International Journal of Computer Science & Network Security

국제컴퓨터통신보호논문지학회 (International Journal of Computer Science & Network Security)
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Economic and Information Principles for Cargo Delivery Management in Global Network Supply Chains

  • 투고 : 2021.12.05
  • 발행 : 2021.12.30
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초록

The study is devoted to the formation of a economic principles cargo delivery management in global supply chains. Mathematical model of delivering special categories of goods by road is a key element of these principles. The article analyzes the existing studies on solving the problem of cargo delivery in various aspects. It was noted that the greatest attention is paid to legal regulation, last mile delivery, optimization of routes and delivery schemes, information support, technological innovations, cluster routing, etc. In the developed mathematical model a minimum of total costs of forming loading units and freight shipments was defined as the criterion of optimality of organizing delivery by motor transport. The authors propose the creation of logistics clusters allowing the integration of urban transport flows and global supply chains.

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참고문헌

  1. Belegu, M. Time of goods delivery, fullfilment of an obligation by seller, Available at: https://www.researchgate.net/publication/313837393_TIME_OF_GOODS_DELIVERY_FULLFILMENT_OF_AN_OBLIGATION_BY_SELLER (2014)
  2. Abadi, M. H., & Kalkoshki, A. A. Delivery of Goods on International Sales. Journal of Politics and Law, 10(4), 100-107. (2017) https://doi.org/10.5539/jpl.v10n4p100
  3. Acimovic, S., Mijuskovic, V., & Milosevic, N. Logistics aspects of goods home delivery: the case of Amazon company. Marketing, 51(1), 3-11. (2020) https://doi.org/10.5937/markt2001003a
  4. Lagorio, A., & Pinto, R. The parcel locker location issues: an overview of factors affecting their location. Interconnected Supply Chains in an Era of Innovation-Proceedings of the 8th International Conference on Information Systems, Logistics and Supply Chain, ILS 2020, 414-421. (2020).
  5. Pourrahmani, E., & Jaller M. Crowdshipping in last mile deliveries: Operational challenges and research opportunities. Socio-Economic Planning Sciences, 101063. (2021)
  6. Perboli, G., Brotcorne, L., Bruni, M. E., & Rosano, M. A new model for Last-Mile Delivery and Satellite Depots management: The impact of the on-demand economy. Transportation Research Part E Logistics and Transportation Review, 145(1), 102-184. (2021)
  7. Huang, K., & Ardiansyah, M. N. A decision model for last-mile delivery planning with crowdsourcing integration. Computers & Industrial Engineering, 135, 898-912. (2019) https://doi.org/10.1016/j.cie.2019.06.059
  8. Ozturk, O., & Patrick, J. An optimization model for freight transport using urban rail transit. European Journal of Operational Research, 267( 3), 1110-1121. (2018) https://doi.org/10.1016/j.ejor.2017.12.010
  9. Oliveira, L.K, Abreu, B R. A., Lessa, D.A., Barbosa, I. A., Carvalho, D. B. F., Sachetto, R., & Reioli, E. C. Evaluate of collaborative transit system to urban goods delivery: an exploratory study in Belo Horizonte (Brazil). Transportation Research Procedia, 25, 928-941. (2017) https://doi.org/10.1016/j.trpro.2017.05.467
  10. Khanin, S., Arefieva O., Dergaliuk, M., Popelo, O., & Tulchynska, S. Concepts of the activation of intellectual and innovative determinants for the development intensification of regional economic systems. Laplage em Revista, 7 (E), 234-244. (2021) https://doi.org/10.24115/S2446-622020217Extra-E1180p.234-244
  11. Korytko, T; Bryl, I; Piletska, S; Arefieva, O; & Arefiev, S. Strategy of innovative development of an enterprise on the basis of evaluation of its intellectual capital. Natsional'nyi Hirnychyi Universytet. Naukovyi Visnyk, 3, 134-141. (2021)
  12. Bondarenko, O., Palyvoda, O., & Kyrylenko, O. (2018). Development of a model for the estimation of financial processes in logistic systems at industrial enterprises. Eastern-European Journal of Enterprise Technologies, 5(1(95), 6-16. (2018) https://doi.org/10.15587/1729-4061.2018.142628
  13. Galkin, A., Popova, Yu., Chuprina, E., & Shapovalenko, D. Interaction of logistics 4.0 and Consumer Oriented Marketing Using. ICT Proc. of the 33rd Int. Business Information Management Association Conf. (Granada: IBIMA), 6751-6760. (2019)
  14. Chandra, S., Christiansen, M, & Fagerholt, K. (2020). Analysing the modal shift from road-based to coastal shipping-based distribution - a case study of outbound automotive logistics in India. Maritime Policy & Management, 47(2), 1-14. (2020) https://doi.org/10.1080/03088839.2019.1657971
  15. Ormevik, A.B., Fagerholt, K., & Erikstad, S. O. Evaluating the potential for modal shift in last-mile cargo distribution through stochastic programming. Maritime Transport Research, 1, 100002. (2020) https://doi.org/10.1016/j.martra.2020.100002
  16. Tamannaei, M., Zarei, H., & Rasti-Barzoki, M. A game theoretic approach to sustainable freight transportation. Competition between road and intermodal road-rail systems with government intervention. Transportation Research Part B: Methodological, 153, 272-295. (2021) https://doi.org/10.1016/j.trb.2021.09.002
  17. Kellner, F., & Schneiderbauer, M. Further insights into the allocation of greenhouse gas emissions to shipments in road freight transportation. The pollution routing game. European Journal of Operational Research, 278, 296-313. (2019) https://doi.org/10.1016/j.ejor.2019.04.007
  18. Zilka, M., Stieberova, B., & Scholz, P. Sustainability evaluation of the use of cargo-trams for mixed municipal waste transport in Prague. Waste Management, 126, 97-105. (2021) https://doi.org/10.1016/j.wasman.2021.02.053
  19. Wei, H., & Lee, P. T.-W. Designing a coordinated horizontal alliance system for China's inland ports with China railway express platforms along the Silk Road Economic Belt. Transportation Research Part E: Logistics and Transportation Review, 147, 102-138. (2021)
  20. Archetti, C., & Peirano, L. (2020). Air intermodal freight transportation: The freight forwarder service problem. Omega, 94, 102-140. (2020)
  21. Bo, W., Grygorak M., Voitsehovskiy, V., Lytvynenko, S., Gabrielova, T., Lytvynenko, L. & Ivanov, Y. Assessment of the implementation of a cargo traffic management system. Comptes rendus de l'Academie bulgare des Sciences, 72(4), 503-509. (2019)
  22. Hu, Z-H., & Wei, C. Synchronizing vehicles for multi-vehicle and one-cargo transportation. Computers and Industrial Engineering, 119, 36-49. (2018) https://doi.org/10.1016/j.cie.2018.03.023
  23. Naumov, V., Vasiutina, H., & Solarz, A. Modeling demand for deliveries by cargo bicycles in the Old Town of Krakow. Transportation Research Procedia, 52, 11-18. (2021) https://doi.org/10.1016/j.trpro.2021.01.003
  24. Savchenko, L., Polishchuk, V., & Grygorak, M. Interaction of participants of urban freight consolidation of different levels. Management and Entrepreneurship: Trends of Development, 3 (09), 89-106. (2019) https://doi.org/10.26661/2522-1566/2019-3/09-07
  25. Budak, A., & Coban, V. Evaluation of the impact of blockchain technology on supply chain using cognitive maps. Expert Systems with Applications, 184, 115-155. (2021)
  26. Budak, A., Ustundag, A., & Guloglu, B. An Optimal Customized Pricing Strategy for Truckload Transportation. Handbook of Research on Decision Sciences and Applications in the Transportation Sector, 257-279. (2021)