Performance Evaluation Index System Research Articles

Research on the application of BP neural network model in the construction of performance evaluation index system

Research on the application of BP neural network model in the construction of performance evaluation index system

Construction and application of a performance assessment model for teaching operations research based on Bayesian network technology

Abstract Operations research plays a pivotal role in fostering effective management, sound decision-making, and modern management practices. Its significance in the academic realm, particularly within higher education, is increasingly acknowledged. This study leverages a Bayesian network to introduce a Markov chain, thereby constructing a dynamic Bayesian network-based model for evaluating the teaching performance of operations research. Initially, a questionnaire survey method was utilized to make preliminary adjustments to the performance evaluation index system. Subsequently, various methods, including the principle of halves and the coefficient of variation, were applied for coarse and fine screening of indices, culminating in the development of a comprehensive index system for evaluating operations research teaching performance. The efficacy of the constructed model and index system was tested by assessing the performance of five operations research instructors. Key metrics such as teaching performance, student trust, and student interest were assigned the highest weights, with respective values of 0.153, 0.127, and 0.114. Notably, Teacher D achieved the highest total performance score of 9.051, surpassing the other four instructors. The assessment results obtained from the designed model are closely aligned with those derived from fuzzy clustering techniques, underscoring the model’s robustness and applicability. Thus, the performance assessment model and index system designed for operations research teaching work demonstrate substantial practical effectiveness.

Research on Comprehensive Evaluation Model of Supply Chain and Logistics Performance Based on Economic Management

Abstract The establishment of a scientific and comprehensive comprehensive evaluation model of logistics performance is of great significance to enhance the cost reduction and efficiency of enterprises and market competitiveness. The research constructs a supply chain and logistics performance evaluation model based on supply chain management and logistics performance and performance evaluation with the help of a balanced scorecard, hierarchical analysis method, and fuzzy comprehensive evaluation method. The supply chain and logistics performance evaluation index system is then weighed and analyzed. The experimental object for investigating the evaluation effect of the constructed supply chain and logistics performance evaluation index system is Y Logistics Company. In the proposed supply chain and logistics performance evaluation index system, the weight of internal operation and customer dimension accounts for 61.2%. Y Express Company’s logistics performance evaluation from 2016 to 2020 shows a steady increase. The increase in customer dimension from 1.54 in 2016 to 9.47 in 2020 was the biggest increase among all indicators. Finally, Company Y performs better in the customer dimension, financial dimension, and internal operation, and its indicators of learning and development and social responsibility score lower. Company Y should increase its logistics digital learning and technological innovation and take the initiative to assume social responsibility.

Exploration and Reflection on the Development of Internationalized Industry-Education Integration of Vocational Education in the Context of Big Data

Abstract The integration of industry and education serves as a potent mechanism to enhance the educational quality of higher vocational colleges and universities while simultaneously fostering the innovative vitality of enterprises. This study delineates a framework for internationalized industry-education integration in vocational education, grounded in the tripartite relationship among government, enterprises, and educational institutions. Building on this framework, the research initially constructs a performance evaluation index system for internationalized industry-education integration, which encompasses three dimensions: the input, process, and outcomes of industry-education integration. Subsequently, the weights of these indices are determined through hierarchical analysis, and the integration performance of four sample institutions is assessed using fuzzy analysis. The findings reveal that all sampled institutions surpass a ‘good’ performance level, with Institution X1 achieving the highest comprehensive evaluation score of 86.3593. Further, the study conducts an empirical analysis comparing the implementation effects of two models of industry-education integration: the ‘group-run school’ model and the ‘industrial park’ model. The study indicates that the ‘industrial park’ model is marginally superior by 0.13 points in its evaluation compared to the ‘group-run school’ model; however, this difference is statistically insignificant (P>0.05), suggesting that both models exhibit distinct characteristics yet achieve comparable outcomes in integrating industry and education. The research offers actionable insights and practical guidance to advance the development of internationalized industry-education integration within vocational education contexts.

Evaluation of agricultural product supply chain efficiency in Sichuan Province

To improve the efficiency and benefits of the agricultural product supply chain while ensuring its smooth operation and sustainable development, we have established a performance evaluation index system for the agricultural product supply chain in the context of building an agricultural powerhouse. The evaluation model combines principal component analysis, data envelopment analysis, and ideal solution methods, forming a PCA-DEA-TOPSIS three-stage integrated model. In this paper, taking Sichuan Province as an example, we assess the agricultural product supply chain performance of 21 cities (prefectures) in the province and propose several improvement strategies.

Construction of Teachers Performance Evaluation Index System for Data-Driven Smart Classrooms in Secondary Schools

Construction of Teachers Performance Evaluation Index System for Data-Driven Smart Classrooms in Secondary Schools

Research on Performance Evaluation Index System of Higher Vocational College Managers Based on Multi-dimensional Analysis

Research on Performance Evaluation Index System of Higher Vocational College Managers Based on Multi-dimensional Analysis

Construction of Financial Performance Evaluation System based on Principal Component Analysis Algorithm and Its Application in Digital Transformation Enterprises

In the context of a strong national push toward the growth of the ""digital economy"", traditional manufacturing companies are increasingly turning to new digital technologies for their digital transformation. This paper aims to investigate the suitability of using a financial performance evaluation system for assessing the success of digital transformation strategies employed by these enterprises. The application of principal component analysis in digital transformation enterprises involves repeatedly selecting the main indicators in the financial performance evaluation index system of manufacturing enterprises. Finally, a financial performance evaluation index system suitable for analyzing digital transformation enterprises is constructed. The differences in financial performance before and after transformation are analyzed, and a comprehensive evaluation and comparative analysis are conducted on the financial performance of digital transformation enterprises and non-digital transformation enterprises. The experimental results show that the average growth rate of total assets of enterprises is 7.07%. The average growth rate of operating revenue is 20.99%. The standard deviations are 17.42% and 235.9%. There is a significant difference between the maximum and minimum values of these two indicators, indicating that the average dispersion of these two indicators is relatively high. In the initial phases of digital transformation implementation, enterprises that adopt digital technology experience a certain level of profitability improvement, as shown by the results. Compared to businesses that have not undergone a digital transformation, digitally transformed enterprises possess greater advantages and flexibility in digital operations. Digital transformation has important theoretical and practical value in improving the financial management level of digital transformation enterprises.

Empirical analysis of the factors of the green innovation performance of industrial enterprises based on DEMATEL method and factor analysis method

This study investigated factors of the green innovation performance of industrial enterprises in 30 provinces and autonomous regions across China. This study used literature analysis and DEMATEL method to identify the factors of green innovation performance of industrial enterprises. A green innovation performance evaluation index system was then constructed, and a mathematical model was established using factor analysis method to empirically analyze the factors of green innovation performance of industrial enterprises across 30 provinces and autonomous regions in China from 2012 to 2016. The results show that green innovation strength, technological development level, energy consumption, and environmental protection are the three factors of green innovation performance. Firstly, the influence of innovation strength on comprehensive green innovation performance has the largest weight, meaning that it has the largest impact on comprehensive green innovation performance. Secondly, the influence of the level of scientific and technological development on the comprehensive green innovation performance is weaker. Thirdly, the main influencing factor is the level of energy consumption and environmental protection. Finally, based on the empirical analysis, it is suggested that industrial enterprises should increase investment in green innovation, developing science and technology, and improving ecological environment, so as to enhance the green innovation performance of industrial enterprises.

Study on the Application of Balanced Scorecard in A Company

Based on the theory of performance evaluation and the existing research, taking high-tech Electric Company A as the research object, the current situation and the existing problems in performance evaluation are analyzed. Thirdly, based on the balanced scorecard, the index system of performance evaluation is established from four dimensions. Finally, put forward targeted implementation suggestions. Through the research, the conclusion is drawn: the introduction of the balanced scorecard theory, the decomposition of enterprise strategic objectives, and the construction of the performance evaluation system index combining financial dimension and non-financial dimension can improve the performance and enterprise value of A enterprise.

Performance Evaluation of Urban Emergency Governance: Conceptual Connotations and Empirical Research Based on the Crisis Life Cycle Theory.

Although scholars have discussed in depth about the evaluation content and the construction of evaluation index system of emergency management and crisis management, a unified and standardized interpretation of system construction concepts and empirical research on the performance evaluation of urban emergency management is still lacking. In view of this, this paper is based on the theory of the crisislifecycle, with the four phases of urban emergency management and the content of the task as a clue, constructed a performance evaluation index system containing 12 primary indicators and 44 secondary indicators, and centered on the emergency management work situation of S city. The study reveals that emergency management underperforms in S city, with a score of 5.948, qualifying as the "defined level". The "prevention and preparedness stage" receives poor evaluation, indicating a significant bias for crisis response instead of prevention. The report suggests the improvement of emergency material stockpile planning, the formation of grassrootsemergency response teams, the emergency management publicity, and special emergency drill plans, etc., with a view to providing reference for city managers to comprehensively review and evaluate the emergency management system, and to promote the construction of a more systematic, complete and scientific urban emergency management system.

The Performance Evaluation Model of Financial Special Rural Revitalization Funds from the Perspective of the Digital Economy

Digital village is the strategic direction of rural revitalization, and also an important part of building a digital China. At present, the construction of digital countryside is advancing, and a reasonable evaluation of the results of rural revitalization can effectively evaluate the use of funds. Therefore, in this study, firstly, based on the economic, social, and ecological perspectives, the fund performance evaluation index system of rural revitalization is constructed. Secondly, the correlation analysis method is used to select the evaluation index, and the combined weight method is employed to obtain the weight of the evaluation index. Finally, according to the extension cloud theory, the performance evaluation model of targeted poverty alleviation is implemented, and an empirical study is conducted on the performance evaluation of S Province with excellent rural revitalization. The results reveal that the income growth rate of the poor population, the incidence of rural poverty, and the rate of good air quality are the most vital indicators, with weights of 0.094, 0.092, and 0.07 respectively. From 2015 to 2021, S Province maintained a high level of environmental performance, while its economic performance and social performance needed to be further improved. The fund performance of rural revitalization experienced four levels: average, medium, good, and excellent, and showed a reverse trend in 2018 and 2021. This study makes a quantitative and qualitative evaluation of rural revitalization by using the extension cloud theory, which provides a reference for the effective use of special funds, and also provides a sufficient scientific basis for the macroeconomic layout.

The Relationship between Human Resource Management and Organisational Performance in Universities Combining Multiple Linear Regression

Abstract This paper first explores human resource management and organizational performance and investigates the multiple linear regression model and its hypothesis conditions, parameter estimation, model testing and variable normalization treatment. Then, the evaluation index system of university organizational performance was constructed, and the relationship between human resource management and organizational performance in universities was analyzed in depth through correlation analysis, the relationship between subjects’ basic conditions and organizational performance, analysis of variance explanation of endogenous latent variables, and empirical analysis of the relationship between human resource management practices and organizational performance. The results show that information sharing has a significant positive relationship with research contribution (β=0.293, Sig.=0.084, T=4.67) and based on human resource planning has a significant positive relationship with research input (β=0.55, Sig.=0.023, T=2.362). Therefore, human resource management in universities has a significant impact on organizational performance.

Fuzzy Comprehensive Evaluation of Pilot Cadets’ Flight Performance Based on G1 Method

In this paper, to better evaluate the flight performance of pilot cadets, a flight performance evaluation index system was constructed based on the task of the traffic pattern, the flight training manual, and interviews with instructors. The fuzzy comprehensive evaluation model established by the G1 method was used to evaluate the flight performance of pilot cadets. The flight data of 30 flight cadets were collected to verify the applicability of the fuzzy comprehensive evaluation model. The results showed that the index system established in this paper can meet the requirements of flight performance evaluation. In addition, the fuzzy comprehensive evaluation results were consistent with the evaluation results of experts. Therefore, the system is effective and feasible for the evaluation of pilot cadets’ flight performance through the fuzzy comprehensive evaluation model established by the index system and G1 method.

Multi-Objective-Based Intelligent Lubrication System Performance Evaluation Technology for Construction Machinery

The infrastructure construction process cannot be separated from construction machinery; it will inevitably produce wear and tear in the work. The level of wear and tear is severe and could cause mechanical accidents. There are safety hazards involved with wear and tear; thus, the study of the lubrication systems of construction machinery is crucial. This paper addresses the problems with the intelligent lubrication systems of construction machinery and establishes a performance evaluation index system for the intelligent lubrication systems of construction machinery by analyzing and selecting appropriate evaluation indexes. Based on the built evaluation system, a performance evaluation model was established based on the hierarchical analysis (analytic hierarchy process, AHP)–entropy weight method and a topological object element model. The feasibility of the model was tested using the example of an off-road mining dump truck. This model analyzes the performance strengths and weaknesses of smart lubrication systems and suggests improvement measures and recommendations for weak links. It also provides a reference for analyzing the performance of smart lubrication systems for other mechanical devices.

Research on Performance Evaluation Index System and Assessment Methods for Microgrid Operation in the Port Area

The vertical integration of ‘Generation-Grid-Load-Storage’ in microgrids for port areas is a prevailing trend. To comprehensively and accurately assess the operational efficiency of microgrids and develop an effective means for promoting the sustainable and scalable development of microgrids in port areas, an applicable evaluation index system and comprehensive evaluation method are essential. Addressing the issues of subjectivity in quantitative evaluation decision-making for different configuration and allocation schemes in port areas and the lack of a comprehensive evaluation system for microgrids in port areas, this study aims to scientifically and reasonably evaluate and select the most optimal configuration and energy dispatching schemes for microgrids in port areas. In this paper, the performance indicators of microgrids in port areas are hierarchically structured and classified into five dimensions: economic, energy efficiency, environmental, system reliability, and safety. A comprehensive evaluation index system for microgrid systems in port areas is constructed. Furthermore, an evaluation model for microgrid operational efficiency based on improved CRITIC-TOPSIS is proposed. The coefficient of variation is introduced to measure the relative strength and relative variation of indicators among dimensions, reducing the impact of correlation between indicators and improving the accuracy and objectivity of the evaluation results. Then, the TOPSIS method is used to calculate the comprehensive evaluation values and rank the optimal microgrid schemes in port areas. Finally, the feasibility of the evaluation index system and evaluation method for the operational efficiency of microgrids in port areas is verified through case analysis. The results indicate that the evaluation method based on improved CRITIC-TOPSIS can objectively and quantitatively evaluate the operational efficiency of microgrids in different port areas. The proposed method reasonably avoids the strong subjectivity in weight calculation by traditional expert judgment during the planning phase of microgrids in port areas, providing a new and scientifically effective engineering evaluation and analysis method for the evaluation of microgrid operational efficiency in port areas.

Modeling of farmers’ production performance portrait based on GASA-WFCM clustering

To identify the typical characteristics of farmers with different production performance, this paper constructs a farmer portrait model from the perspective of production performance segmentation. Firstly, we constructed the evaluation index system of production performance and quantified grape farmers’ production performance. Then, an optimized clustering algorithm (GASA-WFCM) was proposed to cluster the grape farmers based on their production performance, which was based on fuzzy C-mean algorithm, and incorporating the genetic simulated annealing algorithm to overcome the problem of sensitive initial clustering centers and tendency to fall into local optimum, and the ReliefF algorithm was also integrated to strengthen the contribution ability of effective features to clustering. Finally, we designed a labeling system and feature transformation quantification method, and combined with the visualization effects to realize the description of grape farmers’ portraits. The results of models training indicated that the convergence speed and division accuracy of the optimized clustering algorithm were significantly improved. By comparing the clustering results on the typical UCI datasets, it was demonstrated that GASA-WFCM algorithm improved the accuracy, NMI and ARI by 3.0%, 7.2% and 6.1%, respectively. Moreover, the segmentation method was applied in grape farmers dataset, and the findings revealed that Chinese fresh grape farmers may be clustered into three groups, namely high-yield-driven grape farmers, high-input-driven grape farmers and high -income grape farmers, respectively. This paper provided a set of methods of users clustering analysis and portrait from a theoretical point of view. The findings and suggestions can help provide accurate and focused decision support for improving the effect of agricultural technology promotion and farmers’ production performance.

Intelligent Evaluation of Innovative Enterprise Performance - Construction of BPNN Model based on Improved WOA Optimization

With the economic progress, the environment in which enterprises operation is becoming increasingly complex. Intelligent performance evaluation of innovative enterprises is of great significance for their own development. The traditional performance evaluation indicators of enterprises rely too much on their financial indicators, leading producers and operators to pay more attention to the short-term financial performance growth of the enterprise. The long-term development of enterprises is neglected, resulting in weak core competitiveness. Therefore, to better achieve the scientific evaluation of innovative enterprise performance, based on the innovative enterprise performance evaluation index system, an innovative enterprise performance intelligent evaluation model with the whale optimization algorithm optimized backpropagation neural network is constructed. For the shortcomings of the whale optimization algorithm in the operation, the wolf swarm algorithm isintroduced to optimize it. The experimental results show that the evaluation model based on the improved whale optimization backpropagation neural network proposed in the study has very small errors in the evaluation results of different samples, with no more than 3%. This indicates that the performance evaluation index system for innovative enterprises can objectively reflect enterprise performance. This evaluation model can offer a reasonable analysis of enterprise performance, providing reference for intelligent evaluation of innovative enterprise performance.

Construction of Economic Management Performance Model of Mining Enterprises under the Background of Supply-side Reform

The proposal of supply-side structural reform measures has ushered in new development opportunities for mining enterprises in the bottleneck period. As a result, a model for evaluating the economic management performance of mining firms at the new performance level must be established. This paper suggests an assessment model for the economic management of mining firms against the backdrop of supply-side reform in light of this. This study reasonably incorporated financial and non-financial performance indicators, constructed the Economic Management Performance (EMP) evaluation index system of mining enterprises, and created an economic management performance evaluation model of mining enterprises based on the BP neural network and analytic hierarchy process. The study selected the relevant data of five mining companies A, B, C, D, and E from 2017 to 2022 as the research object, verified the effectiveness of the model, and analyzed the performance evaluation results of the companies. The research results show that the model constructed in this study can evaluate the economic management performance level of enterprises within a reasonable range (the mean relative error is 1.98%). Since 2017, the comprehensive performance level of these five mining companies has gradually declined. But thanks to the supply-side reform, the comprehensive performance has gradually recovered after 2022 and among the five mining companies, company A has always been at the performance level way ahead. Overall, the model developed in this research has strong operability and practicability and can be utilized more effectively to forecast the mining industry’s potential for future growth.

A systematic framework to improve the digital green innovation performance of photovoltaic materials for building energy system

Under the current ‘double carbon’ policy, the building materials manufacturing industry has seriously restricted the improvement of social and environmental benefits. Digital green innovation (DGI) in photovoltaic building materials enterprises (PBMES) plays a crucial role in solving the problems of high-quality environmental and economic development. In order to make the DGI of PBMES more effective, it is very critical to evaluate the performance of the DGI activities of PBMES. First, the evaluation index system is constructed. Then, it constructs the theoretical framework of the DGI performance evaluation of PBMES. After that, on the basis of combining various evaluation methods, a combination evaluation model based on compatibility and consistency was constructed and the convergence test and consistency test of the combination evaluation results were carried out by means of the variance method and Spearman rank correlation coefficient, which verified the scientificity and validity of the method. Finally, using the evaluation model, 16 PBMES were empirically studied. It reflected that the DGI performance evaluation index system of PBMES is composed of four indexes, namely, technology input, economic output, scientific and technological output, and social effect. The key factors affecting the DGI performance of PBMES are the investment in talent training, the proportion of digital technology in green products, the success rate of digital innovation product development increased by DGI cooperation, and the digital level of adopting environmental management system. This article combines consistency-based evaluation methods to not only obtain reasonable evaluation results, but also fully utilize multi-level methods to better describe the evaluation object. The means provided in this article are a new way to solve the DGI performance evaluation of PBMES.