Analysis of benefits in consolidation for vehicle routing problems with time windows

Analysis of benefits in consolidation for vehicle routing problems with time windows

Authors

    Presenter(s)

    Nikesh Chithambaram

    Comments

    Presentation: 11:20-11:40, Kennedy Union 207

    Files

    Description

    Vehicle routing is a complex optimization problem with different variations. In this study, we focus on evaluating the advantages of consolidation for vehicle routing problems with time windows. With the help of Google OR tools and deep reinforcement learning solutions, we aim to analyze and compare the benefits of consolidation under different parameters and evaluate the performance of both for increasing number of orders and customers. Our approach involves consolidating orders within specified windows as customers place multiple orders if they fall within a consolidation window based on next day delivery plan. Through this research, we seek to provide insights into the optimal methods for managing vehicle routing logistics in scenarios where consolidation plays a pivotal role.

    Publication Date

    4-17-2024

    Project Designation

    Independent Research

    Primary Advisor

    Yooneun Lee

    Primary Advisor's Department

    Engineering Management, Systems, and Technology

    Keywords

    Stander Symposium, School of Engineering

    Institutional Learning Goals

    Community; Critical Evaluation of Our Times; Practical Wisdom

    Analysis of benefits in consolidation for vehicle routing problems with time windows

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