Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30309
Application of the Discrete-Event Simulation When Optimizing of Business Processes in Trading Companies

Authors: Maxat Bokambayev, Bella Tussupova, Aisha Mamyrova, Erlan Izbasarov

Abstract:

Optimization of business processes in trading companies is reviewed in the report. There is the presentation of the “Wholesale Customer Order Handling Process” business process model applicable for small and medium businesses. It is proposed to apply the algorithm for automation of the customer order processing which will significantly reduce labor costs and time expenditures and increase the profitability of companies. An optimized business process is an element of the information system of accounting of spare parts trading network activity. The considered algorithm may find application in the trading industry as well.

Keywords: business processes, Discrete-Event Simulation

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1092792

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References:


[1] YablochnikovY.I.,MolochnikovV.I., FominaY.N. Re-engineering of business processes of project and production/ Study book – Saint Petersburg: St. Petersburg National Research University of Information Technologies, Mechanics & Optics, 2008 – page 152
[2] Kirillovih Y.S. Graphical objects of quality management system / Study book – Yekaterinburg: Ural State Forest Engineering University, 2010 – page 119
[3] Dorenskaya I.N. Improvement of business processes in retail trading organizations in consumable cooperation. Author’s abstract of PhD dissertation, candidate to PhD – Belgorod: Belgorod University of Cooperation, Economics and Law, 2010 – page 15
[4] ShukaevD.N.Computer simulation. - Almaty: RIC 2004 .
[5] Kelton B. Lowe A. Simulation. - St. Petersburg. : Peter , 2004
[6] VarfolomeevV.I.Algorithmic modeling elements of economic systems. - Moscow: Finance and Statistics , 2000 .
[7] ValentinaPasquali. World’s GDP Growth by Region – Global Finance, 2013.