Under the background of the prompt development of the global economy and continuous improvement of environmental protection awareness, end-of-life vehicles (ELVs), as an essential part of “urban mineral”, have the substantial economic, resource, and environmental value. The research on reverse logistics of ELVs has developed rapidly, but the existing relevant reviews are based on unique research perspectives and do not fully understand the whole field. This work aims to help comprehend the research status of reverse logistics of ELVs, excavate and understand the critical publications, and reveal the main research topics in the past 20 years. Based on 299 articles published in ISI Web of Science Core Collection (WOSCC) database from 2000 to 2019, this paper uses the methodologies of literature bibliometrics and content analysis, combined with VOS viewer, CiteSpace, and Bibexcel software. Besides, the literature quantity and cited situation, core journals, distribution of countries and regions, institutions, core authors, subject categories, and keywords information are analyzed to determine the primary trends and future research hot spots focus on reverse logistics of ELVs.

This paper studies the equilibrium decision-making problem of product service supply chain (PSSC) network under the impact of COVID-19 related risks. The PSSC is composed of service-oriented transformation of manufacturing enterprises to sell product service systems (PSSs) to customers. So, under the impact of COVID-19, the network faces dual risks of products and services. This paper constructs the PSSC network of raw material suppliers, service providers, manufacturing service integrators and demand markets. Through variational inequalities, a network equilibrium model of PSSC considering risk management was established, and their decision-making problems were discussed. Three numerical examples were used to analyse the impact of risk management on the supply chain network at various levels. The results show that the risk management of upstream and downstream enterprises will have mutual influence, and the cost input of service risk management will benefit the entire PSSC network. Therefore, through the diversified development and improvement of services, the market demand for PSSs can be increased.

With the rapid development of information and communication technology, data empowerment has become an important way for platform service supply chain (PSSC) members to obtain a competitive advantage. Based on the three-level PSSC network structure composed of service providers, platform operators, and demand markets, this paper assumes that platform operators empower service providers to improve service quality, and PSSC members invest in data security risk control. Then, using variational inequality and equilibrium theory, a supply chain network equilibrium model considering data empowerment is constructed, and the equilibrium conditions of the whole network are obtained. Based on numerical examples, this paper analyzes the impact of the sensitivity of the demand market to service quality, the relative importance of service providers’ service quality improvement level, the data empowerment cost of PSSC members, and the data security risk control investment of PSSC members on the equilibrium state of the supply chain network. The results show the following: because the service quality is produced by the cooperation between service providers and platform operators, platform operators may have free-riding behavior and are only willing to invest a fixed data empowerment cost to ensure the essential service quality; data security risk control investment is an important factor affecting service sales; and when supply chain network members reduce data security risk control investment, consumers’ willingness to pay for services will be reduced, resulting in a decline in the overall profit of the supply chain network.

Digital transformation is reshaping the decision making management of the rental service mode in the manufacturing industry, and improving digital detection technology and big data marketing have become effective ways to create value. Based on the three-level rental platform service supply chain network structure composed of manufacturers, rental platform operators and the demand market, a supply chain network equilibrium model considering the digital detection technology input and big data marketing is constructed by using variational inequality and the Nash equilibrium theory, and the optimal decision making conditions of the manufacturers and rental platform operators are derived. Combined with the Euler algorithm design procedure and numerical examples, the influences of the digital detection technology level, big data marketing cost coefficient and cost sharing ratio on the equilibrium state are analyzed. The results show that the input of digital detection technology leads to the increase in profits of each participant in the rental platform service supply chain network and promotes a more coordinated development of the supply chain. When the rental platforms implement big data marketing, the manufacturers share the cost, which can continuously improve the profits of both partners and make the cooperation more stable and efficient.

With the further development of manufacturing servitization, the supply chain established by enterprises has gradually evolved into a product service supply chain. The introduction of service flow has made supply chain management more complicated. In this paper, we build a product service supply chain network composed of raw material suppliers, service providers, manufacturing integrators, and customers. The equilibrium model for decision-makers at all levels is established by variational inequality. In particular, we emphasize the impact of product and service capacity constraints and changes in the product service integration ratio on network equilibrium. The results show that, while capacity constraints on production tend to stabilize and unify the market price, service-related capacity constraints polarize the customer pay price. That is to say, product capability constraints limit the quality of product service systems, while service capability constraints limit the types of product service systems. Furthermore, the introduction of service flow and integration with products creates a more closely networked relationship between the upper and lower layers of the product service supply chain, and an increase in the service proportion will increase the network equilibrium profit.