Logistics Optimization for Resource Allocation and Scheduling Using Time Slots

Papară Cezar-Marian () and Schirliu Ștefan-Horia ()
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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

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2024, vol. 14, issue 1, 131-146

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.

Keywords: Interval Scheduling Problem; Time Slots; Resource Allocation; Combinatorial Optimization; Logistics; Transportation Networks. (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:14:y:2024:i:1:p:131-146:n:1012

DOI: 10.2478/ijasitels-2024-0012

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