지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2025.1
- 수록면
- 46 - 57 (12page)
- DOI
- 10.9717/kmms.2025.28.1.046
이용수
초록· 키워드
오류제보하기
In urban logistics within Southeast Asia, particularly in Ho Chi Minh City, motorcycles are vital for effective last-mile delivery, accounting for 75% of daily trips due to their adaptability to congested streets. This paper investigates a Multi-Depot Vehicle Routing Problem with Time Windows (MDVRPTW) specific to motorcycle logistics, addressing constraints such as multiple depot origins, customer-specific time windows, and limited vehicle capacities. An Ant Colony Optimization (ACO) algorithm, enhanced with a 3-opt local search, is proposed to optimize route efficiency, reduce travel distances, and ensure timely deliveries across complex urban routes. This ACO-3-opt model outperforms standard ACO by refining routes and minimizing total mileage, which lead to reducing the operational costs. Through an empirical study in Ho Chi Minh City, the algorithm demonstrates significant improvements in delivery efficiency, showcasing its potential to address the logistical demands of high-density urban environments. The findings provide insights into optimizing urban distribution networks, particularly for motorbikebased logistics in Southeast Asian megacities.
목차
ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. METHODOLOGY
4. EXPERIMENTAL RESULT
5. CONCLUSIONS
REFERENCE
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