Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant
The problem evaluated in this study is related to the optimization of a budget of an industrial enterprise using simulation methods of the production process. Our goal is to offer a universal and straightforward methodology for simulating a production budget at any level of complexity by presenting...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Informatics |
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| Online Access: | https://www.mdpi.com/2227-9709/9/1/5 |
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| author | Mikhail Koroteev Ekaterina Romanova Dmitriy Korovin Vasiliy Shevtsov Vadim Feklin Petr Nikitin Sergey Makrushin Konstantin V. Bublikov |
| author_facet | Mikhail Koroteev Ekaterina Romanova Dmitriy Korovin Vasiliy Shevtsov Vadim Feklin Petr Nikitin Sergey Makrushin Konstantin V. Bublikov |
| author_sort | Mikhail Koroteev |
| collection | DOAJ |
| description | The problem evaluated in this study is related to the optimization of a budget of an industrial enterprise using simulation methods of the production process. Our goal is to offer a universal and straightforward methodology for simulating a production budget at any level of complexity by presenting it in a specific form. The calculation of such production schemes, in most enterprises, is currently done manually, which significantly limits the possibilities for optimization. This article proposes a model based on the Monte Carlo method to automate the budgeting process. The application of this model is described using an example of a typical meat processing enterprise. Approbation of the model showed its high applicability and the ability to transform the process of making management decisions and the potential to increase the profits of the enterprise, which is unattainable using other methods. As a result of the study, we present a methodology for modeling industrial production that can significantly speed up the formation and optimization of an enterprise’s budget. In our demonstration case, the profit increased by over 30 percentage points. |
| first_indexed | 2024-03-09T19:40:22Z |
| format | Article |
| id | doaj.art-414992817cb94ac991d2e8a058f1e74f |
| institution | Directory Open Access Journal |
| issn | 2227-9709 |
| language | English |
| last_indexed | 2024-03-09T19:40:22Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Informatics |
| spelling | doaj.art-414992817cb94ac991d2e8a058f1e74f2023-11-24T01:40:34ZengMDPI AGInformatics2227-97092022-01-0191510.3390/informatics9010005Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing PlantMikhail Koroteev0Ekaterina Romanova1Dmitriy Korovin2Vasiliy Shevtsov3Vadim Feklin4Petr Nikitin5Sergey Makrushin6Konstantin V. Bublikov7Department of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaDepartment of Applied Informatics, Russian State Agrarian University—Moscow Timiryazev Agricultural Academy, Timiryazevskaya Street 49, 127550 Moscow, RussiaDepartment of Data Analysis and Machine Learning, Financial University under the Government of Russian Federation, 4th Veshnyakovsky pr. 4, 111395 Moscow, RussiaInstitute of Electrical Engineering, Slovak Academy of Sciences, Dubravska cesta 3484/9, 84104 Bratislava, SlovakiaThe problem evaluated in this study is related to the optimization of a budget of an industrial enterprise using simulation methods of the production process. Our goal is to offer a universal and straightforward methodology for simulating a production budget at any level of complexity by presenting it in a specific form. The calculation of such production schemes, in most enterprises, is currently done manually, which significantly limits the possibilities for optimization. This article proposes a model based on the Monte Carlo method to automate the budgeting process. The application of this model is described using an example of a typical meat processing enterprise. Approbation of the model showed its high applicability and the ability to transform the process of making management decisions and the potential to increase the profits of the enterprise, which is unattainable using other methods. As a result of the study, we present a methodology for modeling industrial production that can significantly speed up the formation and optimization of an enterprise’s budget. In our demonstration case, the profit increased by over 30 percentage points.https://www.mdpi.com/2227-9709/9/1/5Monte Сarlo simulation methodproduction optimizationmathematical modeling of productionfood productionfood production optimization |
| spellingShingle | Mikhail Koroteev Ekaterina Romanova Dmitriy Korovin Vasiliy Shevtsov Vadim Feklin Petr Nikitin Sergey Makrushin Konstantin V. Bublikov Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant Informatics Monte Сarlo simulation method production optimization mathematical modeling of production food production food production optimization |
| title | Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant |
| title_full | Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant |
| title_fullStr | Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant |
| title_full_unstemmed | Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant |
| title_short | Optimization of Food Industry Production Using the Monte Carlo Simulation Method: A Case Study of a Meat Processing Plant |
| title_sort | optimization of food industry production using the monte carlo simulation method a case study of a meat processing plant |
| topic | Monte Сarlo simulation method production optimization mathematical modeling of production food production food production optimization |
| url | https://www.mdpi.com/2227-9709/9/1/5 |
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