Optimization of merchandise delivery logistics: case studies at Bejaia port

Authors

DOI:

https://doi.org/10.15587/2706-5448.2024.303541

Keywords:

goods delivery, goods delivery logistics, port logistics, transport problem, accessibility matrix

Abstract

The object of the study is the logistics of goods delivery by ports. This study presents a methodology designed to improve the efficiency of goods delivery logistics at the Bejaia port (Algeria). It prioritizes the optimization of empty container allocation to the ZEP zone, taking into account the geographical accessibility of the Tixter area, aiming to reduce the high costs linked with goods transportation. At the core of this strategy lies the use of simulation techniques to optimize truck fleets, ensuring maximum utilization rates and effective management of delivery operations by the Bejaia Mediterranean Terminal (BMT) for its clients. Addressing this challenge, the study offers an exhaustive analysis, integrating truck assignment models and accessibility assessments of logistic zones. The results highlight the paramount significance of optimal resource allocation and synchronized client coordination for achieving streamlined goods delivery. It becomes apparent that employing these methodologies can yield substantial productivity improvements, emphasizing their pivotal role in strengthening the port's logistical infrastructure.

Via rigorous analysis and insights derived from data, this study elucidates avenues towards achieving operational excellence within the logistical infrastructure of the port. By harnessing innovative strategies to confront persistent challenges, such as optimizing truck fleets and strategically allocating resources, the research anticipates a profound transformation in the efficiency and cost-effectiveness of goods delivery operations. Ultimately, the integration of these methodologies holds the potential to propel the port of Bejaia towards enduring success and a competitive edge in the ever-evolving landscape of global trade. Through extensive efforts, this strategy can be extended to other national and international ports operating under similar conditions, as it provides valuable information and methodologies to optimize logistics and transportation operations.

Author Biographies

Noureddine Azzam, Mentouri Brothers University Constantine1

Associate Professor

Department of Mechanic Engineering

Laboratory of Transports and Environment Engineering

Fouad Guerdouh, Mentouri Brothers University Constantine1

Associate Professor

Department of Mechanic Engineering

Laboratory of Transports and Environment Engineering

Rachid Chaib, Mentouri Brothers University Constantine1

Professor

Department of Mechanic Engineering

Laboratory of Transports and Environment Engineering

Djamel Nettour, National Higher School of Engineering and Technology

Associate Professor

Department of Mining, Metallurgy and Materials Engineering

Laboratory of Mineral Resources Valorization and environment (LAVAMINE)

References

  1. Raja Santhi, A., Muthuswamy, P. (2022). Pandemic, War, Natural Calamities, and Sustainability: Industry 4.0 Technologies to Overcome Traditional and Contemporary Supply Chain Challenges. Logistics, 6 (4), 81. doi: https://doi.org/10.3390/logistics6040081
  2. Foster, M. N., Rhoden, S. L. N. H. (2020). The integration of automation and artificial intelligence into the logistics sector. Worldwide Hospitality and Tourism Themes, 12 (1), 56–68. doi: https://doi.org/10.1108/whatt-10-2019-0070
  3. Dalaklis, D., Nikitakos, N., Papachristos, D., Dalaklis, A. (2023). Opportunities and challenges in relation to big data analytics for the shipping and port industries. Smart Ports and Robotic Systems: Navigating the Waves of Techno-Regulation and Governance, 267–290. doi: https://doi.org/10.1007/978-3-031-25296-9_14
  4. Chen, W., Botchie, D., Braganza, A., Han, H. (2022). A transaction cost perspective on blockchain governance in global value chains. Strategic Change, 31 (1), 75–87. doi: https://doi.org/10.1002/jsc.2487
  5. Sheikh, W., Chowdhury, M. M. H., Mahmud, K. K. (2023). A comprehensive performance measurement model for maritime Logistics: Sustainability and policy approach. Case Studies on Transport Policy, 14, 101097. doi: https://doi.org/10.1016/j.cstp.2023.101097
  6. Havenga, J., Simpson, Z., Goedhals-Gerber, L. (2017). International trade logistics costs in South Africa: Informing the port reform agenda. Research in Transportation Business & Management, 22, 263–275. doi: https://doi.org/10.1016/j.rtbm.2016.08.006
  7. Guajardo, M., Rönnqvist, M. (2015). A review on cost allocation methods in collaborative transportation. International Transactions in Operational Research, 23 (3), 371–392. doi: https://doi.org/10.1111/itor.12205
  8. Aloui, A., Hamani, N., Derrouiche, R., Delahoche, L. (2021). Systematic literature review on collaborative sustainable transportation: overview, analysis and perspectives. Transportation Research Interdisciplinary Perspectives, 9, 100291. doi: https://doi.org/10.1016/j.trip.2020.100291
  9. Kondratyev, M., Garifullin, M. (2009). Parallel Discrete Event Simulation with AnyLogic. Parallel Computing Technologies. Berlin, Heidelberg: Springer, 226–236. doi: https://doi.org/10.1007/978-3-642-03275-2_23
  10. Borshchev, A. (2014). Multi‐method modelling: AnyLogic. Discrete‐event simulation and system dynamics for management decision making, 248–279. doi: https://doi.org/10.1002/9781118762745.ch12
  11. Khanna, S., Dholakiya, T., Prakash, S., Gupta, S., Jain, U. (2021). Application of the hungarian assignment method in the aviation industry. International Journal of Innovative Science and Research Technology, 6 (10), 300–305.
  12. Murugesan, R., Esakkiammal, T. (2020). Direct methods for finding optimal solution of assignment problems are not always dependable. Applied Mathematical Sciences, 14 (17), 823–830. doi: https://doi.org/10.12988/ams.2020.914284
  13. Murugesan, R., Esakkiammal, T. (2020). TERM – a very simple and efficient method to solve assignment problems. Applied Mathematical Sciences, 14 (17), 801–809. doi: https://doi.org/10.12988/ams.2020.914275
  14. Patel, R. G., Patel, B. S., Bhathawala, P. H. (2017). On optimal solution of a transportation problem. Global Journal of Pure and Applied Mathematics, 13 (9), 6201–6208.
  15. Hoff-Hoffmeyer-Zlotnik, M., Sprodowski, T., Freitag, M. (2021). Revisiting order assignment problems in a real-case vehicle compound scenario. 2020 6th IEEE Congress on Information Science and Technology (CiSt). IEEE, 395–400. doi: https://doi.org/10.1109/cist49399.2021.9357210
  16. Kachar, K. G., Gorodetsky, A. A. (2022). Dynamic Multiagent Assignment Via Discrete Optimal Transport. IEEE Transactions on Control of Network Systems, 9 (1), 151–162. doi: https://doi.org/10.1109/tcns.2022.3141024
  17. Goldman, T., Gorham, R. (2006). Sustainable urban transport: Four innovative directions. Technology in Society, 28 (1-2), 261–273. doi: https://doi.org/10.1016/j.techsoc.2005.10.007
  18. Boukebbab, S., Boulahlib, M. S. (2015). The spatial interactions using the gravity model: application at the evaluation of transport efficiency at Constantine city, Algeria. Theory and Engineering of Complex Systems and Dependability: Proceedings of the Tenth International Conference on Dependability and Complex Systems DepCoS-RELCOMEX. Brunów: Springer International Publishing, 35–44. doi: https://doi.org/10.1007/978-3-319-19216-1_4
  19. Mercier, A., Souche‐Le Corvec, S., Ovtracht, N. (2021). Measure of accessibility to postal services in France: A potential spatial accessibility approach applied in an urban region. Papers in Regional Science, 100 (1), 227–250. doi: https://doi.org/10.1111/pirs.12564
  20. Kapatsila, B., Palacios, M. S., Grisé, E., El-Geneidy, A. (2023). Resolving the accessibility dilemma: Comparing cumulative and gravity-based measures of accessibility in eight Canadian cities. Journal of Transport Geography, 107, 103530. doi: https://doi.org/10.1016/j.jtrangeo.2023.103530
  21. Rodrigue, J. P. (2020). The geography of transport systems. Routledge. doi: https://doi.org/10.4324/9780429346323
  22. Jamei, E., Chan, M., Chau, H. W., Gaisie, E., Lättman, K. (2022). Perceived Accessibility and Key Influencing Factors in Transportation. Sustainability, 14 (17), 10806. doi: https://doi.org/10.3390/su141710806
  23. Chang, Z., Chen, J., Li, W., Li, X. (2019). Public transportation and the spatial inequality of urban park accessibility: New evidence from Hong Kong. Transportation Research Part D: Transport and Environment, 76, 111–122. doi: https://doi.org/10.1016/j.trd.2019.09.012
  24. Pineda, C., Cortés, C. E., Jara-Moroni, P., Moreno, E. (2016). Integrated traffic-transit stochastic equilibrium model with park-and-ride facilities. Transportation Research Part C: Emerging Technologies, 71, 86–107. doi: https://doi.org/10.1016/j.trc.2016.06.021
  25. Luo, D., Cats, O., van Lint, H., Currie, G. (2019). Integrating network science and public transport accessibility analysis for comparative assessment. Journal of Transport Geography, 80, 102505. doi: https://doi.org/10.1016/j.jtrangeo.2019.102505
  26. Lei, D., Cheng, L., Wang, P., Chen, X., Zhang, L. (2024). Identifying service bottlenecks in public bikesharing flow networks. Journal of Transport Geography, 116, 103830. doi: https://doi.org/10.1016/j.jtrangeo.2024.103830
  27. Google Maps. Available at: https://www.google.com/maps/place/Parc+BMT/@36.7082458,5.0493869,307m/data=!3m1!1e3!4m14!1m7!3m6!1s0x128d330031b521cb:0x188620e4f4470c4e!2sZone+Idustrielle+Ighil-Ouazoug-BEJAIA!8m2!3d36.7312059!4d5.0596578!16s%2Fg%2F11lcl_12yf!3m5!1s0x128d333b0e5b393d:0x7 Last accessed: 19.03.2024
  28. Pereira, R. H. M., Andrade, P. R., Vieira, J. P. B. (2022). Exploring the time geography of public transport networks with the gtfs2gps package. Journal of Geographical Systems, 25 (3), 453–466. doi: https://doi.org/10.1007/s10109-022-00400-x
Optimization of merchandise delivery logistics: case studies at Bejaia port

Downloads

Published

2024-06-27

How to Cite

Azzam, N., Guerdouh, F., Chaib, R., & Nettour, D. (2024). Optimization of merchandise delivery logistics: case studies at Bejaia port. Technology Audit and Production Reserves, 3(2(77), 41–48. https://doi.org/10.15587/2706-5448.2024.303541

Issue

Vol. 3 No. 2(77) (2024): Information and control systems

Section

Systems and Control Processes

License

Copyright (c) 2024 Noureddine Azzam, Fouad Guerdouh, Rachid Chaib, Djamel Nettour

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.