Route optimization for cold chain logistics of front warehouses based on traffic congestion and carbon emission

Chen, Jiaxin; Liao, Wenzhu; Yu, Cheng‐Wei

doi:10.1016/j.cie.2021.107663

Cited by 69 publications

(45 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Product delivery is to check and pack the products according to the order content, and then pass the product labels to the automated distribution system, which will plan the product line according to the product volume and weight, and plan the products to the appropriate vehicles for loading and delivery. When the product orders are delivered according to the normal path [ 25 ], the production plant and logistics nodes will use the orders as the basis of big data information, collect all the traffic orders in real time, and provide data support for the optimization of the path of subsequent orders based on this data information. In the case of order modification, the speed of updating the order can provide time for the subsequent product packaging.…”

Section: Related Workmentioning

confidence: 99%

Logistics Optimization Strategy Based on Deep Neural Framework

Liu

Zhu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

We propose a logistics optimization method based on improved graph convolutional networks to address the current problem of low product delivery rate and untimely product delivery during the peak period of e-commerce activities. Our method can learn excellent planning strategies from previous data and can give the best logistics strategy in time during the peak logistics period, which improves the product delivery rate and delivery time of logistics and greatly enhances the return on investment. First, we add a tensor rotation module to the graph convolution layer to better capture the global features of logistics nodes. Then we add inception structures in the temporal convolution layer to build multiscale temporal convolution filters to obtain temporal information of logistics nodes in different time-aware domains and reduce arithmetic power. Finally, we cooperate with e-commerce platforms to adopt logistics data as the experimental database. The experimental results show that our method greatly accelerates the logistics planning speed, improves the product delivery rate, ensures the timely delivery of products, and increases the return on investment.

show abstract

Section: Related Workmentioning

confidence: 99%

Logistics Optimization Strategy Based on Deep Neural Framework

Liu

Zhu

2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…However, traffic congestion consideration in e-grocery has been analyzed even less. For example, Chen et al (2021) proposed a route optimization technique for cold chain logistics of front warehouses by considering traffic congestions (Chen et al 2021). Jouzdani and Govindan (2021) analyzed supply chain networks of food delivery from the perspective of sensibility and took in to consideration congestions (Jouzdani and Govindan 2021).…”

Section: The Role Of Congestions In Vehicle Routingmentioning

confidence: 99%

“…There is a trade-off between economic and environmental aspects, however at the same time the social aspect must also be taken into consideration. Congestion not only causes higher CO2 emission levels, but at the same time reduces the quality of the food products (Jouzdani and Govindan 2021), (Chen, Liao, and Yu 2021). Thus, the growing e-grocery market with current supply chain management approaches cannot achieve sustainability.…”

Section: Introductionmentioning

confidence: 99%

The Development of Sustainable Transportation For E-Grocery

2022

Vadyba

View full text Add to dashboard Cite

Growing demand for organic food products requires to rethink the current supply chain approaches for e-grocery. The shifting trend for e-commerce is requiring products to be delivered in small quantities, to multiple delivery points, which causes negative effect from sustainability perspective. The distribution of goods in urban areas, together with private traffics flow, are among the main sources of energy consumption, air pollution and noise. Thus, the goal of the research is to conduct a literature review on development of sustainable transportation for e-grocery. The literature analysis indicated that the majority of vehicle routing approaches are design for general transportation problems, not specifically related to e-grocery. Also, the changing economic trends related to growing urbanization levels and traffic congestions are not taken into consideration. Thus, the authors of the publication indicate the need to develop dynamic routing algorithms for autonomous vehicles to cope with the traffic congestions and maintain higher sustainability levels from social, economic, and environmental perspectives.

show abstract

“…Molina et al constructed the system dynamics model of the three-level agricultural product supply chain under the regular procurement mode, studied the bullwhip effect of the supply chain and the relationship between the cost and the inventory adjustment coefficient, and found that retailers and wholesalers are more sensitive to the change of the inventory adjustment coefficient, and reasonable inventory objectives and inventory adjustment strategies can effectively reduce the bullwhip effect of the supply chain [19]. Chen et al established a dynamic model of a dairy cold chain system composed of producers, suppliers, and retailers, introduced third-party logistics to simulate the inventory level and terminal sales at different temperatures and operating efficiencies, and concluded that shortening the ordering lead time and arrival delay would help reduce increase the profit of retailers [20].…”

Section: Related Workmentioning

confidence: 99%

Partner Matching Mechanism of Hainan Cold Chain Logistics Based on Multiobjective Optimization

Mo¹,

Deng

Chen³

et al. 2022

Mathematical Problems in Engineering

View full text Add to dashboard Cite

With the sustained and rapid development of the economy, the food consumption structure has changed correspondingly and the market of cold and fresh products has developed rapidly, which puts forward the matching of cold chain logistics. Under the background of the construction of the belt and road and the pilot-free trade zone, the organic integration of the fresh agricultural products market and industry in Hainan is facing opportunities and challenges. In particular, in-depth research on the design and planning of the entire logistics system has not been carried out and the research on the distribution vehicle routing problem is still in the initial stage. This paper combs the relevant policies of cold chain logistics development in Hainan province. Given the imperfect system, the lack of policy guarantee measures, and the lack of regionality of the policy objective system, this paper puts forward some suggestions for improvement. The effective inventory control model of Hainan fresh agricultural products under cold chain logistics is explored by using the inventory management theory and the related theory of system dynamics. The simulation is carried out by using Vensim software, which provides a reference for improving the status of cold chain logistics of fresh agricultural products in Hainan. By saving funds, the profits of cold and fresh products are increased and the market competitiveness is improved.

show abstract

Route optimization for cold chain logistics of front warehouses based on traffic congestion and carbon emission

Cited by 69 publications

References 22 publications

Logistics Optimization Strategy Based on Deep Neural Framework

Logistics Optimization Strategy Based on Deep Neural Framework

The Development of Sustainable Transportation For E-Grocery

Partner Matching Mechanism of Hainan Cold Chain Logistics Based on Multiobjective Optimization

Contact Info

Product

Resources

About