Abstract
The purpose of the study is to rationalize the cement shipment process using simulation modeling. The work provides an analysis of the main stages and relationships in the shipment process, identifying bottlenecks that can lead to the creation of queues and delays. Simulation modeling is used to analyze and optimize the cement loading process. For this purpose, the AnyLogic development environment was used, which has a wide range of tools for creating detailed and realistic models, as well as the ability to visualize various aspects of the process. The work was carried out in 2023 at the Akkerman Cement LLC enterprise. The article presents the construction of a cement shipment model, including blocks of sources, queues, choice of vehicle routes and other key elements. Simulations are presented using histograms and pie charts, which allow you to visually track the average time indicators at various stages of the process and the ratio of the number of shipments of different types of products. During the research, bottlenecks in the shipping process were found. In particular, the presence of a bidirectional gateway - checkpoint and recursive movements of transport during the loading and weighing process were noted. Methods are proposed to streamline processes by changing model parameters, such as the number of resources and service time. Examples are given of optimizing the cement shipment process at an enterprise by changing the number of loading points and checkpoints. The introduction of a simulation model for the analysis and rationalization of production operations make it possible to flexibly adjust resources depending on the production situation, which helps to increase production efficiency and ensure sustainable development of the enterprise. Further, the article discusses the identified bottlenecks in the shipping process and suggests ways to optimize them by changing model parameters, such as the amount of resources and service time. Examples of optimizing the cement shipment process at the enterprise by changing the number of loading points and checkpoints are given. In conclusion, the article notes the importance of implementing a simulation model for the analysis and optimization of production operations. It is emphasized that this approach helps to increase production efficiency, optimize operations and ensure the sustainable development of the enterprise.
Keywords
simulation modeling, process optimization, AnyLogic, simulation model, product shipment process
1. Description of AnyLogic. Available at: https://soware.ru/products/anylogic (accessed 29 February 2024) (In Russian)
2. Contract for cement supply in Russia. Available at:: https://www.akkermann.ru/kommercheskie-dokumenty/ (accessed 29 February 2024) (In Russian)
3. Ackermann cement logistics services. Available at:: https://www.akkermann.ru/logisticheskie-servisy/ (accessed 29 February 2024) (In Russian)
4. Limanovskaya O.V., Alferyeva T.I. Modeling of production processes in anylogic 8.1 Available at:: https://www.anylogic.ru/upload/Books_ru/modelirovanie-proizvodstvennyh-processov-v-anylogic-8.1.pdf (accessed 29 February 2024) (In Russian)
5. Anfilatov V.S., Emelyanov A.A., Kukushkin A.A. Sistemnyi analis v upravlenii: uchebnoe posobie. [System analysis in management]. Moscow, Finance and Statistics, 2009. 368 p. (In Russian)
6. Tarasov I.V. Industry 4.0: concept, concepts, development trends. Strategii biznesa. [Business strategies], 2018, no. 6(50), pp. 57-63. (In Russian). doi: 10.17747/2311-7184-2018-5-43-49
7. Order of the Ministry of Finance of the Russian Federation dated 01/18/2023 No. 21 "On approval of Methodological recommendations for the transition to the use of Russian software, including on significant objects of the critical information. Available at: https://www.consultant.ru/law/hotdocs/79219.html (accessed 27 February 2024) (In Russian)
8. Parsunkin B.N., Lednov A.V., Sukhonosova T.G., Lednova J. Testing signals formation for identification of heat power objects and control systems comparison. The International Journal of Advanced Manufacturing Technology. 2017, vol. 93, no. 9-12, pp. 3429-3436.
9. Doronin V.Yu., Volshchyukov Yu.N., Ю.Н., Makashov P.L., Romanenko A.V., Ishmetyev E.H., Lednov A.V., Makashova V.I. Construction of a dispatch and control system for technological processes as an element of industrial enterprise management. Upravlenie bolshimi sistemami: materialy VIII Vserossiyskoi shkoly-konferentsii molodykh uchenykh. [VIII All-Russian school-conference of young scientists "Management of large systems"]. Magnitogorsk, NMSTU Publ., 2011, pp. 116-119. (In Russian)
10. Lednov A.V., Muslimov M.B., Logunova O.S., Khudyakov P.Yu., Kuhta Yu.B. System of centralized dispatch control of the flotation department: an axiomatic approach. Elektrotekhnicheskie sistemy i kompleksy [Electrotechnical systems and complexes], 2021, no. 2(51), pp. 61-67. (In Russian). doi: 10.18503/2311-8318-2021-2(51)-61-67
Lednov A.V., Seldyushev K.A., Nikitin N.V., Shvaleva A.V. Cement Shipment Process Simulation at Enterprise in Anylogic Environment. Elektrotekhnicheskie sistemy i kompleksy [Electrotechnical Systems and Complexes], 2024, no. 1(62), pp. 65-71. (In Russian). https://doi.org/10.18503/2311-8318-2024-1(62)-65-71