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This paper aim to solve the problem of low assembly success rate for 3c assembly lines designed based on classical control algorithms due to inevitable random disturbances and other factors,by incorporating intelligent algorithms into the assembly line, the assembly process can be extended to uncertain assembly scenarios.

This work proposes a reinforcement learning framework based on digital twins. First, the authors used Unity3D to build a simulation environment that matches the real scene and achieved data synchronization between the real environment and the simulation environment through the robot operating system. Then, the authors trained the reinforcement learning model in the simulation environment. Finally, by creating a digital twin environment, the authors transferred the skill learned from the simulation to the real environment and achieved stable algorithm deployment in real-world scenarios.

In this work, the authors have completed the transfer of skill-learning algorithms from virtual to real environments by establishing a digital twin environment. On the one hand, the experiment proves the progressiveness of the algorithm and the feasibility of the application of digital twins in reinforcement learning transfer. On the other hand, the experimental results also provide reference for the application of digital twins in 3C assembly scenarios.

In this work, the authors designed a new encoder structure in the simulation environment to encode image information, which improved the model’s perception of the environment. At the same time, the authors used the fixed strategy combined with the reinforcement learning strategy to learn skills, which improved the rate of convergence and stability of skills learning. Finally, the authors transferred the learned skills to the physical platform through digital twin technology and realized the safe operation of the flexible printed circuit assembly task.

The purpose of this study is to examine how the experience of the top management team (TMT), such as industrial experience and functional experience heterogeneity, affect corporate social performance (CSP) and whether TMT faultlines act as a moderator.

To examine the effect of TMT experience on CSP, this study uses upper echelons theory as theoretical background, and data are selected from 212 Chinese high-polluting companies with A-shares from 2012 to 2016. The dependent variable is lagged by one year from 2013 to 2017.

Industrial experience both positively influenced CSR and negatively influenced corporate social irresponsibility. Functional experience heterogeneity had an inverted U-shaped effect on responsible behaviors and a U-shaped effect on irresponsible behaviors. Meanwhile, TMT faultlines played a moderating roles in the relationship between TMT experience and CSP, in which faultlines reinforces the non-linear relationship between functional experience heterogeneity and CSP.

The existence of impact paths between TMT experience and corporate social performances must still be examined. Other moderators need to be verified.

The important ways to promote more corporate responsible behavior and reduce irresponsible corporate behavior is to choose the right team members. During team formation, it is important to have experience in related industries and select team members with different functional experiences. Companies can consider hiring executives who tend to work together and have relevant experience, which can reduce the time cost of unnecessary conflicts.

This study combined the upper echelons theory with some attention perspectives to study the impacts of TMT experience on CSP.