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Substantiation of a reasonable number of forklifts for a warehouse complex with frontal racks in an anylogic environment

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper is devoted to the study of the impact of volumetric planning solutions and the main production and technological parameters of a modern warehouse on the effectiveness of its functioning. The object of analysis is a class A warehouse complex located in Almaty. Simulation modeling was utilized to find and substantiate management decisions. The software product AnyLogic was used as the environment for the simulation. This paper develops a generalized algorithm for creating simulation models of warehouse complexes and a simulation model consisting of 114 blocks. The model is presented in the form of a black box, which made it possible to identify and establish correlations and relations between the input and output parameters of the warehouse, as well as its resources. A simulation experiment was conducted consisting of 63 model calculations. Variation parameters were the number of loading and unloading docks, as well as the number of forklifts in the storage area. As a result of the simulation, four options for the operation of the warehouse were established to ensure the unloading and loading of the required number of cars during the day. The optimal variant of the functioning of the warehouse complex was chosen on the basis of the proposed comprehensive criterion.
Czasopismo
Rocznik
Strony
147--160
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
  • Academy of Logistics and Transport; Shevchenko 97, 050022 Almaty, Kazakhstan
autor
  • Dnipro University of Technology, Transport Management Department; av. D. Yavornytskoho 19, 49005 Dnipro, Ukraine
autor
  • Rzeszow University of Technology, Department of Roads and Bridges; Powstańców Warszawy av. 12, 35-959 Rzeszów, Poland
  • Almaty Management University, School of Management; Rozybakiev 227, 050060 Almaty, Kazakhstan
  • Academy of Logistics and Transport; Shevchenko 97, 050022 Almaty, Kazakhstan
Bibliografia
  • 1. Official website of the President of the Republic of Kazakhstan. Available at: https://www.akorda. kz/ru/republic_of_kazakhstan/kazakhstan.
  • 2. Kazlogistics. Statistics I half year 2022. Available at: https://www.kazlogistics.kz/ru/library/ statistics/20.
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  • 6. Zhang, Y. & Wang, Y. & Wu, L. Research on demand-driven leagile supply chain operation model: a simulation based on AnyLogic in system engineering. Systems Engineering Procedia. 2012. Vol. 3. P. 249-258.
  • 7. Eller, B. & Movahedi Rad, M. & Fekete, I. & Szalai, S. & Harrach, D. & Baranyai, G. & Kurhan, D. & Sysyn, M. & Fischer, S. Examination of concrete canvas under quasi-realistic loading by computed tomography. Infrastructures. 2023. Vol. 8(2). P. 23.
  • 8. Fischer, S. Investigation of the horizontal track geometry regarding geogrid reinforcement under ballast. Acta Polytechnica Hungarica. 2022. Vol. 19(3). P. 89-101.
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  • 10. Silva, A. & Roodbergen, K.J. & Coelho, L.C. & Darvish, Maryam. Estimating optimal ABC zone sizes in manual warehouses. International Journal of Production Economics. 2022. Vol. 252. No. 108579.
  • 11. Celik, M. & Archetti, C & Süral, H. Inventory routing in a warehouse: The storage replenishment routing problem. European Journal of Operational Research. 2022. Vol. 301(3). P.1117-1132.
  • 12. Oliveira, R.L.M.De. & Dablanc, L. & Schorung, M. Changes in warehouse spatial patterns and rental prices: Are they related? Exploring the case of US metropolitan areas. Journal of Transport Geography. 2022. Vol. 104. No. 103450.
  • 13. de Jesus Pacheco, D.A. & Møller Clausen, D. & Bumann, J. A multi-method approach for reducing operational wastes in distribution warehouses. International Journal of Production Economics. 2023. Vol. 256. No. 108705.
  • 14. Accorsi, R. & Manzini, R. & Maranesi, F. A decision-support system for the design and management of warehousing systems. Computers in Industry. 2014. Vol. 65(1). P. 175-186.
  • 15. Nugymanova, G. & Nurgaliyeva, M. & Zhanbirov, Zh. & Naumov, V., & Taran, I. Choosing a servicing company’s strategy while interacting with freight owners at the road transport market. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2021. Vol. 1. Р. 204-210.
  • 16. Ramazan, B. & Mussaliyeva, R. & Bitileuova, Z. & Naumov, V. & Taran, I. Choosing the logistics chain structure for deliveries of bulk loads: Case study of the Republic Kazakhstan. Naukovyi Visnyk Natsionalnoho HirnychohoUniversytetu. 2021. Vol. 3. Р. 142-147.
  • 17. Fabry, Q. & Agnetis, A. & Berghman, L & Briand, C. Complexity of flow time minimization in a crossdock truck scheduling problem with asymmetric handover relations. Operations Research Letters. 2022. Vol. 50(1). P. 50-56.
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  • 19. Warehouse and logistics automation and robotisation. Available at: https://sunone.com.ua/ru/articles-ru/avtomatizaciya-i-robotizaciya-sklada-i-logisticheskih-predpriyatij/
  • 20. Vale, А. & Ventura, R. & Lopes, P. & Ribeiro, I. Assessment of navigation technologies for automated guided vehicle in nuclear fusion facilities. Robotics and Autonomous Systems. 2017. Vol. 97. P. 153-170.
  • 21. Cao, W. & Zhang, M. The optimization and scheduling research of shuttle combined vehicles in automatic three-dimensional warehouse. Procedia Engineering. 2017. Vol. 174. P. 579-587.
  • 22. Zhang, J. & Wang, X. & Huang, K. Integrated on-line scheduling of order batching and delivery under B2C e-commerce. Computers & Industrial Engineering. 2016. Vol. 94. P. 280-289.
  • 23. Bolu, A. & Korcak, O. Path Planning for Multiple Mobile Robots in Smart Warehouse. IEEE 7th International Conference on Control, Mechatronics and Automation, ICCMA. 2019. No. 8988635. P. 144-150.
  • 24. Friswell, R. & Williamson, A. Management of heavy truck driver queuing and waiting for loading and unloading at road transport customers’ depots. Safety Science. 2019. Vol. 120. P. 194-205.
  • 25. Onal, S. & Zhu, W. & Das, S.K. Order picking heuristics for online order fulfillment warehouses with explosive storage. International Journal of Production Economics. 2023. Vol. 256. No. 108747.
  • 26. Dotoli, M. & Epicoco, N. Falagario, M. & Costantino, N. & Turchiano, B. An integrated approach for warehouse analysis and optimization: A case study. Computers in Industry. 2015. Vol. 70. P. 56-69.
  • 27. Ferrara, A. & Gebennini, E. & Grassi, A. Fleet sizing of laser guided vehicles and pallet shuttles in automated warehouses. International Journal of Production Economics. 2014. Vol. 157. P. 7-14.
  • 28. Cheberiachko, S.I. & Koriashkina, L.S. & Deryugin, O.V. & Odnovol, M.M. Rational organization of the work of an electric vehicle maintenance station. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020. Vol. 5. P. 136-142.
  • 29. Žilina, М. & Rogić, K. & Bajor, I. Case-study analysis of warehouse process optimization. Transportation Research Procedia. 2022. Vol. 64. P. 215-223.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3c5aacd9-5bfa-4a59-806b-0f455d3bf268
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