信息化驱动下高校实验室绩效评价方法研究

[Objective] This study aims to address the critical issues faced by university laboratories, which are central to academic research and educational activities. The primary challenges that university laboratories face are the low level of informatization in performance evaluation, frequent safety incidents, and uneven distribution of resources. These issues not only hinder the operational efficiency of the laboratories but also pose significant risks to the safety of faculty and students, as well as the integrity of research outcomes. The importance of this study lies in its potential to enhance the management and operational efficiency of laboratories, thereby fostering a safer and more productive research environment that can meet the demands of modern academic research. [Methods] The development of the performance evaluation index system is based on an integrated laboratory data platform. This system employs the Fuzzy Analytic Hierarchy Process-Entropy Weight Method (FAHP-EWM) to determine the weights of various performance indicators. This method is chosen for its ability to integrate expert opinions with objective entropy measures, ensuring a balanced assessment. The importance of different performance indicators is evaluated, and entropy is used to measure the amount of information that each indicator provides, helping to identify which indicators are the most informative. This dual approach allows for a more nuanced understanding of the contribution of each indicator to overall performance. The Fuzzy Comprehensive Evaluation approach is then applied to assess the overall performance of the laboratories. This approach involves defining evaluation criteria and membership functions for each criterion, and then converting performance data into fuzzy values. These values are aggregated to provide an overall performance score. This method is particularly useful for handling uncertainty and imprecision in real-world performance data. It allows for a more flexible and comprehensive evaluation that can adapt to varying conditions and data quality. Additionally, input-output analysis is integrated to assess the operational efficiency of laboratories. This involves analyzing the inputs (resources, time, etc.) and outputs (research outcomes, publications, etc.) of the laboratories to determine their efficiency. This analysis reveals underutilized resources and inefficiencies, providing clear indications for process optimization. This method provides a quantitative measure of how effectively the laboratories convert inputs into valuable outputs, which is crucial for optimizing resource use and enhancing overall performance. The system is scalable and adaptable, making it suitable for laboratories of various sizes and research focuses. This adaptability ensures that the system can be tailored to the specific needs of each laboratory, enhancing its applicability and effectiveness. The integration of these methods into a single system enables a comprehensive evaluation that considers multiple aspects of laboratory performance, ranging from safety and resource management to research output. [Results] The empirical results of implementing the proposed system demonstrate significant improvements in evaluation informatization. The probability of accidents is notably reduced, and the protection of national assets and the safety of faculty and students are enhanced. The system also contributes to the optimization of resource allocation, ensuring that resources are used efficiently and effectively, which is crucial for the long-term sustainability of laboratories. These results highlight the system's ability to provide innovative insights into the management of university laboratories, offering a scientific, standardized, and efficient approach to laboratory management. [Conclusions] This study presents a robust and comprehensive framework for evaluating and enhancing the performance of university laboratories. The integration of advanced analytical techniques with practical management strategies has yielded a system that is both scientifically sound and operationally feasible. The findings and methodologies presented in this study are expected to serve as a valuable reference for academic institutions and researchers worldwide, promoting the continuous improvement of laboratory management practices. By providing a structured and systematic approach to laboratory performance evaluation, this study aims to facilitate the transition toward more efficient, sustainable, and safe laboratory practices, ultimately contributing to the advancement of knowledge and innovation in academia.