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

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

Presenter(s)

Nikesh Chithambaram

Comments

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

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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