Multiobjective capacitated green vehicle routing problem with fuzzy time-distances and demands split into bags

被引：26

作者：

Gupta, Pankaj ^{[1
]}

Govindan, Kannan ^{[2
,3
,4
]}

Mehlawat, Mukesh Kumar ^{[1
]}

Khaitan, Anisha ^{[1
]}

机构：

[1] Univ Delhi, Dept Operat Res, Delhi, India

[2] Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai 201306, Peoples R China

[3] Yonsei Univ, Yonsei Frontier Lab, Seoul, South Korea

[4] Univ Southern Denmark, Danish Inst Adv Study, Dept Technol & Innovat, Ctr Sustainable Supply Chain Engn, Odense M, Denmark

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2022年 / 60卷 / 08期

关键词：

Capacitated VRP; fuzzy rule-based ranking; genetic algorithm; green logistics; split delivery; DELIVERY; DESIGN; PICKUP; MODEL;

D O I：

10.1080/00207543.2021.1888392

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Real-life challenges require proactive measures. Good transportation services and greener alternatives demand steadfast research in the area. Here, an attempt has been made to address such a problem. A particular case of VRP, with deliveries split into bags and triangular fuzzy travel times, has been modelled to minimise fuel emissions. The concepts of fuzzy rule-based implication for ranking and for comparing fuzzy numbers with numeric values, an expected value model, have been drawn upon. A discrete fuzzy-hybridised GA has been developed. Multiple experiments on data in existing works, parameter tuning, and comparative analysis have been performed, thereby corroborating the model's efficacy.

引用

页码：2369 / 2385

页数：17

共 61 条

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