Autors: Popov, G. I., Anguelov, K. P., Popova, A. I.
Title: Simulation Modeling of a Warehouse Logistics Department of a Medium-sized Company
Keywords: management, warenhouse, logistics

Abstract: The article gives a simulation model of a warehouse and logistics department of a medium-sized company. Based on the pre-specified workload, the following characteristics of the department are established, such as the load of the warehouses, the size of the queues for import / export of goods and the waiting time in them, the volume of the warehouse and the number of service personnel (warehouse workers). The model can be easily changed for various similar situations.

References

    Issue

    Cite as: AIP Conference Proceedings 2333, 2021, Bulgaria, Cite as: AIP Conference Proceedings 2333, https://doi.org/10.1063/5.0041756

    Цитирания (Citation/s):
    1. Template for Building Manageable Data Mining Autonomous Process with RapidMiner Studio - 2021 - в издания, индексирани в Scopus и/или Web of Science
    2. Comparative Analysis of Contemporary ITSM Frameworks - 2021 - в издания, индексирани в Scopus и/или Web of Science
    3. Ricardianto P, Son A, Thamrin M, Priyanto E, Nurdin M, Kuncoro Y, Solikina S, Saptana S, Febriyanti F, Endri E. The contribution of cargo loading and discharging time to the loss and gain of coal: Empirical evidence from Indonesian ports. Uncertain Supply Chain Management. 2023;11(2):725-36. - 2023 - в издания, индексирани в Scopus и/или Web of Science
    4. Eichenseer, P., Winkler, H. Predicting picking and workforce planning for internal shopfloor material logistics – a simulative, data-driven forecasting model. Journal of Modelling in Management. doi 10.1108/JM2-09-2024-0288 - 2024 - в издания, индексирани в Scopus
    5. Eichenseer P., Hans L., Winkler H., A data-driven machine learning model for forecasting delivery positions in logistics for workforce planning, 2025, Supply Chain Analytics, issue 0, vol. 9, DOI 10.1016/j.sca.2024.100099, eissn 29498635 - 2025 - в издания, индексирани в Scopus
    6. Saini R., Vaidya O.S., Venkitasubramony R., Simulation to analyse warehouse operational performance: a systematic literature review, 2025, Journal of Simulation, issue 0, DOI 10.1080/17477778.2025.2485231, issn 17477778, eissn 17477786 - 2025 - в издания, индексирани в Scopus

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus