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Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL)

Author

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  • Mariusz Kmiecik

    (Department of Organizational and Management, Logistics Institute, Silesian University of Technology, 41800 Zabrze, Poland)

Abstract

Currently, there is still a strong trend in research and in the market connected with the role of 3PL (third-party logistics) companies and the trend of developing and creating coordination in logistics networks. The most important issue for the following paper is the examination of the 3PL enterprise, which is able to create the demand forecasts to gain the functions of logistics coordination in the fields of inventory management and transportation planning. This research paper focuses on showing the demand forecasting tool results for 29 chosen distribution networks (in this paper, the traditional forecasting methods were used based on time series exponential smoothing, ARIMA, machine learning and neural-network-based methods, created in the R programming environment). In the next steps, the forecasting results were compared in the conditions of transportation planning and inventory management (in the conditions of “future” dynamic ABC analysis). The forecasting function supports the inventory management and transportation planning activity of 3PL as a key element of logistics coordination in distribution networks. The proper way to transfer the results of forecasting to an ABC analysis and transportation planning concept is to create a cloud-based system supported by data from the WMS (warehouse management system), while providing the possibility of results visualization by using some BI (business intelligence) solutions or different tools to create managerial information dashboards. Currently, one of the most efficient models connected with logistics coordination is the centralized network with 3PL responsible for planning and executing logistics processes with the creation of additional value. As such, 3PL is able to create a similar forecast for different types of DN and with different aggregations (per SKU or per recipient). It could support coordination in DN from the point of view of inventory management and transportation planning.

Suggested Citation

  • Mariusz Kmiecik, 2022. "Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL)," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:8134-:d:855106
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    References listed on IDEAS

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    1. Chan, Chi Kin & Man, Nora & Fang, Fei & Campbell, J.F., 2020. "Supply chain coordination with reverse logistics: A vendor/recycler-buyer synchronized cycles model," Omega, Elsevier, vol. 95(C).
    2. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    3. Davidson de Almeida Santos & Osvaldo Luiz Gonçalves Quelhas & Carlos Francisco Simões Gomes & Luis Perez Zotes & Sérgio Luiz Braga França & Guilherme Vinagre Pinto de Souza & Robson Amarante de Araújo, 2020. "Proposal for a Maturity Model in Sustainability in the Supply Chain," Sustainability, MDPI, vol. 12(22), pages 1-37, November.
    4. Adile Yesim Yayla & Asil Oztekin & Alev Taskin Gumus & Angappa Gunasekaran, 2015. "A hybrid data analytic methodology for 3PL transportation provider evaluation using fuzzy multi-criteria decision making," International Journal of Production Research, Taylor & Francis Journals, vol. 53(20), pages 6097-6113, October.
    5. Hyoduk Shin & Tunay I. Tunca, 2010. "Do Firms Invest in Forecasting Efficiently? The Effect of Competition on Demand Forecast Investments and Supply Chain Coordination," Operations Research, INFORMS, vol. 58(6), pages 1592-1610, December.
    6. Liu, Weihua & Liu, Yang & Zhu, Donglei & Wang, Yijia & Liang, Zhicheng, 2016. "The influences of demand disruption on logistics service supply chain coordination: A comparison of three coordination modes," International Journal of Production Economics, Elsevier, vol. 179(C), pages 59-76.
    7. Kaur Arshinder & Arun Kanda & S. G. Deshmukh, 2011. "A Review on Supply Chain Coordination: Coordination Mechanisms, Managing Uncertainty and Research Directions," International Handbooks on Information Systems, in: Tsan-Ming Choi & T.C. Edwin Cheng (ed.), Supply Chain Coordination under Uncertainty, pages 39-82, Springer.
    8. Marzena Kramarz & Mariusz Kmiecik, 2022. "Quality of Forecasts as the Factor Determining the Coordination of Logistics Processes by Logistic Operator," Sustainability, MDPI, vol. 14(2), pages 1-23, January.
    9. Mohammadali Vosooghidizaji & Atour Taghipour & Béatrice Canel-Depitre, 2020. "Supply chain coordination under information asymmetry: a review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1805-1834, March.
    10. Tanzina Afrin & Nita Yodo, 2020. "A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System," Sustainability, MDPI, vol. 12(11), pages 1-23, June.
    11. Arya, Anil & Löffler, Clemens & Mittendorf, Brian & Pfeiffer, Thomas, 2015. "The middleman as a panacea for supply chain coordination problems," European Journal of Operational Research, Elsevier, vol. 240(2), pages 393-400.
    12. Tsan-Ming Choi & Stein W Wallace & Yulan Wang, 2016. "Risk management and coordination in service supply chains: information, logistics and outsourcing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 159-164, February.
    13. Jeanine Miklós-Thal & Catherine Tucker, 2019. "Collusion by Algorithm: Does Better Demand Prediction Facilitate Coordination Between Sellers?," Management Science, INFORMS, vol. 65(4), pages 1552-1561, April.
    14. Sarkar, Biswajit & Guchhait, Rekha & Sarkar, Mitali & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "How does an industry manage the optimum cash flow within a smart production system with the carbon footprint and carbon emission under logistics framework?," International Journal of Production Economics, Elsevier, vol. 213(C), pages 243-257.
    15. Myoungsoo Kim & Wonik Choi & Youngjun Jeon & Ling Liu, 2019. "A Hybrid Neural Network Model for Power Demand Forecasting," Energies, MDPI, vol. 12(5), pages 1-17, March.
    16. Arshinder & Kanda, Arun & Deshmukh, S.G., 2008. "Supply chain coordination: Perspectives, empirical studies and research directions," International Journal of Production Economics, Elsevier, vol. 115(2), pages 316-335, October.
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