Vehicle routing with load dependent objective: a case study in supermarket fulfillment
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Title Vehicle routing with load dependent objective: a case study in supermarket fulfillment
Creator Jirapat Povorasin
Contributor Pham Duc Tai, Advisor
Publisher Thammasat University
Publication Year 2568
Keyword Vehicle routing problem (VRP), Mixed integer linear programming (MILP), Route optimization, Load-dependent routing
Abstract In supermarket delivery operations, routing decisions are not only influenced by distance but also by the weight of the load carried, which directly impacts transportation costs. This study develops a Mixed Integer Linear Programming (MILP) model to address the Load-Dependent Vehicle Routing Problem (LD-VRP). Unlike conventional VRP models, the proposed formulation incorporates the effect of vehicle load on travel distances and costs, offering a more realistic representation of logistics operations. The model was tested on delivery scenarios involving supermarket customers, where it successfully handled instances of up to X customers with a computational time of about Y minutes/seconds. Results show that accounting for load improves route optimization, leading to more accurate cost estimation and better resource utilization. The findings suggest that the model can be applied to real-world supermarket fulfillment systems to support efficient and sustainable logistics planning.
Thammasat University

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