the manufacturing process until the output of the finished product, i.e. the period is divided in two stages: production and non-production, (Klarin et al, 2012).…”

Determination of the Elements of Production Cycle Time in Serial Production: The Serbian Case

“…for the purpose of establishing the machine capacity only or within the production cycle, because these two are not the same. The elements of working time are determined according to Barnes [17], Maynard [4], Moder [18], Niebel [2], Richardson and Eleanor [19], Klarin et al [1,3], andČala et al [5]. Theoretically speaking, the sequence of operations may be serial, parallel or combined.…”

“…Reduced cycle time can be translated into increased customer satisfaction. Quick response companies are able to launch new products earlier, penetrate new markets faster, meet changing demand, and make rapid and timely deliveries [1]. They can also offer their customers lower costs because quick response companies have streamlined processes with low inventory and less obsolete stock.…”

Optimizing Factory Performance for Unit Cost in Semiconductor Manufacturing

“…Numerous papers have been published on the importance of cycle time. For example, a discussion on the importance of cycle time and quality in the software industry can be found in [7]; in [8], they do the same in the context of MRP-based assembly facilities; and in [9] a proposal of a stochastic model for determining the production cycle time for serial production in the metal processing industry is discussed; lastly, in [10] the focus on cycle time improvements for a photolithography process in semiconductor manufacturing.…”