New peer effect-based approach for service matching in Cloud Manufacturing under uncertain preferences

Two-sided matching model of service providers and demanders considering peer and synergy effects

In cloud manufacturing, the dynamic characteristics of manufacturing services increase the complexity of supply and demand matching. A peer effect between service demanders and a synergy effect between service providers affect the final matching result. This paper proposes a two-sided matching model of service providers and demanders considering the peer and synergy effects. First, a dynamic evaluation index system is proposed, and the index weight of service providers and demanders is determined based on the fuzzy analytical hierarchy process. Second, a two-sided matching model is established based on peer and synergy effects. Finally, the proposed method is validated by the collaborative manufacturing of hydraulic cylinders. The results reveal that the model effectively matches service demanders with service providers, improving the overall satisfaction of both parties.

Relationship between Internet Use and Negative Affect

While positive emotions like happiness and life satisfaction have received great attention, how to eliminate negative affect is largely neglected. This study contributes to the literature by examining the relationship between Internet use and people's negative affect. Unlike previous studies that consider only one indicator, we capture negative affect from different dimensions by considering loneliness, sadness, and life hardship. We employ an endogenous ordered probit model to address the selection bias of Internet use and analyze the 20,107 individual-level samples sourced from the 2020 China Family Panel Studies survey. The results show that Internet use significantly reduces people's loneliness, sadness, and life hardship. We also find that studying online and watching short videos would increase people's loneliness feeling and shopping online deepens people's life hardship. In contrast, using WeChat significantly reduces sadness and life hardship. Our findings confirm that guiding people to use the Internet appropriately is necessary to reduce negative affect and improve the quality of their life.

A two-level groups consensus reaching process for selecting suppliers of complex equipment under uncertain environment

With the development of complexity in complex equipment, the selection of suppliers referred to several groups. How to select the suppliers for the complex equipment under several groups becomes an important topic. To solve the problem, a two-level consensus reaching process is designed to select the suppliers of the complex equipment in uncertain environments. First, considering the fuzzy environment of selection, the cloud model, which could reflect the fuzziness and randomness, is used to present the uncertain preferences of the decision-makers. Then, considering the negotiation and interaction of two groups, the bi-level consensus reaching process is established to present the master-slave features of complex equipment. Third, to solve the proposed bi-level model, the improved artificial bee colony is proposed, which adopts the gray wolf algorithm’ searching mechanism and levy flying method. The adopted strategies could enhance the searching power of artificial bee colony. Finally, a case study is used to verify the advantages of our study.