A Multi-objective Optimization for Efficient Pickup and Delivery Problems: Addressing Alternative Locations and Time Windows

Chinchet Boonmalert (), Aua-aree Boonperm () and Wutiphol Sintunavarat
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Chinchet Boonmalert: Thammasat University (Rangsit Center)
Aua-aree Boonperm: Thammasat University (Rangsit Center)
Wutiphol Sintunavarat: Thammasat University (Rangsit Center)

A chapter in Operations Research Proceedings 2024, 2025, pp 106-112 from Springer

Abstract: Abstract Logistics optimization is essential for improving operational efficiency in industries reliant on transportation. This study focuses on the Pickup and Delivery Problem (PDP), an extension of the Vehicle Routing Problem (VRP), which involves both pickup and delivery tasks. Our research presents a multi-objective optimization approach to address PDPs, incorporating complexities such as alternative pick-up locations and time window constraints. We aim to minimize both delivery lateness and transportation costs using a Mixed-Integer Programming (MIP) model. Our methodology optimizes multiple objectives simultaneously by minimizing both delivery lateness and overall transportation costs. By developing novel approaches to improve logistics operations, this research contributes to advancing transportation optimization and supply chain management, ultimately leading to a more efficient and cost-effective logistics environment.

Keywords: Alternative Pickup Locations; Multi-Objective Optimization; Logistics Optimization; Pickup and Delivery Problem; Time Window Constraints (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-92575-7_15

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DOI: 10.1007/978-3-031-92575-7_15

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