Multi-objective optimization for green logistics planning and operations management: From economic to environmental perspective-Reference-Cited by-同舟云学术

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Multi-objective optimization for green logistics planning and operations management: From economic to environmental perspective

Published:2024-03 Issue: Volume:189 Page:109988
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Xie Dongwei,Qiu Yunzhe^ORCID,Huang Jingsi

Funder

National Natural Science Foundation of China

National Postdoctoral Program for Innovative Talents

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference60 articles.

1. Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory;Bai;International Journal of Production Economics,2019

2. Carbon footprint and the management of supply chains: Insights from simple models;Benjaafar;IEEE Transactions on Automation Science and Engineering,2012

3. Flow shop scheduling with grid-integrated onsite wind power using stochastic MILP;Biel;International Journal of Production Research,2018

4. Multi-objective particle swarm optimisation based integrated production inventory routing planning for efficient perishable food logistics operations;Chan;International Journal of Production Research,2020

5. Carbon emission accounting methods for industrial parks;Chen;China Population, Resources and Environment,2017

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Developing a balanced strategy: A multi-objective model for emissions reduction and development of civil aviation in China;Energy;2024-10

2. Exploring the path to the sustainable development of cold chain logistics for fresh agricultural products in China;Environmental Impact Assessment Review;2024-09

3. Optimization techniques for green supply chain practice challenges: a systematic hybrid approach;Engineering Optimization;2024-07-16

4. An Intelligent Connected Vehicle Material Distribution Route Model Based on k-Center Spatial Cellular Clustering and an Improved Cockroach Optimization Algorithm;Symmetry;2024-06-15

5. Dynamic joint strategy of channel encroachment and logistics choice considering trade-in service and strategic consumers;Transportation Research Part E: Logistics and Transportation Review;2024-05

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