Have a personal or library account? Click to login
Enhanced Green Logistics: Sustainable Distribution and Warehousing with IMU Positioning Cover

Enhanced Green Logistics: Sustainable Distribution and Warehousing with IMU Positioning

By: Xiangfeng Wu  
Open Access
|Jul 2024

References

  1. Konstantakopoulos GD, Gayialis SP, Kechagias EP. Vehicle routing problem and related algorithms for logistics distribution: A literature review and classification. Operational Res. 2022;22:2033-62. DOI: 10.1007/s12351-020-00600-7.
  2. Amling A, Daugherty PJ. Logistics and distribution innovation in China. Int J Physical Distribution Logistics Manage. 2018;50(3):323-32. DOI: 10.1108/IJPDLM-07-2018-0273.
  3. Song Y, Yu FR, Zhou L, Yang X, He Z. Applications of the Internet of Things (IoT) in smart logistics: A comprehensive survey. IEEE Internet of Things J. 2020;8(6):4250-74. DOI: 10.1109/JIOT.2020.3034385.
  4. Melkonyan A, Gruchmann T, Lohmar F, Kamath V, Spinler S. Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks. Int J Production Economics. 2020;228:107746. DOI: 10.1016/j.ijpe.2020.107746.
  5. Van Goor AR, van Amstel WP, van Amstel MP. Europ Distribution and Supply Chain Logistics. Routledge. 2019. DOI: 10.4324/9781003021841.
  6. Paciarotti C, Torregiani F. The logistics of the short food supply chain: A literature review. Sust Prod Consumption. 2021;26:428-42. DOI: 10.1016/j.spc.2020.10.002.
  7. Al Theeb N, Smadi HJ, Al-Hawari TH, Aljarrah MH. Optimisation of vehicle routing with inventory allocation problems in Cold Supply Chain Logistics. Computers Industrial Eng. 2020;142:106341. DOI: 10.1016/j.cie.2020.106341.
  8. Wu CH, Tsai SB, Liu W, Shao XF, Xia YK, Wacławek M. Green environment and sustainable development: methods and applications. Ecol Chem Eng S. 2021;28(4):467-70. DOI: 10.2478/eces-2021-0030.
  9. Liu W, Tsai SB, Wu CH, Shao X, Wacławek M. Corporate environmental management and sustainable operation: theory and application. Ecol Chem Eng S. 2022;29(3):283-5. DOI: 10.2478/eces-2022-0020.
  10. Li T, Donta PK. Predicting green supply chain impact with SNN-stacking model in digital transformation context. J Organizational End User Computing (JOEUC). 2023;35(1):1-19. DOI: 10.4018/JOEUC.334109.
  11. Golpîra H, Khan SAR, Safaeipour S. A review of logistics internet-of-things: Current trends and scope for future research. J Industrial Informat Integration. 2021;22:100194. DOI: 10.1016/j.jii.2020.100194.
  12. Ding Y, Jin M, Li S, Feng D. Smart logistics based on the internet of things technology: an overview. Int J Logistics Res Appl. 2021;24(4):323-45. DOI: 10.1080/13675567.2020.1757053.
  13. Wu CH. An empirical study on selection, evaluation, and management strategies of green suppliers in manufacturing enterprises. J Organizational End User Computing (JOEUC). 2022;34(1):1-18. DOI: 10.4018/JOEUC.307568.
  14. Pan W, Liu SQ. Deep reinforcement learning for the dynamic and uncertain vehicle routing problem. Appl Intelligence. 2022;53(1):405-22. DOI: 10.1007/s10489-022-03456-w.
  15. Lei S, Chen C, Li Y, Hou Y. Resilient disaster recovery logistics of distribution systems: Co-optimise service restoration with repair crew and mobile power source dispatch. IEEE Trans Smart Grid. 2018;10(6):6187-202. DOI: 10.1109/TSG.2019.2899353.
  16. Lemonte AJ. The beta log-logistic distribution. Braz J Probab Stat. 2014;28(3):313-32. DOI: 10.1214/12-BJPS209.
  17. Saber MM, Yousof H. Bayesian and classical inference for generalised stress-strength parameter under generalised logistic distribution. Statistics. Optimisation Information Computing. 2023;11(3):541-53. DOI: 10.19139/soic-2310-5070-1292.
  18. Rushton A, Croucher P, Baker P. The Handbook of Logistics and Distribution Management: Understanding the Supply Chain. Kogan Page Publishers. 2010. DOI: 10.1108/ijppm.2005.07954bae.001.
  19. Zhang Y, Kou X, Song Z, Fan Y, Usman M, Jagota V. Research on logistics management layout optimisation and real-time application based on nonlinear programming. Nonlinear Eng. 2022;10(1):526-34. DOI: 10.1515/nleng-2021-0043.
  20. Alshurideh M, Alquqa E, Alzoubi H, Alkurdi B, Hamadneh S. The effect of information security on e-supply chain in the UAE logistics and distribution industry. Uncertain Supply Chain Manage. 2023;11(1):145-52. DOI: 10.5267/j.uscm.2022.11.001.
  21. Ramadan AT, Tolba AH, El-Desouky BS. A unit half-logistic geometric distribution and its application in insurance. Axioms. 2022;11(12): 676. DOI: 10.3390/axioms11120676.
  22. Yang M, Mahmood M, Zhou X, Shafaq S, Zahid L. Design and implementation of cloud platform for intelligent logistics in the trend of intellectualization. China Commun. 2017;14(10):180-91. DOI: 10.1109/CC.2017.8107642.
  23. Nuanmeesri S. Mobile application for the purpose of marketing, product distribution and location-based logistics for elderly farmers. Appl Computing Informatics. 2023;19(1/2):2-21. DOI: 10.1016/j.aci.2019.11.001.
  24. Bai Q, Yin X, Lim MK, Dong C. Low-carbon VRP for cold chain logistics considering real-time traffic conditions in the road network. Ind Manage Data Systems. 2022;122(2):521-43. DOI: 10.1108/IMDS-06-2020-0345.
  25. Sun Z, Wang Q, Chen L, Hu C. Unmanned technology-based civil-military intelligent logistics system: from construction to integration. J Beijing Inst Technol. 2022;31(2):140-51. DOI: 10.15918/j.jbit1004-0579.2022.010.
  26. Gayialis SP, Kechagias EP, Konstantakopoulos GD. A city logistics system for freight transportation: Integrating information technology and operational research. Operational Res. 2022;22(5):5953-82. DOI: 10.1007/s12351-022-00695-0.
  27. Fernie J, Sparks L, McKinnon AC. Retail logistics in the UK: past, present and future. Int J Retail Distribution Manage. 2010;38(11/12):894-914. DOI: 10.1108/09590551011085975.
  28. Mishra S, Singh SP. Designing dynamic reverse logistics network for post-sale service. Annals Operations Res. 2022:1-30. DOI: 10.1007/s10479-020-03710-9.
  29. Keshavarz-Ghorabaee M. Assessment of distribution center locations using a multi-expert subjective-objective decision-making approach. Sci Rep. 2021;11:19461. DOI: 10.1038/s41598-021-98698-y.
  30. Cai W, Song Y, Duan H, Xia Z, Wei Z. Multi-feature fusion-guided multiscale bidirectional attention networks for logistics pallet segmentation. Computer Modeling Eng Sci. 2022;131(3):1539-55. DOI: 10.32604/cmes.2022.019785.
DOI: https://doi.org/10.2478/eces-2024-0016 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
Language: English
Page range: 225 - 241
Published on: Jul 10, 2024
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2024 Xiangfeng Wu, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.