Performance Management Methods Research Articles

The intelligent operation and maintenance method and experimental research of CNC machine tool bearings

As the core components of high-precision rotary machine tools, machine tool bearings are prone to failure or damage, and their running state directly affects the safety and reliability of the entire equipment. Therefore, the paper proposes an intelligent operation and health management method for machine tool bearings based on Bayes-VMD-KPCA, Bayes-CNN-SVM, and health status evaluation index. Aiming at the complex working environment and high nonlinear degree of fault features of machine tool bearings, the Bayes-VMD-KPCA algorithm is used to perform variational mode decomposition of the original signal of the bearing fault, which avoids the influence of background noise and solves the problem of high dimension of multi-domain fault feature set. Second, the CNN-SVM fault diagnosis model uses a convolutional neural network (CNN) to deeply mine the extracted multi-domain fault features, and a support vector machine (SVM) can be used as a fault classifier to complete the diagnosis of various fault types of machine tool bearings. At the same time, the Bayes algorithm is introduced to tune the hyperparameters in the CNN-SVM model to further improve the prediction performance of the CNC machine tool-bearing fault diagnosis model. The results show that the intelligent operation and maintenance and health management method of CNC machine tool bearings proposed in this paper can effectively complete the fault type diagnosis and health status assessment of bearings, and its accuracy index reaches 99.33%. Compared with the single SVM model, Bayes-CNN model, Bayes-SVM model, and CNN-SVM model, the health effect is evaluated. The accuracy is increased by 6.33%, 4.33%, 2.66%, and 1%, respectively. It can be seen that the proposed method can more effectively realize the monitoring and health management of bearing fault.

The impact of operations management practices in improving organisational performance

The primary focus of this research article is to investigate the significant influence that operations management strategies have in improving the performance of organizations. It elucidates the complex influence that operations management methods have on key performance indicators like as profitability, customer satisfaction, and competitive advantage by conducting a complete analysis of the relevant literature and empirical data. When it comes to boosting efficiency and innovation, the findings underline the value of simplified processes, technology integration, and strategic alignment with organizational goals. In addition, the research highlights the significance of cross-functional cooperation and the development of human capital in the process of cultivating a culture of operational excellence. In conclusion, the paper emphasizes how important it is to prioritize operations management as a strategic imperative in order to achieve a sustainable competitive advantage and long-term success in the dynamic business climate that exists today.

Response and resilience to drought in northern forests revealed by Sentinel-2

ABSTRACT Enhancing forest drought resilience is important for preserving ecosystem services in the face of climate change, but operational management methods for boreal forests aiming to preserve ecosystem services under drought are still largely missing. This study explores the use of satellite remote sensing to monitor vegetation stress phases related to drought progression and to quantify both short- and long-term impacts on forest growth. Data from the Sentinel-2 satellite mission were used to calculate the response of vegetation indices across six forest types, using the time period from 2015 to 2017 as a reference dataset. The percentual difference between the drought year of 2018 and the reference period was used to represent disturbance intensity and the system’s capability to resist it. Additionally, the recovery time was taken into consideration. Breakpoint detection with daily temporal resolution was used to quantify the response time of each forest type in relation to the onset date of meteorological drought. Results indicate that Sentinel-2 data can be used to monitor vegetation stress associated with drought progression and estimate the characteristics of forest resilience. High temporal resolution observations should be prioritized over annual maximum vegetation index values to determine the intensity of disturbance. Consistent severe impacts were observed in areas with limited soil moisture availability. The recovery time of forests took up to 4 years. Drought exposure during consecutive years could be especially damaging for species requiring a longer recovery time than a single growing season. Sentinel-2-based monitoring approach could benefit decision-support systems for forest management aiming to enhance drought resilience.

A Systematic Review and Conceptual Framework for Natural Resource Performance Management

The topic of "Performance management of natural resources" has drawn more attention in the last few decades. Investigating how to manage natural resource performance more optimally is crucial for the long-term social and economic advancement of a nation. This study reviews the research progress of performance management of natural resources (including water resources) based on the pertinent literature of "Performance management of natural resources" and "performance management and evaluation of nature resources" in Web of Science. Through a review of the literature and inductive analysis, the authors found that the pursuit of sustainable resource consumption and management has emerged as the frontier direction of study. However, there is still room for development in the natural resource performance management evaluation system and methods, as well as the requirement for a comprehensive conceptual interpretation and analytical framework. As the literature on the factors impacting the success of natural resource management is currently lacking in depth, future research should concentrate on bolstering the usage of quantitative models. Enhancing the combination of research and quantitative models is also essential. This study builds research framework for natural resource performance management based on the body of current literature and the real-world experience of nations worldwide. In order to support decision-making for the sustainable use of natural resources, the authors describe the process and mechanism of performance management of natural resources and provide some workable evaluation methods based on a variety of evaluation objectives, subjects, and means.

IMPROVING THE FINANCIAL INDICATORS OF CREDIT ORGANIZATIONS USING MACHINE LEARNING

The aim of this article is to identify resource management issues related to the operational goal of the internal control system and to provide effective operational goal management methods with machine learning models. Machine learning algorithms were utilised to develop prediction models of capital, liabilities, income and profit based on the interdependencies of the indicators. Based on the intended profit/income ratio and the numerical quantities of assets, the optimal balance of credit organisations was predicted as a consequence of the models that were generated and used to solve the problem of financial indicator optimisation. The model proposed by us allows for the identification and avoidance of unnecessary concentrations of assets and liabilities, allowing both supervisory authorities and business owners to understand the alignment of the business with its vision, as well as identify problems and implement appropriate solutions, define new ambitious plans, and use resources more effectively.

Analyzing Operation Management Methods for Defect Mitigation in the Mass Production of Green Car Parts

Analyzing Operation Management Methods for Defect Mitigation in the Mass Production of Green Car Parts

MANAJEMEN KINERJA DAN METODE PENILAIAN KINERJA KARYAWAN PERUSAHAAN

Performance management and employee performance appraisal methods are important aspects of human resource management in every organization. Performance management includes the process of planning, monitoring, assessing and developing employee performance to achieve company goals. The performance appraisal method is a tool used to measure employee contributions to organizational success. This abstract explains the importance of effective performance management in increasing employee productivity, motivation and development. Various performance assessment methods, such as results-based, 360-degree, competency, behavioral, and OKRs assessments, provide flexibility in evaluating employees according to the organizational context. By combining targeted performance management with appropriate appraisal methods, organizations can achieve their strategic goals while providing meaningful feedback to employees. In the competitive business era, effective performance management and fair performance appraisal are the keys to organizational success and growth

Performance management of generalist care for hospitalised multimorbid patients-a scoping review for value-based care.

Given the shift towards value-based healthcare and the increasing recognition of generalist care, enacting value-based healthcare for generalist care is critical. This work aims to shed light on how to conduct performance management of generalist care to facilitate value-based care, with a focus on medical care of hospitalised patients. A scoping review of published literature was conducted. 30 publications which were relevant to performance management of generalist medical inpatient care were included in the review. The performance measures used across the studies were analysed and other qualitative findings were also obtained. We report an overall lack of research on performance management methods for generalist inpatient care. Relevant performance measures found include both outcome and process of care measures and both clinical and reported measures, with clinical outcome measures the most frequently reported. Length of stay, readmission rates and mortality were the most frequently reported. The insights from the papers emphasise the relevance of process of care measures for performance management, the advantages and disadvantages of types of measures and provide suggestions relevant for performance management of generalist inpatient care. The findings of this scoping review outline a variety of performance measures valuable for generalist inpatient care including clinical outcome measures, reported outcome measures and process of care measures. The findings also suggest directions for implementation of such performance management, including emphasis on physician level performance management and the importance of documentation training. Further research for selecting and operationalising the measures for specific contexts and developing a comprehensive performance management system involving these measures will be important for achieving value-based healthcare for generalist inpatient care.

ADVANCING PERFORMANCE MANAGEMENT AND IMPACT ON EMPLOYEE PERFORMANCE – A COMPREHENSIVE REVIEW AND FUTURE DIRECTIONS

This in-depth review goes deep into the ever-changing world of performance management, looking at the shifting trends, common problems, and huge effects on employee performance. The study looks at how performance management methods work in a variety of business settings, from small local businesses to large Maharatna companies. By looking at how well these methods work, the study hopes to find the best ways to do things and show where they can be improved. This study focuses on the manufacturing industry, which is an important part of the world economy. It looks at how well performance management systems work in this area. The study takes a detailed look at different project management situations and shows how tailored methods can help by taking into account the special challenges and chances that come with each one. As the review goes on, the focus changes to how important performance management activities are for improving employees skills and abilities. The connection between engagement and performance management is the main focus, showing how the two can work together to help employees learn new skills and grow as a whole. This in-depth study lays the groundwork for future research and shows companies how to improve their performance management methods to keep up with the changing needs of workers and the business world as a whole. KEYWORDS: Performance Management, Employee Performance, Trends, Employee Engagement, Future Directions.

Transformation in Organizational and Human Resource Management in the Digital Intelligence Age

This article explores the revolutionary impact of digital technology and artificial intelligence on organizational and human resource management in the era of digital intelligence. Confronted with challenges in industrial evolution, technological innovation, and customer-centric dynamics, businesses are urged to embrace innovation and instill a culture of transformation. The pivotal focus lies in propelling the transformation of organizational and human resource management in six key dimensions. Firstly, organizational systems evolve to become more open, interconnected, flexible, and adaptive. Secondly, human resource allocation diversifies, emphasizing collaborative synergy among team members. Thirdly, performance management methods underscore alignment with organizational strategy and culture, emphasizing the improvement of employees’ perspective and competence. Fourthly, values management signifies a shift towards intrinsic motivation and cultural consistency in personnel management. Fifthly, leadership styles stress motivation, empowerment, and support, prioritizing an employee-centric approach. Sixthly, it underscores the value of human capital as the cornerstone of innovative incentive strategies, advocating for sustained investment in key talent. In summary, the framework advocates for innovation as a strategic imperative, recognizing the intrinsic value of individuals as the driving force behind organizational success and underscoring human resources as a pivotal driver of organizational development in the era of digital intelligence.

An enterprise operation management method based on mobile edge computing and data mining

An enterprise operation management method based on mobile edge computing and data mining

An enterprise operation management method based on mobile edge computing and data mining

An enterprise operation management method based on mobile edge computing and data mining

AI in Performance Management: Redefining Performance Appraisals in the Digital Age

The digital age has ushered in a new era of workplace dynamics, challenging traditional methods of performance management. This paper examines the transformative role of Artificial Intelligence (AI) in redefining performance appraisals, a critical component of Human Resources (HR) in the digital landscape. With the integration of AI, we delve into how performance metrics have evolved from standardized measures to dynamic, personalized indicators that offer real-time feedback and foster unbiased assessments. Through the lens of AI-driven analytics, the paper discusses the creation of tailored development plans and predictive management strategies that align with individual career paths and organizational goals. Case studies from pioneering organizations illustrate the practical application, outcomes, and challenges faced in the transition to AI-enhanced appraisals. Additionally, we address the ethical considerations and privacy concerns associated with AI and big data in performance evaluations. The paper culminates in strategic insights for preparing HR professionals and businesses for the implementation of AI-driven performance systems and speculates on the future landscape of performance management in the digital age. This research aims to provide a comprehensive overview of AI's capacity to enhance the appraisal process, ensuring more effective management of talent in an ever-evolving technological environment.

Modern Approaches to Reforms in the Economy: Performance Measurement Development in the Armed Forces of Ukraine

This paper reflects the empirical study of how the environment affects the performance measurement evaluation methodology in the organization, based on research of the Ukrainian Armed Forces experience. The problem is defined by the different needs of main stakeholders and management. This paper seeks the possibility to develop the role of stakeholders in performance measurement. In this research, several sources and methods were used to collect data. First, the interviews were conducted by the representatives of the research organization. Documents analysis and meetings also played a significant role in research. The paper emphasizes the influence of the environment, represented by the external actors and development vector, on the performance measurement building. Balancing between interests of stakeholders and levels of management helps to develop a performance system, which will be suitable to reflect the Armed Forces outputs and outcomes. Originality of the study of the Armed Forces of Ukraine is an extreme and interesting case because the institution is under high pressure during reforms and military conflict. But such cases facilitate the existing theory, depicting the problems and advantages of the management approaches. Future research in this area should pay more attention to the interaction between the external and internal actors in performance management methods building, especially in the defense sector.

Toward Climate Neutrality: A Comprehensive Overview of Sustainable Operations Management, Optimization, and Wastewater Treatment Methods

Various studies have been conducted in the fields of sustainable operations management (SOM), optimization, and wastewater treatment, yielding unsubstantiated recovery. In the context of Europe’s climate neutrality vision, this paper reviews effective decarbonization strategies and proposes sustainable approaches to mitigate carbonization in various sectors such as buildings, energy, industry, and transportation and how these interlink with wastewater management. The study also explores the role of digitalization in decarbonization and reviews policies that can direct governments’ actions towards a climate-neutral society. This paper presents a review of optimization approaches applied in the fields of science and technology, incorporating modern optimization techniques based on various peer-reviewed published research papers. It emphasizes non-conventional energy and distributed power-generating systems along with the deregulated and regulated environment. Additionally, this paper critically reviews the performance and capability of the micellar-enhanced ultrafiltration (MEUF) process in the treatment of dye wastewater. The review presents evidence of the simultaneous removal of co-existing pollutants and explores the feasibility and efficiency of biosurfactants instead of chemical surfactants. Lastly, the paper proposes a novel Firm–Regulator–Consumer-Technology Enablers/Facilitators interaction framework to study operations, decisions and interactive cooperation considering the relationships between the four agents through a comprehensive literature review of SOM. The proposed framework provides support for exploring future research opportunities and holistic sustainability initiatives.

A Review of Performance Management in State-owned Enterprises and Private Enterprises in China

In order to improve profits, the theory of enterprise performance management has formed a corresponding theoretical framework and system. Enterprises can improve performance management methods based on their own situation. This research compares the differences between state-owned enterprises and private enterprises through literature review. The existing papers mainly focus on performance feedback and communication mechanisms, the application of performance management and corporate strategy, and the enthusiasm of employees to participate in performance management. The existing papers mainly focus on performance feedback and communication mechanisms, the application of performance management in line with company strategies, and the initiative of employees to participate in performance management. Neglecting the specific role of state-owned enterprises and not combining performance management with their social responsibility. In addition, the imperfect performance indicator system has also led to the problem of not being greatly influenced by subjective factors within the enterprise. The accuracy of performance evaluation in many enterprises is often influenced by human factors. The design of performance management evaluation indicators is not scientific, the evaluation is unfair, the concept of human resource management is lack of correctness, strategic planning, single evaluation results, ineffective use, lack of follow-up, and frequent communication in performance management; The recruitment and allocation of personnel are unreasonable, the construction of the management system is highly arbitrary, and there is a significant subjective bias in performance evaluation.

Adapting to a global pandemic: a qualitative assessment of programmatic responses to COVID-19 in the multi-country Women’s Integrated Sexual Health (WISH) programme

The COVID-19 pandemic caused significant disruption to sexual and reproductive health and rights (SRHR) globally but there is little published evidence on the COVID-19 response of SRHR programmes, or lessons learned through their adaptations. To document the COVID-19 response of a global SRHR programme (the Women’s Integrated Sexual Health programme), in-depth interviews were conducted between April and July 2021 with 22 key informants from implementing partners in Sierra Leone, Ethiopia and central or regional offices, the UK Foreign, Commonwealth and Development Office and the third-party monitoring partner. Framework analysis methods were used. Several rapid COVID-19 adaptations were identified: the development of crisis management and communication teams; increased partnership and engagement with government; reduced contact and risk in service delivery; reformulated community mobilisation; flexible performance management and remote methods of quality assurance; and sharing of learnings alongside the development of new guidance and tools. Throughout the pandemic, the programme was able to continue high-quality service delivery, though equity goals proved more difficult to reach. Challenges included the continually changing environment, competing pressures on governments, burdensome reporting, and staff burnout. The pandemic response was facilitated by prior experience of health emergencies, strong government relationships, a supportive workforce and some pre-existing approaches, tools, and systems. This study has identified important lessons that can inform programming in future crises, including the need for immediate recognition of SRHR as essential, sustained support for staff, use of multiple mechanisms to reach marginalised groups, adequate funding for equity goals, and a better balance between the burden of reporting and accountability needs.

Developing a model for managing sustainable regional forest biomass resources: System dynamics-based optimization

In Japan, the number of plantation forests that must be harvested is increasing. Therefore, it is desirable to establish an operational system with a high efficiency. When using efficient forestry machinery, it is necessary to secure a sufficient amount of operation commensurate with the cost of machines, while simultaneously considering the feasibility of the labor force. However, no previous research has presented a quantitative forestry operation management method from the viewpoint of optimizing the amount of operation on a regional forestry scale. First, a basic model that mathematically quantifies the amount of operation and changes in forest biomass by applying system dynamics (SD) was developed, and a regional forestry scenario with the labor force as a constraint was optimized. As a result of the optimization, it is suggested that the scenario will be sustainable if regional forests are managed in an area of approximately 800 ha for 10 workers. The amount of operation in the scenario was generally feasible with a limited labor force during the simulation period and was also validated against reported domestic forestry data. We conclude that the SD model can contribute to the development of a regional forest management plan tailored to local conditions. In addition, it will greatly contribute to the assessment of carbon reduction in the national forestry sector through sustainable management of local forest biomass resources.

ВЛИЯНИЕ СИСТЕМЫ УПРАВЛЕНИЯ НА ЭФФЕКТИВНОСТЬ ДЕЯТЕЛЬНОСТИ ОРГАНИЗАЦИИ

In the context of a rapid and dynamic change in the external environment, the emergence of new requests and changing positions of consumers, increased competition for resources, the emergence of new opportunities for business development based on digital tools, the changing role of human resources, the transformation of internal factors in the activities of organizations lead to a sharp increase in the importance of strategic management. As a result, management involves taking into account many factors: economic, technological, social, political, legal, each of which gives its own vision and understanding of the situation inside and outside the organization. Each organization in market competition operates in conditions of limited resources, which predetermines the need for their rational use in order to increase business efficiency. Therefore, the activities of enterprises and organizations must meet the conditions for achieving maximum results with minimal expenditure of resources. Considering the efficiency, it can be noted that the achievement of the entrepreneur's goal, which consists not only in obtaining, but also in maximizing profits, is possible subject to the growth of the economic efficiency of his business. In the last two or three years, Russian business has had to change its usual methods and schemes of doing business, develop and implement new development strategies. During this period, flexibility is extremely important for business, which helps to respond faster to market changes and quickly release the necessary resources in the face of disruption in supply chains and sanctions restrictions. Therefore, the business management system is flexibly rebuilt, adjusting approaches to planning, regulation, motivation and control in order to maintain and increase its efficiency. The organization management system and its impact on efficiency are considered, the key methods of performance management are revealed, taking into account the application in conditions of external instability.

KPI与OKR绩效管理方法的比较分析

KPI与OKR绩效管理方法的比较分析