Coordination of transportation operations by 3PL based on real-time cloud data

• Autorzy: Kmiecik Mariusz

Identyfikatory

DOI

10.29119/1641-3466.2023.168.15

• Języki publikacji: EN

Abstrakty

EN

Purpose: Main aim of the following paper is to present the conception of logistics coordination from the point of view of transportation actions from the perspective of the international 3PL company. Design/methodology/approach: In the paper used the case study based on the case of chosen international 3PL, where the distribution network was analyzed. Findings: 3PL is able to support the transportation planning operation in the considered distribution network by using a developed cloud-based infrastructure that supports demand forecasting tool and transportation planning. Originality/value: Paper connects the one function of logistics coordination – transportation planning – with the demand forecasting tool and the issues of 3PL. It is also shown the case study with implemented solution based on cloud infrastructure to support the transportation operations.

Słowa kluczowe

EN

3PL; logistics service provider; distribution network; transportation; logistics coordination

PL

3PL; dostawca usług logistycznych; sieć dystrybucyjna; transport; koordynacja logistyki

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2023
• Tom: z. 168
• Strony: 199--215
• Opis fizyczny: Bibliogr. 42 poz.

Twórcy

autor

Kmiecik Mariusz

• Silesian University of Technology

• https://orcid.org/0000-0003-2015-1132

Bibliografia

• 1. Abbasi, M., Rafiee, M., Khosravi, M.R., Jolfaei, A., Menon, V.G., Koushyar, J.M. (2020). An efficient parallel genetic algorithm solution for vehicle routing problem in cloud implementation of the intelligent transportation systems. Journal of cloud Computing, 9(1), 1-14.
• 2. Agalianos, K., Ponis, S.T., Aretoulaki, E., Plakas, G., Efthymiou, O. (2020). Discrete event simulation and digital twins: review and challenges for logistics. Procedia Manufacturing, 51, 1636-1641.
• 3. Ashrafian, A., Pettersen, O.G., Kuntze, K.N., Franke, J., Alfnes, E., Henriksen, K.F., Spone, J. (2019, September). Full-scale discrete event simulation of an automated modular conveyor system for warehouse logistics. IFIP International Conference on Advances in Production Management Systems. Cham: Springer, pp. 35-42.
• 4. Bayliss, C., Martins, L.D.C., Juan, A.A. (2020). A two-phase local search with a discrete- event heuristic for the omnichannel vehicle routing problem. Computers & Industrial Engineering, 148, 106695.
• 5. Bergmann, F.M., Wagner, S.M., Winkenbach, M. (2020). Integrating first-mile pickup and last-mile delivery on shared vehicle routes for efficient urban e-commerce distribution. Transportation Research Part B: Methodological, 131, 26-62.
• 6. Centobelli, P., Cerchione, R., Esposito, E. (2017). Environmental sustainability in the service industry of transportation and logistics service providers: Systematic literature review and research directions. Transportation Research Part D: Transport and Environment, 53, 454-470.
• 7. de Borba, J.L.G., de Magalhães, M.R., Filgueiras, R.S., Bouzon, M. (2020). Barriers in omnichannel retailing returns: a conceptual framework. International Journal of Retail & Distribution Management.
• 8. Deng, H.W., Rahman, M., Chowdhury, M., Salek, M.S., Shue, M. (2020). Commercial cloud computing for connected vehicle applications in transportation cyberphysical systems: A case study. IEEE Intelligent Transportation Systems Magazine, 13(1), 6-19.
• 9. Ehrler, V.C., Schöder, D., Seidel, S. (2021). Challenges and perspectives for the use of electric vehicles for last mile logistics of grocery e-commerce – Findings from case studies in Germany. Research in Transportation Economics, 87, 100757.
• 10. Fabbe-Costes, N., Jahre, M., Roussat, C. (2009). Supply chain integration: the role of logistics service providers. International Journal of productivity and performance management.
• 11. Grzelak, M., Borucka, M., Buczyński, Z. (2019). Forecasting the demand for transport services on the example of a selected logistic operator. Archives of Transport, vol. 52, pp. 81-93.
• 12. Halldorsson, A., Wehner, J. (2020). Last-mile logistics fulfilment: A framework for energy efficiency. Research in Transportation Business & Management, 37, 100481.
• 13. Hu, X., Fu, K., Chen, Z., Du, Z. (2022). Decision-Making of Transnational Supply Chain Considering Tariff and Third-Party Logistics Service. Mathematics, 10(5), 770.
• 14. Jagtap, S., Bader, F., Garcia-Garcia, G., Trollman, H., Fadiji, T., Salonitis, K. (2020). Food logistics 4.0: Opportunities and challenges. Logistics, 5(1), 2.
• 15. Kmiecik, M. (2022). Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL). Sustainability, 14(13), 8134.
• 16. Kramarz, M., Dohn, K., Przybylska, E., Knop, L. (2020). Scenarios for the development of multimodal transport in the TRITIA Cross-Border Area, vol. 12, pp. 7021
• 17. Kramarz, M., Kmiecik, M. (2022). Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator. Sustainability, 14(2), 1013.
• 18. Kuo, S.Y., Yang, C.C., Lai, P.L. (2020). Determining inland logistics service attributes: a case study of Chinese landlocked regions. Maritime Business Review.
• 19. Lafkihi, M., Pan, S., Ballot, E. (2019). Freight transportation service procurement: A literature review and future research opportunities in omnichannel E-commerce. Transportation Research Part E: Logistics and Transportation Review, 125, 348-365.
• 20. Langley, C.J., Novack, R.A., Gibson, B., Coyle, J.J. (2020). Supply chain management: a logistics perspective. Cengage Learning.
• 21. Lin, C.Y. (2008). Determinants of the adoption of technological innovations by logistics service providers in China. International Journal of Technology Management & Sustainable Development, 7(1), 19-38.
• 22. Lin, Y.H., Wang, Y., Lee, L.H., Chew, E.P. (2022). Omnichannel facility location and fulfillment optimization. Transportation Research Part B: Methodological, 163, 187-209.
• 23. Liu, C., Ke, L. (2022). Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city. Journal of Control and Decision, 1-14.
• 24. Mangla, S.K., Sharma, Y.K., Patil, P.P., Yadav, G., Xu, J. (2019). Logistics and distribution challenges to managing operations for corporate sustainability: study on leading Indian diary organizations. Journal of Cleaner Production, 238, 117620.
• 25. Marchet, G., Melacini, M., Perotti, S. (2014). Environmental sustainability in logistics and freight transportation: A literature review and research agenda. Journal of Manufacturing Technology Management.
• 26. Melanici, M., Marchet, G., Perotti, S. (2013). An exploratory study of TMS adoption in the 3PL industry. AWERProcedia Information Technology & Computer Science, vol. 3, pp. 1390-1399
• 27. Mishra, R., Singh, R.K., Koles, B. (2021). Consumer decision‐ making in Omnichannel retailing: Literature review and future research agenda. International Journal of Consumer Studies, 45(2), 147-174.
• 28. Multaharju, S., Hallikas, J. (2015). Logistics service capabilities of logistics service provider. International Journal of Logistics Systems and Management, 5, 20(1), 103-121.
• 29. Nel, J., De Goede, E., Niemann, W. (2018). Supply chain disruptions: Insights from South African third-party logistics service providers and clients. Journal of Transport and Supply Chain Management, 12(1), 1-12.
• 30. Nemoto, T., Tezuka, K. (2002). Advantage of third party logistics in supply chain management. OAI.
• 31. Paul, A., Moktadir, M.A., Paul, S.K. (2020). An innovative decision-making framework for evaluating transportation service providers based on sustainable criteria. International Journal of Production Research, 58(24), 7334-7352.
• 32. Robas, K.P.E., Valimento, J.C.D., German, J.D. (2020). Performance Measurement of 3PL Service Providers for Online Retailers in the Philippines.
• 33. Ruthramathi, R., Sivakumar, V. (2020). Digital technology on third-party logistics service providers in supply chain: Tamil Nadu.
• 34. Shu, P., Sun, Y., Xie, B., Xu, S.X., Xu, G. (2021). Data-driven shuttle service design for sustainable last mile transportation. Advanced Engineering Informatics, 49, 101344.
• 35. Sitadewi, D., Okdinawati, L., Farmaciawaty, D.A., Rahadi, R.A. (2018). The conceptual framework of horizontal collaborative transportation management in Indonesian trucking industry. International Journal of Modern Trends in Business Research, 3(4), 42-58.
• 36. Torre-Bastida, A.I., Del Ser, J., Laña, I., Ilardia, M., Bilbao, M.N., Campos-Cordobés, S. (2018). Big Data for transportation and mobility: recent advances, trends and challenges. IET Intelligent Transport Systems, 12(8), 742-755.
• 37. Tran-Dang, H., Krommenacker, N., Charpentier, P., Kim, D.S. (2022). The Internet of Things for logistics: Perspectives, application review, and challenges. IETE Technical Review, 39(1), 93-121.
• 38. Wang, Ch.-N., Day, J.-D., Nguyen, T.-K.-L. (2018a). Applying EBM and Grey forecasting to assess efficiency of third-party logistics providers. Journal of Advanced Transportation, vol. 2108, pp. 44575.
• 39. Wang, J., Lim, M.K., Zhan, Y., Wang, X. (2020b). An intelligent logistics service system for enchacing dispatching operations in an IoT environment. Transportation Research Part E, vol. 135, pp. 101886.
• 40. Wang, M., Wood, L.C., Wang, B. (2022). Transportation capacity shortage influence on logistics performance: evidence from the driver shortage. Heliyon, e09423.
• 41. Xu, G., Li, M., Luo, L., Chen, C.H., Huang, G.Q. (2019). Cloud-based fleet management for prefabrication transportation. Enterprise Information Systems, 13(1), 87-106.
• 42. Yayla, A., Oztekin, A., Gumus, A.T., Gunasekaran, A. (2015). A hybrid data analytic methodology for 3PL transportation provider evaluation using fuzzy multicriteria decision making. International Journal of Production Research, pp. 44579.