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Modelling of e-commerce packing line in the warehouse – case study

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Języki publikacji
EN
Abstrakty
EN
Purpose: The purpose of this paper is to create a simulation model of a packing line in an e-commerce activity from the perspective of a logistics operator, along with identifying recommendations for further model improvement as part of digital transformation. Design/methodology/approach: This paper uses results obtained by simulation analysis of a computer model of a process built in BPMN 2.0 notation. Data for the model was collected from process analysis, analysis of data obtained from WMS and sensors on the packaging line and from participant observation in the process. Findings: Based on the analysis, it can be concluded that the logistics operator is able to create a simulation model of the process and optimise its operations using the simulation results. The model presented can also be the basis for building a Digital Twin in the distribution network for e-commerce flows. Practical implications: The logistics operator can extend its package of services to include the construction of simulation models and, in future, can also take on the task of creating value for the network on the basis of the Digital Twin created. Originality/value: The paper presents a real-life case study related to the first phase of Digital Twin implementation, namely the creation of a simulation model to create value in the flows and improve the logistics processes involved in serving the e-commerce market.
Rocznik
Tom
Strony
329--344
Opis fizyczny
Bibliogr. 29 poz.
Bibliografia
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  • 4. Cao, K., Xu, Y., Wu, Q., Wang, J., Liu, Ch. (2021). Optimal channel and logistics service selection strategies in the ecommerce context, vol. 48, 101070.
  • 5. Cichosz, M. (2018). Otwarte innowacje: technologiczne partnerstwa w branży usług logistycznych. Gospodarka Materiałowa i Logistyka.
  • 6. Cichosz, M., Wallenburg, C.M., Knemeyer, A.M. (2020). Digital transformation at logistics service providers: barriers, success factors and leading practices. The International Journal of Logistics Management, vol. 31, pp. 209-218.
  • 7. Delfman, W., Albers, S., Gehring, M. (2002). The impact of electronic commerce on logiostics service providers. International Journal of Physical Distribution & Logistics Management, vol. 32, pp. 203-222.
  • 8. Drożdż, W. (2018). Operator systemu dystrybucji w dobie wyzwań innowacyjnej energetyki. Zeszyty Naukowe Instytutu Gospodarki Surowcami Mineralnymi i Energia Polskiej Akademii Nauk, nr 102.
  • 9. Grabowska, J. (2012). Outsourcing usług logistycznych. Zeszyty Naukowe. Organizacja i Zarządzanie. Politechnika Śląska, 83-96.
  • 10. Gruchmann, T., Pratt, N., Eiten, J., Melkonyan, A. (2020). 4PL digital business models in sea freight logistics: the case of freighthub. Logistics, vol. 4.
  • 11. Guo, D., Zhong R.Y., Rong, Y., Huang, G.G.Q. (2021). Synchronization of shop-floor logistics and manufacturing under IIoT and digital twin-enabled graduation intelligent manufacturing system. IEEE Transactions on cybernetics.
  • 12. Gyulai, D., Bergman, J. (2020). Simulation-based digital twin of a complex shop-floor logistics system. Proceedings of the 2020 Winter Simulation Conference.
  • 13. Jiang, Y., Lai, P., Chang, Ch-H., Yuen, K.F., Li, S., Wang, X. (2021). Sustainable management for fresh food e-commerce logistics services. Sustainability, vol. 13, 3456.
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  • 15. Kawa, A. (2017). Fulfillment service in e-commerce logistics. Logforum, vol. 13, pp. 429438.
  • 16. Kisielnicki, J. (2015). Wpływ technologii informatycznych na tworzenie i rozwój organizacji sieciowych. Przegląd Organizacji, nr 6.
  • 17. Kmiecik, M. (2022). Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL). Sustainability, 14, 8134. https://doi.org/10.3390/su14138134.
  • 18. Kong, X.T.R, Zhong, R.Y., Zhao, Z., Shao, S., Li, M., Lin, P., Chen, Y., Wu, W., Shen, L., Yu, Y., Huang, G.Q. (2020). Cyber physical ecommerce logistics system: an implementation case in Hong Kong. Computers & Industrial Engineering, vol. 139, 106170.
  • 19. Korth, B., Schwede, Ch., Zajac, M. (2018). Simulation-ready digital twin for realtime management of logistics system. IEEE International Conference on Big Data (Big Data).
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  • 21. Kramarz, M., Kmiecik, M. (2022). Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator. Sustainability, 14, 1013. https://doi.org/10.3390/su14021013.
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  • 24. Li, M., Huang, G.Q. (2019). Blockchain-enabled workflow management system for finegrained resource sharing in e-commerce logistics. IEEE 15th International Conference on Automation Science and Engineering (CASE).
  • 25. Moldabelkova, A., Philipp, R., Reimers, H-E. (2021). Digital technologies for improving logistics performance of countries.
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  • 27. Park, K.T., Son, Y.H., Noh, S.D. (2020). The architectural framework of a cyber physical logistics system for digital twin based supply chain control. International Journal of Production Research.
  • 28. Qin, Z., Liu, Z., Tian, L. (2020). The strategic analysis of logistics service sharing in an ecommerce platform. Omega, 102153.
  • 29. Rai, H.B., Verlinde, S., Macharis, C. (2018). How are logistics service providers adapting to omnichannel retail? IFAC PapersOnLine, vol. 51-11, pp. 588-593.
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-53ca942c-4b05-42f4-a038-ccc898296d0f
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