Open AccessModeling the management of fluctuations in stocks in production
Author(s) -
В. В. Кукарцев,
V. S. Tynchenko,
V. E. Petrenko,
А. В. Милов,
S. N. Ezhemanskaya
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1661/1/012054
Subject(s) - production (economics) , computer science , interface (matter) , simulation , point (geometry) , track (disk drive) , industrial engineering , econometrics , operations research , economics , microeconomics , engineering , mathematics , geometry , bubble , parallel computing , maximum bubble pressure method , operating system
The article describes a simulation model that describes the fluctuations of the system. It is possible to track changes of fluctuations in stocks levels, as well as in production. Fluctuations occur when the behavior of the model deviates above or below the equilibrium point. If the oscillations damp, they will become less and less and eventually disappear in the absence of an external force that stimulates them. This model was built with the help of the program Powersim Studio 7 Express. The input interface of the model is shown. It includes such data as “Equipment correction time”, “Changing timeout”, “Inventory”, “Equipment” and “Expected demand”. This model contains three constants, two auxiliary variables, two drives and three streams. An experiment was conducted on the input data. As a result of the experiment an output interface was created and it includes such graphs as “Behavior “Expected Demand”, “Order Level” and “Production” during the simulation” and “Comparison of “Equipment” and “Required Equipment” during the simulation”. According to these graphs, it is possible to track the actual and necessary equipment used in production, as well as understand how much needs to be produced to cover the discrepancies between stocks and desired stocks, as well as expected consumer demand.