دورية أكاديمية

Optimization of Electric Vehicle Routes Considering Multi-Temperature Co-Distribution in Cold Chain Logistics with Soft Time Windows

التفاصيل البيبلوغرافية
العنوان: Optimization of Electric Vehicle Routes Considering Multi-Temperature Co-Distribution in Cold Chain Logistics with Soft Time Windows
المؤلفون: Meiling He, Mei Yang, Wenqing Fu, Xiaohui Wu, Kazuhiro Izui
المصدر: World Electric Vehicle Journal, Vol 15, Iss 3, p 80 (2024)
بيانات النشر: MDPI AG, 2024.
سنة النشر: 2024
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
LCC:Transportation engineering
مصطلحات موضوعية: electric vehicle routing problem, improved ant colony optimization algorithm, multi-temperature co-distribution, soft time windows, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Transportation engineering, TA1001-1280
الوصف: Inspired by the practice of urban distribution of fresh products, we introduce a new electric vehicle routing problem with soft time windows. In this problem, goods with different temperature layers can be distributed in ordinary electric vehicles simultaneously based on the cold storage insulation box. The primary objective is to devise optimized distribution routes for logistics companies to minimize distribution costs, including transportation, refrigeration, and charging costs. To address this, we present a mathematical model for the problem and propose an improved ant colony optimization algorithm combined with a 2-opt algorithm. Based on Solomon dataset, we conduct numerical experiments to verify the effectiveness of the proposed model and algorithm. The numerical results demonstrate that multi-temperature co-distribution can lead to a reduction in distribution cost and an improvement in distribution efficiency.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2032-6653
العلاقة: https://www.mdpi.com/2032-6653/15/3/80Test; https://doaj.org/toc/2032-6653Test
DOI: 10.3390/wevj15030080
الوصول الحر: https://doaj.org/article/566ee75bf80d416caab5f7599e6d1e95Test
رقم الانضمام: edsdoj.566ee75bf80d416caab5f7599e6d1e95
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20326653
DOI:10.3390/wevj15030080