Development of a Mathematical Model of Business Process to Optimize the Budget Department’s Work in Machine-building Enterprises

R I Khamidullin; L B Senkevich; E L Rzhevskaya; S D Redkina

Article Details

Development of a Mathematical Model of Business Process to Optimize the Budget Department’s Work in Machine-building Enterprises

Authors:

R I Khamidullin | L B Senkevich | E L Rzhevskaya | S D Redkina

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.3 Issue 4, pp.248-257

Document Type:

Article

Publication Date:

7/2018

Document Language:

English

Document ID (Org No.):

2001523465

pISSN:

2518-6841

Abstract:

 The article covers the highlights in the development of an optimal mathematical model of business process of the budget department’s work in machine-building enterprises. There has been done the analysis of basic problems in the engineering field, arising in the course of economic instability and deterioration of the business strategy. The investigation discussed is aimed to improve the competitiveness in the market and optimize the strategy of the organization’s activities as a whole. Special attention is paid to the methods of mathematical modeling of business process on the basis of queuing theory to develop the authoring mathematical model. The developed model would make it possible to evaluate and optimize the performance of the budget departments of engineering enterprises.

Article Details

Development of a Mathematical Model of Business Process to Optimize the Budget Department’s Work in Machine-building Enterprises

Authors: R I Khamidullin | L B Senkevich | E L Rzhevskaya | S D Redkina

Publisher: KnE Social Sciences

Journal: KnE Engineering Vol.3 Issue 4, pp.248-257

Document Type: Article

Publication Date: 7/2018

Document Language: English

Document ID (Org No.): 2001523465

pISSN: 2518-6841

Issues

Authors:

R I Khamidullin | L B Senkevich | E L Rzhevskaya | S D Redkina

Publisher:

KnE Social Sciences

Journal:

KnE Engineering Vol.3 Issue 4, pp.248-257

Document Type:

Article

Publication Date:

7/2018

Document Language:

English

Document ID (Org No.):

2001523465

pISSN:

2518-6841