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Schematic diagram of express packaging reverse logistics network hierarchy and nodes in M region.

Schematic diagram of express packaging reverse logistics network hierarchy and nodes in M region.

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With the development of China’s express delivery industry, the number of express packaging has proliferated, leading to many problems such as environmental pollution and resource waste. In this paper, the process of reverse logistics network design for express packaging recycling is given as an example in the M region, and a four-level network cont...

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... Velocity and position updates of particles are based on the basic rules of PSO, but fuzzy target vectors play a key role in this process. The velocity update formula is shown in Equation (4) [21,22]. As shown in Fig. 2, in the FMOPSO algorithm, the multi-objective logistics and distribution center siting problem is transformed into fuzzy objective vectors by randomly initializing the particle swarm and defining the fuzzy affiliation function to ensure a comprehensive exploration of the solution space. ...
... Shi et al. [7] considered the joint optimization problem of express deliveries and packaging recycling and developed a dual-objective mixed-integer linear programming model which was able to create an interface between the industrial chain and the supply chain. Mao et al. [8] described the design process of a reverse logistics network for express packaging recycling, taking region M as an example and establishing a fourlevel network containing primary recycling nodes, recycling centers, processing centers, and terminals. ...
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The use of express packaging and its recycling produces large amounts of carbon dioxide. In order to achieve China’s “dual carbon” goal, this study adopted a literature research method to explore the idea of intelligent express packaging recycling cabinets. Based on the current design and use of intelligent express packaging recycling cabinets, new ideas for their improvement are proposed. This study also explored methods for improving people’s willingness to use intelligent express packaging recycling cabinets through experimental research and quantitative analysis. The results show that a reward mechanism has a significant effect on people’s willingness to use intelligent express packaging recycling cabinets. Of the two types of rewards, immediate rewards, compared to delayed rewards, can further increase people’s use of intelligent express packaging recycling cabinets. Gain and loss trade-offs play a mediating role between a reward mechanism and people’s willingness to use it, and consumers make that choice after weighing up the advantages and disadvantages. If consumers feel that it is worthwhile to protect the environment, in terms of the rewards they obtain compared to the time and effort they have to spend using intelligent express packaging recycling cabinets, and that the gain outweighs the loss, they will be inclined to use this system. Environmental responsibility plays a moderating role in mediating the trade-off between gains and losses. In the context of low environmental responsibility, cash rewards lead to greater gain and loss trade-offs compared to point rewards, while in the context of high environmental responsibility, there is no difference between cash rewards and point rewards. This study provides ideas for the design and promotion of the use of intelligent express packaging recycling cabinets, with the goal of effectively improving the recycling rate of express packaging waste.
... Kolasińska et al. (2022) analyzed the influence of implementing smart concepts in sustainable development on customer service changes in last-mile logistics. Mao et al. (2023) introduced a four-tier reverse logistics network for express packaging recycling, consisting of primary collection nodes, collection centers, processing facilities, and end terminals. ...
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In the contemporary era, green development has become integral to modern industrial supply chains. Accelerating the green transformation of the supply chain in the express delivery industry poses a significant challenge in China. To address this challenge, we establish a trilateral evolutionary game model that considers the interdependent constraints involving the government, vehicle suppliers, and courier companies. This model aims to explore the optimal stable decisions for each stakeholder and the entire supply chain system. Through numerical simulations, we analyze the impact of key parameters on the stability of strategies and find that there are four Evolutionary Stable Strategies (ESS) in the system. Economic factors play a dual role: income-related factors encourage the adoption of green strategies by stakeholders, whereas cost-related factors extend the time required for stakeholders to transition to green strategies. For sustained production and utilization of new energy vehicles, the government must utilize a balanced system of rewards and penalties effectively. Vehicle suppliers and courier companies should collaborate for mutually beneficial outcomes, jointly fostering the green transformation of the supply chain with a focus on cost reduction and efficiency improvement. This study offers theoretical insights and methodological support for decision-makers in green supply chain management.
... Xu, QY et al. [24] explored how platforms' different delivery strategies affect packaging recycling, platform profits and the environment, as well as optimal pricing and subsidy strategies under three typical delivery models. Mao, J et al. [25] presented a reverse logistics network design process for express packaging recycling in region M as an example and established a four-level network containing primary recycling nodes, recycling centers, processing centers and terminals. ...
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The rapid development of e-commerce has brought about a sharp increase in the demand for express packaging materials, which in turn has led to problems such as resource waste and environmental pollution. Under the target of “dual carbon”, the urgency and importance of effective classification and recycling of express packaging waste cannot be ignored. Based on the unified theory of technology acceptance and use (UTAUT) model and the characteristics of express packaging, this study selected performance expectancy, effort expectancy, social influence and perceived value as core variables, and gender, age and frequency as moderating variables, and established a structural equation through survey and analysis to study the factors influencing consumers’ willingness to recycle express packaging. The results of the study showed that performance expectancy, effort expectancy, social influence and perceived value had a significant positive effect on consumers’ willingness to classify. Classification willingness had a significant positive effect on consumers’ classification behavior. In addition to directly influencing classification intention, performance expectancy, effort expectancy and social influence also have mediating effects. In addition, gender played a moderating role in the effects of performance expectancy and social influence on classification intention. Based on the findings, this study proposes targeted measures to promote the green and healthy development of the express delivery industry.