The outbreak of COVID-19 has exerted an enormous impact on society, enterprises, and individuals. It has affected the work attitudes and psychology of employees to a certain extent and their job stress (JS) has also augmented accordingly, leading to increased turnover intention (TI). With the survey responses of 720 employees of small and medium enterprises (SMEs) in China as the sample, we studied the impact of COVID-19 related JS and TI with the moderating effect of perceived organizational support (POS). We utilized linear and multiple regression analysis using Windows SPSS 25. The research findings indicated that the JS caused by COVID-19 in the first affected region (Hubei) was significantly stronger than that in other regions (non-Hubei). JS had a significant positive relationship with employees’ TI, while POS had a significant negative connection with employees’ TI. We also identified that POS weakened the positive association between JS and employees’ TI. These findings are expected to be conducive to and conductive for the upcoming theoretical and empirical investigations as the founding guidelines, as well as for managers in formulating effective policies to curb JS, which would ultimately be helpful in reducing TI.

In order to reduce carbon emission and energy consumption in the process of raw material distribution, the workshop material distribution management model was established based on the business compass model; it can help guide enterprises to manage workshop production. Based on the raw material distribution equipment, a path calculation model considering the carbon emission and energy consumption in the process of raw material distribution was established. The dung beetle optimizer was selected for the optimization calculation. The dung beetle optimizer has the characteristics of fast convergence and high solution accuracy. The material distribution of an engine assembly workshop was taken as an example; the results showed that the optimized scheduling model could effectively optimize the material distribution route and reduce energy consumption and carbon emission in the distribution process on the basis of meeting the distribution demand.

The optimization of blank design is the key to the implementation of a green innovation strategy. The process of blank design determines more than 80% of resource consumption and environmental emissions during the blank processing. Unfortunately, the traditional blank design method based on function and quality is not suitable for today’s sustainable development concept. In order to solve this problem, a research method of blank design optimization based on a low-carbon and low-cost process route optimization is proposed. Aiming at the processing characteristics of complex box type blank parts, the concept of the workstep element is proposed to represent the characteristics of machining parts, a low-carbon and low-cost multi-objective optimization model is established, and relevant constraints are set up. In addition, an intelligent generation algorithm of a working step chain is proposed, and combined with a particle swarm optimization algorithm to solve the optimization model. Finally, the feasibility and practicability of the method are verified by taking the processing of the blank of an emulsion box as an example. The data comparison shows that the comprehensive performance of the low-carbon and low-cost multi-objective optimization is the best, which meets the requirements of low-carbon processing, low-cost, and sustainable production.

Blanks, an important raw material for the manufacturing industry, are semi-finished products for further processing. The energy consumption and processing efficiency in the process of blank production and use can be determined to a great extent in the blank design stage. The design of appropriate blank dimensions is an important means of realizing ecological civilization. Current blank designs seldom consider the production conditions of enterprises. In order to design energy-saving and efficient blanks on the basis of the actual conditions of an enterprise, this paper establishes the blank dimension optimization design model from the perspective of a business compass. With energy savings and efficiency as the goals, and the blank production and use-process equipment parameters as variables, the blank dimensions were optimized by an NSGA-II algorithm, and the results showed that the energy efficiency and processing efficiency of the designed blank dimensions were significantly better than for the existing blank dimensions in the process of enterprise operation.

Wireless communication refers to long-distance transmission communication between multiple nodes without propagation through conductors or cables, and wireless communication can be carried out by radio and electromagnetic waves, etc. Judging from the current situation, the home space positioning design of the medical and elderly care communities is not perfect, which affects the traditional home care. Wireless communication can give wisdom, coordination, and development space in the smart elderly care space positioning design, allowing the elderly to interact, contact, and know their precise location and behavior. This article mainly studies the design and implementation of smart pension space positioning under BIM technology. This paper introduces the frontier of Internet-of-things technology and the theory of sensor network topology control. It uses basic IoT technology to implement the "point, line, and surface" combination of personnel placement algorithms, sensor network communication protocols, topology checks, security models, sensor network wireless communication units, and wireless communication technology. The basic technology and communication technology of personnel deployment based on BIM technology are introduced, the development strategy of wireless communications node is studied, the installation of equipment radio personnel and communication equipment is designed, and the system management platform for the design and development of staff placement in pension institutions is provided. The Web site's information service management, standardized procedures, optimized services, provision of information, intelligent management, and pension services. The experimental results of this paper show that the smart pension space positioning under the BIM technology solves the management loopholes in nursing homes, shortage of nursing staff, inefficiency, lack of services, and family conflicts. It improves the efficiency of the elderly by 25% and the safety index by 23–27%. The development of wireless communication technology promotes the development of intelligent pension space. It will be an important future development direction for the smart community pension.