Set Of Performance Indicators Research Articles

Scenario analysis of the expected integral economic effect from an innovative project

The purpose of the article is to analyse conceptual approaches to determining the financial feasibility of an innovative project and to develop a methodology for assessing the expected integral economic effect of an innovative project based on a set of performance indicators while ensuring the compatibility of the considered scenarios. Analysed are theoretical approaches to assessing the effectiveness of an innovative project in conditions of uncertainty. The features of evaluating the effectiveness of innovative projects are identified, and the need to assess the expected integral economic effect of socially significant innovative projects is substantiated. The indicators of efficiency and feasibility of evaluating an innovative project in the context of applicability in various economic conditions are critically studied. A set of indicators for evaluating the effectiveness of innovative projects has been determined based on the provisions of the integral approach, and these indicators have been systematised based on their relationship. The expected integral economic effect or possible damage from the implementation of an innovative project has been calculated. The expected integral effect of an innovative project with given intervals of probabilities for individual scenarios is calculated. An integrated methodology for assessing the integrated effectiveness of innovative projects is proposed, which combines quantitative and qualitative performance indicators, economic and non-economic effects. The key directions for the selection of effective innovative solutions in the presence of uncontrollable factors, taking into account a variety of indicators, have been determined. A methodology has been developed for evaluating effective innovative projects with a lack or absence of information about the conditions for their implementation and functioning. Methods have been developed for determining the best options for innovative projects based on the theory of multicriteria choice while ensuring the compatibility of the considered scenarios.

Linearising longitudinal vehicle dynamics through adaptive control techniques for platooning applications

Vehicle platooning provides avenues to improve road transportation. However, to safely operate a vehicle platoon, stringent conditions, e.g., string stability, on the closed-loop platoon dynamics must be guaranteed. To meet such platoon control specifications, linear longitudinal vehicle dynamics are usually assumed for the platoon control design and are imposed by using mid-level control systems. However, disturbances and model mismatches can limit the compensation of the nonlinear vehicle dynamics. To systematically impose the linear behaviour to each vehicle in a platoon despite model uncertainties and disturbances, two adaptive solutions are proposed and compared: an adaptive solution for systems in Brunovsky's form and the enhanced model reference adaptive control. Numerical results confirm that both adaptive techniques are effective in imposing the linear dynamics to the longitudinal vehicle motion, also when integrated within a platoon control architecture. The closed-loop platoon performance is assessed via a set of performance indicators for different platoon lengths.

ЕКОНОМЕТРИЧНА МОДЕЛЬ ОЦІНЮВАННЯ ДІЯЛЬНОСТІ ТУРИСТИЧНИХ ПІДПРИЄМСТВ

The work aims to develop an author's approach to modelling the performance of tourism enterprises using modern mathematical methods of multifactor modelling based on empirical data. To achieve this goal, the following tasks were set and solved: to generalize theoretical developments and practical approaches to evaluating the effectiveness of tourism enterprises at the regional and national levels; substantiate the methodological basis and choice of econometric tools for modelling the evaluation of the effectiveness of tourism enterprises, taking into account the available statistical base; to develop an econometric model for evaluating the effectiveness of tourism enterprises that would allow determining a system of indicators for assessing the impact of the effectiveness of tourism enterprises on the economic development of territories; to develop recommendations for the application of the author's model in the substantiation and management decisions in the process of forming the foundations of regional and national economic policy. The author's approach to assessing the impact of tourism enterprises on the processes of economic development of the regions is proposed in the article. In the process of econometric modelling, the method of analysis of canonical correlations was used, which allowed obtaining an analytical view of empirical relationships of sets of performance indicators of tourism enterprises and indicators of economic development of regions, which, in turn, allows to obtain a formalized interaction of tourism enterprises and region. to obtain a realistic estimate of the contribution of tourism enterprises to GRP generation. The canonical analysis of the interaction of indicators reflecting the economic performance of tourism enterprises in the regions of Ukraine and indicators of economic development of the regions showed that the most priority areas of tourism enterprises in the regions of Ukraine that contribute to the development of regions, territories and increase employment are revenues from tourism services in the form of sale of tourist vouchers to citizens of Ukraine abroad for the purpose of specialized tourism, leisure, recreation and children's tourism. The growth of the share of tourist services both in the structure of gross regional product and in the structure of consumption in the world should stimulate domestic tourist enterprises to work towards increasing those indicators of tourist activity that would increase their profitability and competitiveness in the distribution of tourist flows. with the state, national tourist facilities and tourist infrastructure, especially in regions with sufficient tourist potential and low level of its use, to ensure a high level of quality of tourist services in accordance with international standards, to develop tourist activities within Ukraine.

A reference model for science and technology parks strategic performance management: An emerging economy perspective

Abstract There has recently been great concern with the performance of science and technology parks (STPs). This paper proposes a reference model for the strategic performance management of STPs built on the theoretical bases of service dominant logic and the balanced scorecard. We conducted a survey of the strategic managers and owners of 84 firms located in 15 different STPs in Brazil. The research model was validated using Structural Equation Modeling. The results validated a set of performance indicators in a management model that can be used to better manage these endeavors.

A dynamic performance measurement system for supply chain management

PurposeThis paper aims to propose a dynamic model for measurement supply chain performance (SCP) based on a dynamic balanced scorecard (DBSC). Balanced scorecard (BSC) can be defined as a popular performance measurement method that can translate the strategy into a set of performance indicators and manage the status of implementing the various strategies. However, BSC is unable to simulate the complicated environment and the dynamic behavior of performance metrics. Therefore, the author combines BSC with system dynamics (SD) to explore a more efficient tool for measurement SCP.Design/methodology/approachA dynamic causal model is proposed based on the causal hypotheses. The developed DBSC enables managers to evaluate and measure the SCP in a much-balanced way. Using DBSC makes it possible that different SCP metrics to be reviewed and distributed into the four above-mentioned perspectives. It also enables supply chain (SC) managers to evaluate different strategies to improve SCP.Findingsinvestigates two strategies to improve SCP as follows: (1) competitive strategy and (2) harvesting big data and using data mining techniques to determine the customer's expectations and then compares the results of these two strategies based on the four perspectives of DBSC and introduce the best strategy. Finally, harvesting big data and data mining is selected as the best strategy.Originality/valueThis study proposes a novel strategic management tool for measurement SCP and simulation of the complicated environment and the dynamic behavior of performance metrics. The proposed DBSC model enables managers to compare different strategies and select the best strategy.

COURT STATISTICS – A TOOL FOR MANAGEMENT AND STRATEGIC PLANNING

Court statistics developed over the time from bureaucratic data collection to monitoring and evaluation of court performances and judicial reforms. In the Europe, the Council of Europe CEPEJ contributed to the promotion of court statistics as a tool for management over judiciary and evaluation of judicial performances. Modern use of statistical reporting requires setting of performance indicators, which tracking will enable monitoring of court performance and inform decision making on further actions. Some of performance indicators are recommended by the CEPEJ and are widely accepted, like clearance rate and disposition time. However, court statistics could include information beyond court cases, like financial data per court and human resource data, which could inform interventions in the area of human resource management and financial resource management, i.e. equalization of workload among courts and judges, as well as calculation of cost per case. The use of information and communication technologies (ICT) in the courts and court statistics contributed significantly to improvement of administration of justice, through development of automatized case management systems, automatic export of relevant reports on court performance based on predefined indicators. However, few preconditions are required for successful deployment of the ICT in judiciary. Countries were putting efforts to strengthen court statistics and some good practices were developed over time. Slovenia dashboard for improvement of disposition time and Serbian court maps for tracking backlog reduction are good examples that could be used replicated in countries with similar challenges and goals.

АНАЛІЗ ЕФЕКТИВНОСТІ В ХОЛОДНИХ ЛАНЦЮГАХ ПОСТАВОК ПІДПРИЄМСТВА

The article is devoted to the study of the efficiency analysis system in the cold chains of food industry enterprises. Models of the relationship between the total costs of logistics and key performance indicators of food industry enterprises have been investigated.Economic instability and the increasing importance of the logistics component in the economies of all countries require the development of new methods for assessing supply chains in order to find effective ways to reduce costs and increase the competitiveness of enterprises. A detailed review of literature sources allowed the author to choose a method for assessing key performance indicators that gives the most accurate assessment results, and also choose the factors of argumentation in comparison with other methods of economic analysis. By modeling business processes in cold supply chains and then controlling their parameters, you can describe actions and quickly respond to changes in the external and internal environment. A set of performance indicators for an enterprise's logistics can be based on the following system: typical key performance indicators; typical key performance indicators of business processes; clarification of key performance indicators of logistics solutions. An algorithm has been developed for assessing the impact of economic indicators on the efficiency of cold supply chains, taking into account the use of models, which allows to identify the directions of changes to ensure the required level of efficiency of the enterprise's logistics system, like everyone else. Approaches and models for evaluating performance indicators in cold supply chains of food industry enterprises have been formed. The proposed approach allows us to trace the impact of costs arising in holonic supply chains on economic performance indicators. The developed complex three-level model of analytical assessment of key performance indicators of the refrigeration supply chain of food industry enterprises allows us to trace the relationship of the model of total logistics costs with key performance indicators. Application of the proposed approach makes it possible to describe the transportation process taking into account all types of restrictions (technological, technical, organizational, administrative) and proceed to a reasoned development of measures to improve the efficiency of individual operations for the transportation of perishable products.

Improving ANN-based streamflow estimation models for the Upper Indus Basin using satellite-derived snow cover area

The mountainous catchments often witness contrasting regimes and the limited available meteorological network creates uncertainty in both the hydrological data and developed models. To overcome this problem, remotely sensed data could be used in addition to on-ground observations for hydrological forecasting. The fusion of these two types of data gives a better picture and helps to generate adequate hydrological forecasting models. The study aims at the improvement of ANN-based streamflow estimation models by using an integrated data-set containing, the satellite-derived snow cover area (SCA) with on-ground flow observations. For this purpose, SCA of three sub catchments of Upper Indus Basin, namely Gilgit, Astore and Bunji coupled with their respective gauge discharges is used as model inputs. The weekly stream-flow models are developed for inflows at Besham Qila located just upstream of Tarbela dam. The data-set for modeling is prepared through normalizing all variables by scaling between 0 and 1. A mathematical tool, Gamma test is applied to fuse the inputs, and a best input combination is selected on the basis of minimum gamma value. A feed forward neural network trained via two layer Broyden Fletcher Goldfarb Shanno algorithm is used for model development. The models are evaluated on the basis of set of performance indicators, namely, Nash–Sutcliffe Efficiency, Root Mean Square Error, Variance and BIAS. A comparative assessment has also been made using these indicators for models developed, through data-set containing gauge discharges, only and the data-set fused with satellite-derived SCA. In particular, the current study concluded that the efficiency of ANN-based streamflow estimation models developed for mountainous catchments could be improved by integrating the SCA with the gauge discharges.

Measuring Information Management at MCI Simulation: Instruments Evaluation and Comparison

Introduction: Information management (also known as “communication” or “gathering and analyzing information”) is one of the core tasks of MCI (Mass-Casualty Incident) commanders during the chaotic prehospital phase.1 To train EMS (emergency medical service) personnel on how to manage an MCI efficiently, simulation drills are conducted in which participant performance is evaluated. As such, varied instruments have been developed to measure information management quality during MCI simulations. Since every instrument could lead to different results, our goal at the current study was to evaluate what are the advantages of applying each one of the instruments. Methods: Three instruments were chosen for the current study: (1) The Self-Assessment Teamwork Tool for Students (SATTS), (2) a set of performance indicators aimed to be scored by an experienced observer, and (3) Dynamic Information Management Quantification Instrument (DIMQI) which allows quantifying information items. All instruments were applied to the same MCI simulation. Results and Conclusions: Applying each of the instruments yielded a different layer of information. Thus, researchers and instructors consider using all three instruments as they are complementary to each other.

The measurement and improvement of maternity service performance through inspection and rating: An observational study of maternity services in acute hospitals in England

ObjectivesTo determine whether the prior performance of maternity services, as measured by Royal College of Obstetricians and Gynaecologists performance indicators, is associated with ratings by the Care Quality Commission at subsequent inspection, and whether performance changes occur after inspection. MethodsWe used hospital activity data from 176 maternity sites inspected between October 2013 and March 2016 to generate a set of performance indicators developed by the Royal College of Obstetricians and Gynaecologists. We linked these data to Care Quality Commission data on inspection dates and rating scores and used regression models, controlling for site level effects, to estimate the relationships between inspection ratings and performance indicators before and after inspections. ResultsCoefficients measuring the relationship between indicator performance and subsequent inspection rating score had wide confidence intervals which crossed zero suggesting no statistically significant relationship prior to inspection. The same absence of statistical significance was observed for changes in indicator performance after inspection. ConclusionsThe use of routine data for performance monitoring is becoming increasingly important as regular inspection is costly and regulators require accurate and timely intelligence. However, we found no statistically significant relationships between inspection ratings and performance indicators before or after inspections in maternity services. This calls into question the validity and reliability of the performance indicators, the inspection process and ratings, or both, as measures of performance.

Development of an assessment tool for infrastructure asset management of urban drainage systems.

The present paper deals with the improvement of infrastructure asset management of urban drainage systems (UDS). A numerical tool for assessing the existing management procedures is proposed. It is based on a participatory methodology for the construction of a set of performance indicators. This methodology consists of two phases. The first concerns the identification of priority objectives, criteria and indicators related to the management of the UDS infrastructure. The second phase concerns the assessment of the global performance for each identified objective. Performance measurement scales are first defined for all the elements of the proposed methodology. Then, the Fuzzy Analytical Hierarchy Process (FAHP) is used for the weighting stage, and the Weighted Sum Method is used for the aggregation of indicators and criteria. To illustrate this methodology, a case study concerning Bejaia City in northern Algeria was carried out. Two priority objectives are identified for this case, they are divided into 6 criteria and 31 indicators. The results of the application of the developed tool highlighted some weaknesses that need improvements in the actual management procedure applied by the local sanitation services.

Performance evaluation of manufacturing collaborative logistics based on BP neural network and rough set

The collaborative logistics in manufacturing industry has a greater impact on its operation effect, and there are many hidden factors. In order to improve the performance evaluation of manufacturing collaborative logistics, this study builds a combined performance evaluation model based on BP neural network and rough set. Moreover, this study uses the rough set attribute reduction theory to screen and optimize the evaluation indicators to obtain the key performance indicator set, and then uses BP neural network to predict and evaluate the key performance indicator data, which greatly reduces the number of training times and shortens the learning time. In addition, in this study, a case analysis was used to solve the performance evaluation model of manufacturing collaborative logistics based on rough set and BP neural network, and corresponding strategies were given. The research results show that the method proposed in this paper has certain effects.

Waiting times in emergency departments: a resource allocation or an efficiency issue?

BackgroundIn recent years, the flow of patients to the Emergency Departments (ED) of Western countries has steadily increased, thus generating overcrowding and extended waiting times. Scholars have identified four main causes for this phenomenon, related to: continuity of primary care services; availability of specific clinical pathways for chronic patients; ED’s personnel endowment; organization of the ED. This study aims at providing a logical diagnostic framework to support managers in investigating specific solutions to be applied to their EDs to cope with high ED waiting times. The framework is based on the ED waiting times and ED admission rate matrix. It was applied to the Tuscan EDs as illustrative example.MethodsTo provide the factors to be analyzed once the EDs are positioned into the matrix, a list of issues has been identified. The matrix was applied to Tuscan EDs. Data were collected from the Tuscan performance evaluation system, integrated with specific data on Tuscan EDs’ personnel. The Tuscan EDs matrix, the descriptive statistics for each quadrant and the Spearman’s rank correlation analysis among waiting times, admission rates and a set of performance indicators were conducted to help managers to read the phenomena that they need to investigate.ResultsThe combined reading of the correlations and waiting times-admission rates matrix shows that there are no optimal rules for all the EDs in managing admission rates and waiting times, but solutions have to be found considering mixed and personalized strategies.ConclusionsThe waiting times-admission rates matrix provides a tool able to support managers in detecting the problems related to the management of ED services. In particular, using this matrix, healthcare managers could be facilitated in the identification of possible solutions for their specific situation.

Assessing perceived driving difficulties under emergency evacuation for vulnerable population groups

The devastating impacts of natural hazards, including loss of lives and properties, underline the importance of efficient hazard preparedness, especially in the areas with frequent hazard occurrence. Several studies indicated that driving during emergency evacuation is quite challenging due to dense traffic flow, inclement weather conditions, and unexpected maneuvers of other evacuees. However, limited research has been directed towards assessing the perceived driving difficulties of individuals, including vulnerable population, under emergency evacuation. This study deploys a driving simulator in order to emulate realistic emergency evacuation scenarios and to quantify the perceived driving difficulties of individuals under emergency evacuation. Based on the data, collected using a driving simulator, a number of statistical models are proposed to determine a set of performance indicators, including the mental demand, physical demand, temporal demand, performance, effort, and frustration, experienced by individuals as a result of emergency evacuation. The statistical models also capture a variety of different driver characteristics, traffic characteristics, driving conditions, and evacuation route characteristics. The analysis results suggest that the considered performance indicators are significantly influenced with a number of factors, including age, gender, education, race, presence of chronic diseases, and self-reported driving ability. The insights from the conducted research can be applied at the hazard preparedness stage to mitigate the perceived driving difficulties of individuals under emergency evacuation and ensure their safety.

FORMATION OF A SYSTEM OF INDICATORS FOR EVALUATING THE EFFICIENCY OF THE ORGANIZATIONAL STRUCTURE OF A PRODUCTION AND TRADE ENTERPRISE

The study proposed a system of indicators to assess the effectiveness of building the organizational structure of production and trading enterprises, which consists of three groups that reflect: the effectiveness of the enterprise’s management structure through the end results of its activities and management costs, which reflect the content and process of organizing the enterprise’s management structure and management costs that characterize the rationality of the organizational structure of the enterprise and its technical, organizational level. Based on the proposed groups of indicators, it is recommended to conduct an expert survey of trade specialists in order to obtain a real integral conclusion about the appropriateness of assessing the effectiveness of restructuring the organizational structure of the enterprise.Evaluation of the management effectiveness of a manufacturing and trading enterprise serves as an important element in the development of preplanned decisions, which makes it possible to determine the level of adaptability and progressiveness of an existing or projected structure, measures taken in the process of modernizing an enterprise, choosing the most rational version of a structure, and a way to improve it. Moreover, the effectiveness of the organizational structure is evaluated by designers in the process of consulting work to improve management.A comprehensive set of performance indicators for the management system of a manufacturing and trading enterprise is formed taking into account the following directions of evaluating its effectiveness: the degree to which the results correspond to the goals of market activity, the degree to which the process of functioning of the management system meets the requirements for its content and production results.The weak point of most organizational design projects is the lack of attention to the specifics of production and trading enterprises as objects of performance evaluation. As a result, the effect of grouping units is distorted; there is a shift of guidelines when substantiating the integrated activities that are laid down in the project, or the comparability of the options for these activities.The situation in the Ukrainian economy is such that for most trading enterprises, organizational changes are a prerequisite for their survival, to avoid stopping production and trade. In such cases, the characteristics of the systemic effect can be considered in the form of ordinary indicators of the effectiveness of production and trading activities.

A patient-level key performance indicator set to measure the effectiveness of fracture liaison services and guide quality improvement: a position paper of the IOF Capture the Fracture Working Group, National Osteoporosis Foundation and Fragility Fracture Network

SummaryThe International Osteoporosis Foundation (IOF) Capture the Fracture® Campaign with the Fragility Fracture Network (FFN) and National Osteoporosis Foundation (NOF) has developed eleven patient-level key performance indicators (KPIs) for fracture liaison services (FLSs) to guide quality improvement.IntroductionFracture Liaison Services (FLSs) are recommended worldwide to reduce fracture risk after a sentinel fracture. Given not every FLS is automatically effective, the IOF Capture the Fracture working group has developed and implemented the Best Practice Framework to assess the organisational components of an FLS. We have now developed a complimentary KPI set that extends this assessment of performance to the patient level.MethodsThe Capture the Fracture working group in collaboration with the Fragility Fracture Network Secondary Fragility Fracture Special Interest Group and National Osteoporosis Foundation adapted existing metrics from the UK-based Fracture Liaison Service Database Audit to develop a patient-level KPI set for FLSs.ResultsEleven KPIs were selected. The proportion of patients: with non-spinal fractures; with spine fractures (detected clinically and radiologically); assessed for fracture risk within 12 weeks of sentinel fracture; having DXA assessment within 12 weeks of sentinel fracture; having falls risk assessment; recommended anti-osteoporosis medication; commenced of strength and balance exercise intervention within 16 weeks of sentinel fracture; monitored within 16 weeks of sentinel fracture; started anti-osteoporosis medication within 16 weeks of sentinel fracture; prescribed anti-osteoporosis medication 52 weeks after sentinel fracture. The final KPI measures data completeness for each of the other KPIs. For these indicators, levels of achievement were set at the < 50%, 50–80% and > 80% levels except for treatment recommendation where a level of 50% was used.ConclusionThis KPI set compliments the existing Best Practice Framework to support FLSs to examine their own performance using patient-level data. By using this KPI set for local quality improvement cycles, FLSs will be able to efficiently realise the full potential of secondary fracture prevention and improved clinical outcomes for their local populations.

The Effectiveness of Innovative Infrastructure: The Case of Kazakhstan

Purpose: The development of an innovative economy is constrained by the problems of science funding, modernization of scientific institutions and innovative training of specialists. This article focuses on the problem of evaluating the effectiveness of the innovation infrastructure of the Republic of Kazakhstan using a systematized set of performance indicators.Methodology/Approach: Approaches to assessing innovation infrastructure have been analysed. Based on the analysis, correlation and regression assessment model has been developed.Findings: A forecast has been made for innovative infrastructure development based on the obtained performance indicators. This forecast is of high practical significance, as it allows predicting the outcomes of innovation.Research Limitation/implication: In the light of globalization, it is extremely urgent to develop an innovative economy along with regional innovation systems. If combined, these systems can accelerate the innovation processes in the regions, ensure competitiveness and expedite the socio-economic development. The formation of an innovative economy should be in line with the productive forces and production relations.Originality/Value of the paper: Through categorization, this study establishes a set of underlying indicators, which are used to measure the performance of the innovation infrastructure. A model of correlation and regression analysis is built, which allows evaluating the effectiveness of the innovation infrastructure of Kazakhstan.

Value based seismic design of structures using performance assessment by the endurance time method

A framework for optimal seismic design of structures, considering maximum value as the design objective, is introduced. In this framework, the value parameter incorporates a comprehensive set of performance indicators. Decision indicators are mapped into equivalent economic values and are directly involved in the design process. This approach leads to optimal assignment of the available resources to meet infrastructure requirements. The construction cost and the risk of seismic consequences are considered as the value components. FEMA-P58 methodology is utilized in estimation of the seismic consequences including the repair cost, repair time, injuries and casualties. Endurance Time method is employed as an efficient procedure for estimating the engineering demand parameters at different seismic hazard levels. The applicability of the Endurance Time method is verified and compared to the results of Incremental Dynamic Analysis. The proposed design procedure is employed in design optimization of two multi-story buildings. Design outcomes are compared to the outcome of the conventional code-based design procedure minimizing the structural construction cost, in terms of seismic response and consequences. The value-based design approach considerably increases the total economic value of the studied structures. The code-based design in the studied cases is found substantially sub-optimal considering the maximum achievable value.

EVALUATION OF FUNCTIONING COSTS OF AN ENTERPRISE

Introduction. Costs are a necessary attribute and an unconditional driver of any business entity. Not having made an expense it is impossible for a company to obtain and dispose its revenues. Costs accompany operations of an enterprise throughout its existence, so their proper identification, accounting, grouping, distribution, analysis and subsequent forecasting and planning are necessary processes for effective business activity. Purpose. The goal of the article is a thorough study of available methodological approaches to comprehensive analysis of company’s functioning costs, and forthcoming elaboration of proposals for solving the identified problems. Method (methodology). The author uses a number of general scientific research methods, including abstract-theoretical, dialectical methods, induction and deduction, analysis and synthesis, that were exploited to identify and generalize the theoretical and methodological bases for cost analysis and developing a set of key indicators. Results. The article discloses the tasks, features and aspects of business functioning cost diagnostics of industrial and trading enterprises. The existing methodological approaches to the analysis of cost management efficiency in domestic and foreign sources were analyzed. The author proposes to decompose such a research into five aspects: volume and structure of expenses, unit costs, critical output, resource consumption and cost of capital. A comprehensive set of performance indicators was formed and recommendations for their calculation were suggested. These proposals can be used for a profound cost analysis of industrial, commercial, agricultural business entities, enterprises representing such sectors as «Information and Telecommunications», «Professional, scientific and technical activities» and others.

A Task Scheduling Algorithm for Phased-Array Radar Based on Dynamic Three-Way Decision.

The time resource management of phased-array radars is the key to fulfilling their performance, such as how phased-array radar can efficiently and reasonably schedule tasks under limited resources. Therefore, this paper proposes a task scheduling algorithm for phased-array radar based on dynamic three-way decision. The algorithm introduces three-way decision into the scheduling algorithm and divides the target into three threat areas according to the threat degree (i.e., threat area, nonthreat area, and potential threat area). Different threat domains are assigned different weights and combine the working mode and the task deadline to carry out comprehensive priority planning, so that the radar can reasonably allocate time according to the difference of the target threat level and the threat area in the tracking stage. In addition, an improved adaptive threshold algorithm is proposed to obtain a dynamic three-way decision to achieve the adaptation of the algorithm. A set of performance indicators have been defined to evaluate the algorithm. The relevant experiments have demonstrated that the proposed algorithm can effectively improve the processing capability of phased-array radars when dealing with high-threat targets.