Дискретно-событийная модель производственной линии

Discrete-event model of the production line

Олег Пигнастый

MPRA Paper from University Library of Munich, Germany

Abstract: The method of calculating the duration of the production cycle for manufacturing a batch of parts is considered. The production cycle of manufacturing the batch of parts is one of the main characteristics of the production system. It is used to calculate the important indicators for planning the production activity of the factory. At present, the task of calculating the duration of the production cycle for unsynchronized production lines remains relevant. The task takes on special relevance in the case when the processing time of a work item in a technological operation is a random quantity. The present work is devoted to the analysis of this case. To derive the equation of motion of labor objects for technological operations, a discrete-event model of the production process is used. The structure of the processing time of an object of labor on a technological operation is considered. The source of change in the value of interoperational stocks at each technological operation is shown. The interrelation of the trajectories of the previous and after subjects of labor is analyzed. The equation of motion of a subject of labor on technological operations is recorded, taking into account the interoperational stocks. Methods for its solution are proposed. Conditions for the applicability of the obtained results are considered. The analysis of the machine time spent for calculating the duration of the production cycle of manufacturing the batch of products for the factory of the semiconductor industry was carried out. Prospects for research have been determined.

Keywords: дискретно-событийная модель; массовое производство; незавершенное производство; производственный цикл; системы управления производством стохастический процесс (search for similar items in EconPapers)
JEL-codes: C02 C15 C44 (search for similar items in EconPapers)
Date: 2017, Revised 2017
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