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Numerical Methods for Solving Linear Production Models and Their Analysis Using Computer Technologies

Field of Science:General Business, Management and AccountingComputer ScienceArtificial IntelligenceInformation SystemsSoftwareEconomics and EconometricsEconomics, Econometrics and Finance (miscellaneous)FinanceControl and Systems EngineeringElectrical and Electronic Engineering
National field of science (HAC):08.00.01 — Economic theory08.00.02 — Macroeconomics08.00.03 — Industrial economics08.00.04 — Agricultural economics08.00.05 — Service sector economics08.00.06 — Econometrics and statistics08.00.08 — Accounting, economic analysis and audit08.00.09 — World economy08.00.10 — Demography. Labor economics08.00.11 — Marketing08.00.12 — Regional economics08.00.13 — Management08.00.14 — Information systems and technologies in economics08.00.15 — Economics of entrepreneurship and small business08.00.16 — Digital economy and international digital integration08.00.17 — Tourism and hospitality08.00.07 — Finance, money circulation and credit
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Scientific electronic journal "Digital Economy"

Scientific electronic journal "Digital Economy"

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ARTICLE ANNOTATION

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This article analyzes linear production models and numerical methods used in their solution. The practical application of methods such as the simplex approach, two-stage method, and artificial basis is considered. The role of computer technologies in optimizing production processes is also highlighted. The possibilities of solving problems based on LINGO, MATLAB, Excel Solver, and Python are studied, and convenient methods for analyzing the results are shown. The study offers practical approaches to the effective allocation of resources and optimal planning using linear models.

AUTHORS

M.Zaripova

"TERMIZ DAVLAT UNIVERSITETI" DAVLAT MUASSASASI

M.Shotoʻrayeva

"TERMIZ DAVLAT UNIVERSITETI" DAVLAT MUASSASASI

Tags

# optimization# matlab# linear model# production process# numerical methods# simplex method# computer technologies# LINGO# Excel Solver# Python# resource allocation# optimal solution

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Article Identifiers

ROI:

https://eroi.uz/11.142/A026-031574

DOI:

Not Available

References

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Bazaraa, M.S., Jarvis, J.J., Sherali, H.D. Linear Programming and Network Flows. Wiley, 2010.

Vanderbei, R.J. Linear Programming: Foundations and Extensions. Springer, 2014.

Hillier, F.S., Hillier, M.S. Introduction to Management Science. McGraw-Hill, 2015.

Nemhauser, G.L., Wolsey, L.A. Integer and Combinatorial Optimization. Wiley, 2014.

Chvatal, V. Linear Programming. W.H. Freeman, 1983.

Luenberger, D.G., Ye, Y. Linear and Nonlinear Programming. Springer, 2016.