A STOCHASTIC MODEL TO DETERMINE THE ELEMENTS OF PRODUCTION CYCLE TIME IN ENTERPRISE

A model for the stochastic determination of the ele ments of production cycle time is proposed and experimentally verified in this survey. The origina lity 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.

[1]  M Klarin,et al.  A method to assess capacity utilization in short cycle functional layouts , 2010 .

[2]  Harold Bright Maynard,et al.  Industrial engineering handbook , 1956 .

[3]  M. Krisper,et al.  Optimal algorithm for minimizing production cycle time of a printed circuit board assembly line , 2004 .

[4]  Giancarlo Barbiroli,et al.  A method for evaluating the overall technical and economic performance of environmental innovations in production cycles , 2003 .

[5]  Tzu-Hsien Lee.  Optimal production run length and maintenance schedule for a deteriorating production system , 2008 .

[6]  Kuo-Lung Hou,et al.  The optimal production cycle time in an integrated production-inventory model for decaying raw materials , 2009 .

[7]  Won Young Yun,et al.  Optimal lot sizing for an unreliable production system under partial backlogging and at most two failures in a production cycle , 2005 .

[8]  Joseph J. Moder.  Selection of Work Sampling Observation Times: Part I—Stratified Sampling , 1980 .

[9]  Mihajlo Pupin,et al.  DEVELOPMENT OF A STOHASTIC MODEL FOR DETERMINING THE ELEMENTS OF PRODUCTION CYCLE TIME AND THEIR OPTIMIZATION FOR SERIAL PRODUCTION IN METAL PROCESSING INDUSTY AND RECYCLING PROCESSES , 2011 .

[10]  Rakesh Nagi,et al.  Cycle time reduction by improved MRP-based production planning , 2000 .

[11]  M. Elnekave *,et al.  Rapid video-based analysis system for advanced work measurement , 2006 .

[12]  Milivoj Klarin,et al.  The shift level of the utilization of capacity as the stochastic variable in work sampling , 2000 .