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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.

Human resource management is a more important part of public sector internal management. Based on the principles of objectivity, comprehensiveness, and significance of indicator construction, this paper constructs a human resource management performance assessment model in public community governance. It introduces the entropy weight method and TOPSIS method to comprehensively and objectively calculate the degree of influence of each evaluation indicator on public human resource management performance. Meanwhile, taking the data of public community governance in County S as an example, the vertical and horizontal comparisons of public human resource management performance are carried out to explore the corresponding public human resource management performance improvement strategies. The results of the study show that in the public human resource management of County S city, the weight of the character factor indicator is the largest (0.3801), and that of the diligence element is the smallest (0.0936), indicating that the character factor has the greatest influence on the human resource management performance of public community governance in County S city. In order to improve performance, it is recommended to promote the optimization of the management system by combining the performance management experience, as well as to continuously innovate the human resource incentive methods through multiple research.

The long-term safety of radioactive waste disposal facilities is ensured by developing performance assessment models. The general requirement of these models is to assess the risk caused by failure of disposal systems that leads to radionuclide release into the geosphere and their migration toward the near-field biosphere. The radiation dose and risk due to disposal practice are the endpoints of assessment of the model. A two-dimensional radionuclide transport model with a decaying source is modeled numerically to compute the radiological impact caused by radionuclide, iodine-129 (I-129) in the biosphere. The intrinsic part of the performance assessment model requires consideration of uncertainties and variabilities in the system that are indicated by the inherent variability (heterogeneity in the geological medium), measurement, and modeling uncertainties (the geohydrological, geochemical properties of the radionuclides being released and transported). In this study, the spatial variability in the geological medium is addressed by treating the hydraulic conductivity of the medium as a random field. The probability of the radiation dose exceeding the design threshold (i.e., the probability of failure) is computed using subset simulation method. The influence of autocorrelation length and coefficient of variation of hydraulic conductivity on the probability of failure and the transport behavior of radionuclide are also studied. Thus, the results showed that a probabilistic framework that accounts for spatial variability in the geological medium is necessary for performance assessment of radioactive waste disposal facilities. [ABSTRACT FROM AUTHOR]

Building energy performance assessment technique has become a new paradigm that plays a significant part in reducing world energy demand and greenhouse gas emissions. However, there exists a global proliferation of diverse models for assessing and benchmarking buildings. This paper proposes a single building energy performance assessment model that considered several factors that affect office building energy efficiency performances in two different countries. It aimed to develop a model that could identify building energy performance critical factors as a new technique for aggregating energy efficiency metrics for commercial buildings. It examined the relationship and interdependency between the variables as it affects buildings' performance as a basis for developing its theoretical model. Survey questions were derived from variables obtained from the existing literature using this theoretical paper proposition. A self-administered questionnaire was used to gather data from occupants of office buildings in Nigeria and the UK. Exploratory factor analysis and structural equation modelling via confirmatory factor analysis were used to analyse the explanatory power of the measured variables and their constructs. The results identified management, strategic and operational issues as critical factors that affect building energy performance in both countries. It confirmed the relationships and interdependency of the study factors and developed a new strategy that gives them proper considerations in the operations and management of building energy. Data collected support the theoretical model, and the measurement model fits into the conceptual model. The model gives a quantitative approach that identified critical factors for improving energy management and auditing efficiency of buildings. [ABSTRACT FROM AUTHOR]

In Part I of this study, the effectiveness of the new breakwater in terms of the attenuation of wave forces on coastal bridges, was comprehensively substantiated. In the present paper (Part Ⅱ), three key practical aspects concerning the development of the new breakwater are further investigated. Firstly, numerical simulations employing the Volume of Fluid (VOF) methodology are conducted to elucidate wave–breakwater interactions. These simulations are validated through comparisons with existing experimental data, thereby affirming the reliability of the numerical model. Subsequent wavelet analysis reveals a noteworthy phenomenon that the wave energy redistribution across the time–frequency domain significantly contributes towards the reduction of transient impacting forces. Following that, a validated ANSYS finite element model is employed to scrutinize the dynamic responses of the new breakwater under varying wave conditions. The analysis underscores that tensile stress, typically peaking at the arch foot region, dominates in governing the safety of the new breakwater, thus necessitating particular attention in this specific area. Furthermore, for the studied scenarios, the maximum tensile stress remains well below 1.33 MPa, suggesting that commonly used concrete materials such as C40 are more than sufficient for construction purposes. Finally, an adaptive Kriging-based surrogate model is established using machine learning techniques. This prediction model achieves determination coefficients of 98.19% and 98.63% when assessing the horizontal and vertical protective efficacy of the new breakwater, respectively, thus indicating a high degree of confidence in its predictions. Based on the prediction model, it is advisable to deploy the new breakwater in water depths that are less than 1.25 times its height, as such implementation could achieve a reduction of wave loads by 20% or more. • Three key issues on the novel tri-semicircle shaped submerged breakwater from the application perspective are elaborated. • The working mechanism, structural safety, and mitigation performance assessment of the new breakwater are detailed. • A prediction model for assessing the performance of the new breakwater is developed. [ABSTRACT FROM AUTHOR]

Performance assessment is the most important phase in each organization cycle to determine whether the organization has been functioning in accordance to the fundamental purpose of the organization existence. This is also true for the National Road Implementation Agencies (BBPJN/BPJN) as the technical supporting units of the Directorate General of Bina Marga - Ministry of Public Works that are responsible for the maintenance and functioning of the national roads in Indonesia. As public institution, currently BBPJNs and BPJNs are accountable for their performances and to be assessed in accordance to government assessment mechanism using Performance Report of Government Institution - LAKIP. Departing from some weakness on the current mechanism, this paper is to discuss the development a performance assessment model using DEA (Data Envelopment Analysis) approach as a complementary model to the existing performance measurement model. Using DEA approach, relative efficiency amongst road agencies can be compared, which will then can be utilized as the basis for decision by the Directorate General of Bina Marga on BBPJN/BPJN’s future workplan and budgeting

Abstract: Engineering R&D personnel''s performance is different from the general staff performance, so the assessment for them must be different. How to accurately measure performance of R&D staff has become a major problem. After considering the work characteristics of the engineering R&D staff, this paper designs performance indicators based on morality, ability, diligence, and performance and then uses AHP to determine the weight of every index; then fuzzy evaluation method is used to design performance appraisal model, to overcome the issue of quantifying the engineering R&D performance. Finally, this paper demonstrates performance appraisal model that is feasible and practical through empirical research. [Copyright &y& Elsevier]