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This paper presents a case study of a food delivery startup, and uses Operations Research (OR) techniques to address the complex logistics challenges faced by the company. The objective is to develop an automated and optimal solution for a startup located in Montpellier, France that faces many problems with delivery operations, taking into account factors such as resource allocation and environmental impact. The study focuses on the vehicle routing problem (VRP) with Multiple Trips and Time Window (MTVRPTW), and employs a heuristic algorithm to generate a complete delivery plan based on customer orders and the company’s existing infrastructure. The goal is to provide the startup with a sustainable and efficient logistics solution that can help them to reduce costs and improve their overall operations.

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Adapting MTVRPTW for Small Business: A Simplified Approach to Optimizing Food Delivery Logistics

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Diego Bandeira de Melo Akel Thomaz,
  • Tassia Carolina Forasteiro Pinto,
  • Rose Campbell,
  • Nicolas Malhene,
  • Tatiana Graindorge

摘要

This paper presents a case study of a food delivery startup, and uses Operations Research (OR) techniques to address the complex logistics challenges faced by the company. The objective is to develop an automated and optimal solution for a startup located in Montpellier, France that faces many problems with delivery operations, taking into account factors such as resource allocation and environmental impact. The study focuses on the vehicle routing problem (VRP) with Multiple Trips and Time Window (MTVRPTW), and employs a heuristic algorithm to generate a complete delivery plan based on customer orders and the company’s existing infrastructure. The goal is to provide the startup with a sustainable and efficient logistics solution that can help them to reduce costs and improve their overall operations.