Published date:May 07 2018

Journal Title: KnE Engineering

Issue title: Russian Forum of Young Scientists (RFYS)

Pages:248–257

DOI: 10.18502/keg.v3i4.2248

R I Khamidullinhamidullin_ri@mail.ru

L B Senkevich

E L Rzhevskaya

S D Redkina

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.

[1] Conforti R, Leoni de M., PersonNameProductIDLa Rosa M.,La Rosa M., Aalst van der W.M.P. & Hofstede ter A.H.M. 2015 A recommendation system for predicting risks across multiple business process instances. Decision Support Systems 69 1-19.


[2] Dumas M, Aalst, van der, W.M.P. & Hofstede, ter, A.H.M. 2005 Introduction. In M. Dumas, W.M.P. Aalst, van der & A.H.M. Hofstede, ter (Eds.), Process-aware information systems : bridging people and software through process technology (pp. 3-20). Hoboken: Wiley-Interscience.


[3] Hofacker, placeI. and Vetschera, R. Algorithmical approaches to business process design. Computers & Operations Research 28, 1253-1275, 2001.


[4] Powell S G, Schwaninger M, Trimble C 2001 Measurement and control of business processes. Syst. Dyn. Rev.17no. 1: 63-91.


[5] Tiwari A, Vergidis K, and Majeed B 2006 Evolutionary Multi-Objective Optimisation of Business Processes, in Proceedings of IEEE Congress on Evolutionary Computation 2006, Vancouver, Canada 3091-3097.


[6] Tiwari A, Vergidis K, and Turner C J 2010 Evolutionary multi-objective optimisation of business processes. In: Gao, X.Z., Gaspar-Cunha, A., Köppen, M., Schaefer, G., Wang, J. (Eds.), Advances in Intelligent and Soft Computing: Soft Computing in Industrial Applications, Springer, Heidelberg 293-301.


[7] Turner C J, Tiwari A, Olaiya R and Xu Y 2012 Business process mining: From theory to practice. Business Process Management Journal. 18(3) 493 – 512.