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Logistics Optimization for Resource Allocation and Scheduling Using Time Slots

Author

Listed:
  • Papară Cezar-Marian

    (PhD student at “Alexandru Ioan Cuza” University, Faculty of Computer Science, 16 Berthelot St., Iasi, 700506)

  • Schirliu Ștefan-Horia

    (Master’s student at Faculty of Sciences, “Vasile Alecsandri” University of Bacău, 157 Cal. Mărășești, Bacău, 600115, România)

Abstract

In the field of logistics, efficient scheduling and resource allocation are essential for ensuring the seamless flow of goods through transportation networks. This paper addresses the Interval Scheduling Problem, a combinatorial optimization challenge, in the context of logistics planning for goods transportation. The study examines how optimized appointment scheduling and resource allocation can enhance the performance of transportation networks. By combining theoretical insights, algorithmic solutions, and practical applications, this work proposes a comprehensive approach grounded in mathematical models that account for time, resource, and capacity constraints, alongside a computational implementation. Utilizing advanced computational techniques and real-time data integration, the proposed solutions aim to increase operational effectiveness and competitiveness while reducing costs in transportation logistics.

Suggested Citation

  • Papară Cezar-Marian & Schirliu Ștefan-Horia, 2024. "Logistics Optimization for Resource Allocation and Scheduling Using Time Slots," International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Sciendo, vol. 14(1), pages 131-146.
    • Handle: RePEc:vrs:ijsiel:v:14:y:2024:i:1:p:131-146:n:1012
    DOI: 10.2478/ijasitels-2024-0012
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    References listed on IDEAS

    as
    1. Papară Cezar-Marian, 2022. "An empirical study of large transportation networks and solutions for the cost optimization," International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, Sciendo, vol. 12(2), pages 41-52, December.
    2. G. B. Dantzig & J. H. Ramser, 1959. "The Truck Dispatching Problem," Management Science, INFORMS, vol. 6(1), pages 80-91, October.
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