Capability Assessment Method Research Articles

Government's public panic emergency capacity assessment and response strategies under sudden epidemics: A fuzzy Petri net-based approach

In the post-epidemic era, public panic has emerged as a highly significant secondary disaster, necessitating an urgent enhancement of emergency management capabilities by governments at all levels. In order to ensure a robust assessment of the government's ability to manage public panic, it is crucial to effectively address the influence of uncertain and ambiguous factors associated with such scenarios. This paper proposes a governmental public panic emergency management capability assessment method based on fuzzy Petri nets. By analyzing the factors influencing public panic across the four evolutionary stages, namely gestation, outbreak, diffusion, and fading, we establish a hierarchical evaluation index system for assessing emergency management capabilities. Additionally, we develop a range of multi-scenario emergency management strategies. To address the challenges posed by uncertainty, randomness, fuzziness, and insufficient statistical data within the assessment index system, we introduce fuzzy Petri nets and fuzzy reasoning rules to evaluate the emergency management capability of the assessment system and derive the optimal emergency management strategy. According to example simulations, the effectiveness and practicality of models and rules constructed using fuzzy Petri nets are demonstrated, highlighting their superiority over traditional assessment methods. This comprehensive approach equips the government with a versatile toolkit for effectively managing public panic emergencies.

Study on Equipment Support Capability Assessment Method Based on Neural Network

The performance of military equipment keeps improving, and troops are equipped with more and more sophisticated weapons and equipment, highlighting the importance of equipment maintenance and support. Without strong equipment support capability, it is impossilbe to cope with the fast-paced and high-intensity modern warfare, and to effectively give play to the role and advantages of equipment systems integration. Therefore, it is of great significance to have a profound study of and improve the equipment support capability assessment method. Based on requirement analysis, we built an equipment support capability assessment indicator system of the Army Digital Medium-sized Synthetic Brigade in cross-domain operations. The weight of the assessment indicator system was determined using the AHP analytic hierarchy process. The equipment support capability assessment model was constructed. With the data obtained from the exercises using real equipment and system-of-systems (SoS) countermeasure simulation tests, we completed the assessment of the equipment support capability of the Synthetic Brigade using neural network algorithms.

Evaluation method and optimization strategies of resilience for air & space defense system of systems based on kill network theory and improved self-information quantity

Resilience of air & space defense system of systems (SoSs) is critical to national air defense security. However, the research on it is still scarce. In this study, the resilience of air & space defense SoSs is firstly defined and the kill network theory is established by combining super network and kill chain theory. Two cases of the SoSs are considered: (a) The kill chains are relatively homogenous; (b) The kill chains are relatively heterogenous. Meanwhile, two capability assessment methods, which are based on the number of kill chains and improved self-information quantity, respectively, are proposed. The improved self-information quantity modeled based on nodes and edges can achieve qualitative and quantitative assessment of the combat capability by using linguistic Pythagorean fuzzy sets. Then, a resilient evaluation index consisting of risk response, survivability, and quick recovery is proposed accordingly. Finally, network models for regional air defense and anti-missile SoSs are established respectively, and the resilience measurement results are verified and analyzed under different attack and recovery strategies, and the optimization strategies are also proposed. The proposed theory and method can meet different demands to evaluate combat capability and optimize resilience of various types of air & space defense and similar SoSs.

Reentry Flight Capability Assessment Based on Dynamics–Informed Neural Network and Piecewise Guidance

To improve the flexibility of the trajectory and the diversity of the drop point of the reentry vehicle, a flight capability assessment method based on a dynamics–informed neural network (DINN) is proposed. Firstly, the concept of a reachable domain is introduced to characterize the flight capability of the reentry vehicle and to estimate whether there are appropriate TAEM points in the area. Secondly, after the impact characteristic analysis, the reachable domains corresponding to different initial flight states are obtained through moderate dynamic simulations and reasonable mathematical expansion. The flight states and boundary point positions of the reachable domain are used as the training database of DINN, and the acquired DINN can realize the fast solution of reachable domains. Finally, the effectiveness of DINN in solving the reachable domain is verified using simulation. The simulation results show that DINN manifests the same accuracy as the existing solving methods and can meet the demand of determining whether the target point is located in the reachable domain. Additionally, the running time is shortened to one–800th of the existing methods, reaching the millisecond level, to support real–time assessment and decision–making. A predictor–corrector guidance algorithm with the piecewise objective function is also introduced. The simulation results illustrate that the proposed algorithm can stably guide the vehicle from the initial state points to the target points in the reachable domain.

EV Response Capability Assessment Considering User Travel Demand and Cyber System Reliability

With the increasing penetration rate of electric vehicles (EVs), EV demand response holds great significance for promoting the optimal and secure operation of the power system. This paper proposes an EV response capability assessment method that considers EV users’ travel demands and the reliability of the cyber systems integrated into both the power grid and the transportation network. A novel framework for an integrated cyber–power–transportation system is proposed for the first time, and a reliability model for the cyber system is provided. A method is further proposed to calculate the state of an EV when it is plugged in, considering the reliability of traffic guidance information and the reliability of the release of such information. The degree of relaxation in the EV charging demand is proposed to reflect the user’s travel demand, based on which the EV response capability can be assessed. Extensive test results on a cyber–power–transportation system containing RBTS BUS6 and the Beijing transportation network are conducted to show the efficiency of the proposed method. The impact of cyber reliability on the EV trip and response capability is analyzed.

A new starting capability assessment method for induction motors in an industrial islanded microgrid with diesel generators and energy storage systems

Induction motor (IM) startup can cause voltage dip disturbances and is detrimental to the stable operation of industrial islanded microgrids. Firstly, this study investigates the active power characteristics of the diesel generator and battery energy storage system (BESS) with IM based on the steady-state equivalent circuit to determine the starting capability of an islanded microgrid. Then, the starting conditions and the stable feasible region of the diesel generator and BESS with IM are further deduced considering different mechanical power models. A new Starting Capability Index (SCI) for the IM of the islanded microgrid with diesel generators and BESS is proposed to assess the microgrid's overall starting capability and arrange the starting sequence during motor startup in different locations of islanded microgrids. Based on SCI, a strategy to determine the starting sequence of multiple IMs in the islanded microgrid is proposed to improve the quantities of IM startups and the microgrid's dynamic performance. Two cases of an islanded microgrid with diesel generators and BESS are tested using MATLAB/ SIMULINK to verify the effectiveness of the proposed methods.

A Wind Power Accommodation Capability Assessment Method for Multi-Energy Microgrids

With the increase in wind generation installed capacity, the uncertainty of wind power has brought great challenges to wind power accommodation. The accurate assessment result of wind power accommodation capability (WPAC) has important guiding significance to the formulation of the day-ahead wind power trading plan for the multi-energy microgrid (MEMG). This paper proposes a WPAC assessment method for the MEMG. A liner energy flow model is first derived based on the equivalent infinitesimal replacement and the mild assumption that supply temperatures of different heat load nodes are nearly the same. Then, the operational risk model easily embedded into the assessment model is established based on the probability distributions of prediction error corresponding to multiple wind power output ranges. Finally, the WPAC assessment model is constructed as a two-stage robust optimization problem and solved by the column-and-constraint generation (C&CG) algorithm. Simulations on a MEMG composed of the IEEE 33-bus power system and the 23-node district heating network (DHN) verify the effectiveness of the proposed method.

Emerging SEM equipment system combat capability assessment method

Abstract The system combat capability reflects the general characteristics of the weapon system. The combat capability of the equipment system is the result of the interaction and interaction of each system, and the emergence of the system has not yet formed a clear research idea and measurement method for its combat capability. Aiming at this problem, this paper analyzes the emergent characteristics of the system’s combat c The system combat capability reflects the general characteristics of the weapon system. The combat capability of the equipment system is the result of the interaction and interaction of each system, and the emergence of the system has not yet formed a clear research idea and measurement method for its combat capability. Aiming at this problem, this paper analyzes the emergent characteristics of the system’s combat capability and the structure and relationship between the weapon systems, and constructs an evaluation model for the emergence of the combat capability of the equipment system based on the structural equation model. It can reflect the generation characteristics of the system’s combat capability and the emerging sources, and provide a scientific basis for improving the combat effectiveness of the system, and also provide support for the evaluation of the contribution of the research equipment system. Taking an air defense and anti-missile warfare as an example, and the model parameters estimation and the example is evaluated and analyzed by using LISREL8.70 software. The effectiveness of the system’s combat capability assessment model based on structural equation model is verified. Capability and the structure and relationship between the weapon systems, and constructs an evaluation model for the emergence of the combat capability of the equipment system based on the structural equation model. It can reflect the generation characteristics of the system’s combat capability and the emerging sources, and provide a scientific basis for improving the combat effectiveness of the system, and also provide support for the evaluation of the contribution of the research equipment system. Taking an air defense and anti-missile warfare as an example, and the model parameters estimation and the example is evaluated and analyzed by using LISREL8.70 software. The effectiveness of the system’s combat capability assessment model based on structural equation model is verified.

Research on Assessment of Emergency-response Capability in China’s Port Industry

In China’s port industry, there is currently a lack of sound, systematic guidance and standards for the assessment of emergency-response capability. Taking the current emergency-management situation in China’s port industry as a starting point, this study analyzed current problems in emergency-response capability and examined advanced domestic and foreign practices in emergency management. The elements of emergency-response capability assessment were then established based on the following four aspects: organizational system, legal basis, operation mechanism, and guarantee system. An emergency-response capability assessment method was then constructed using the Delphi method and applied in practice. This method can help guide port businesses in performing their emergency-management duties; improve their prevention, early warning, and emergency-management abilities; and play a guiding role in building emergency-response capability with regard to accident prevention and rescue operations.

Developing one-sided specification six-sigma fuzzy quality index and testing model to measure the process performance of fuzzy information

Depending on the quality characteristic, a process capability index (PCI) can be used for one-sided specifications or for bilateral specifications. A number of researchers have investigated the statistical properties of one-sided specification indices and proposed methods for applications. The later introduction of the Six Sigma approach also assisted many firms in effectively enhancing their production capacities, reducing waste, and increasing effectiveness. Chen et al. (2017a) modified the PCI for one-sided specifications and proposed the Six Sigma Quality Index (SSQI), which coincidently equals the quality level and has a one-to-one relationship with yield. However, uncertainty in quality characteristic measurements is common in practice, which can lead to judgment errors in conventional process capability assessment methods. This study therefore developed an SSQI for one-sided specifications based on the fuzzy testing method created by Buckley (2005) and developed a Six Sigma fuzzy evaluation index and testing model. In addition to having a simpler calculation procedure, the model takes the process capability and Six Sigma quality level into consideration and can process the uncertainties in the data to make it more convenient for the industry to solve engineering issues. Finally, we presented a practical example to demonstrate the applications. The model proposed in this study can provide the industry with a practical approach to assess process quality in a fuzzy environment.

Quality Capability Assessment for Thin-Film Chip Resistor

Chip resistors are a type of resistor among passive components; they are mainly used to regulate the voltage and current in electronic products. A single electronic product may be embedded with dozens of or even more than a thousand thin-film chip resistors varying in resistance. Thin-film chip resistors have low temperature coefficients, which makes them stable and reliable. They have five primary nominal-the-best (NTB) quality characteristics: length, width, height, upper width, and lower width. To increase the quality of thin-film chip resistors and prevent losses from customers returning low-quality or defected products, this study proposes a quality capability assessment method. The proposed method takes sampling errors into account and includes acceptance criteria for individual quality characteristics and the total quality capability. If either of the criteria is not fulfilled, then the manufacturer must improve quality capabilities. A case study of a manufacturer in central Taiwan is presented to illustrate the feasibility of the proposed method. Finally, conclusions and recommendations for future work are presented.

DEVELOPING ONE-SIDED SPECIFICATION SIX-SIGMA FUZZY QUALITY INDEX AND TESTING MODEL TO MEASURE THE PROCESS PERFORMANCE OF FUZZY INFORMATION

Depending on the quality characteristic, a process capability index (PCI) can be used for one-sided specifications or for bilateral specifications. They are widely employed in the evaluation and improvement of process performance and are also good tools for communication between sales departments and vendors. The earliest PCIs for one-sided specifications were proposed by Kane (1986) and have one-to-one relationships with yield. A number of researchers have investigated the statistical properties of one-sided specification indices and proposed methods for applications. The later introduction of the Six Sigma approach also assisted many firms in effectively enhancing their production capacities, reducing waste, and increasing effectiveness. Like the PCIs, the Six Sigma quality levels have also become good quality control methods and communication tools in the industry. As a result, many researchers have examined the relationships between PCIs and the Six Sigma and their applications so that both approaches can be easily used to solve engineering problems in practice. In view of this, Chen et al. (2017a) modified the PCI for one-sided specifications and proposed the Six Sigma Quality Index (SSQI), which coincidently equals the quality level and has a one-to-one relationship with yield. However, uncertainty in quality characteristic measurements is common in practice, which can lead to judgment errors in conventional process capability assessment methods. In these cases, fuzzy calculation methods can determine the actual process capability more precisely. This study therefore developed an SSQI for one-sided specifications based on the fuzzy testing method created by Buckley (2005) and developed a Six Sigma fuzzy evaluation index and testing model. In addition to having a simpler calculation procedure, the model takes the process capability and Six Sigma quality level into consideration and can process the uncertainties in the data to make it more convenient for the industry to solve engineering issues. Finally, we presented a practical example to demonstrate the applications. The model proposed in this study can provide the industry with a practical approach to assess process quality in a fuzzy environment.

Assessing graduate sustainability capability post-degree completion

Purpose The purpose of this paper is to highlight both the need for measurement of graduate capabilities post-degree completion and the challenges posed by such a task. Higher education institutions provide an important site of learning that can equip future professionals with capabilities to manage and respond to complex sustainability challenges in their careers. Measurement of graduate uptake and application of sustainability capabilities is an important part of advancing sustainability curriculum and pedagogy to educate the twenty-first century sustainability capable graduates. Design/methodology/approach This paper explores the nature of capabilities and reviews existing approaches to capability assessment. Findings The nature of capabilities and their assessment post-degree completion pose a number of challenges for the development of assessment and measurement tools, which is why sustainability capability assessment methods are deserving of specific research attention. Research limitations/implications The assessment and application of capability in graduates’ professional contexts are an important part of closing the loop between learning and teaching in higher education and professional application of this learning. It is imperative that more research be undertaken on the methodology of graduate assessment, given the need to understand graduate learning outcomes as they apply in professional settings for graduate employability, promoting sustainability and developing effective sustainability pedagogy. Practical implications Given that there is significant overlap between employability skills, generic graduate attributes and sustainability capabilities, this paper has relevance beyond the measurement of sustainability capability to the measurement of uptake and professional application of generic capabilities more broadly. Social implications The measurement of graduate capability offers potential to enhance learning for sustainability. Measurement of graduate capabilities is a critical part of closing the loop between workplace expectations, graduate learning outcomes, learning and teaching and curriculum development during degree programs. Originality/value The review provided in this paper highlights a critical gap in research on methodologies to undertake measurement of workplace application of graduate capability. The paper explores considerations for measurement of graduate learning outcomes, specifically the difference between measuring competencies, skills and capability and the necessity for the measurement of the latter in the context of sustainability education for future professionals.

A Welding Capability Assessment Method (WCAM) to support multidisciplinary design of aircraft structures

Designing aircraft engines is a complex process in which requirements from multiple disciplines need to be considered. Decisions about product geometry and tolerances to achieve optimized aerodynamics, product life and weight can affect the manufacturing process. Therefore, providing information to designers about process capabilities is necessary to support design exploration and analysis. In this paper, the authors propose the Welding Capability Assessment Method (WCAM) as a tool to support the systematic identification and assessment of design issues related to product geometry critical to the welding process. Within this method, a list of potential failure modes during welding is connected to specific design parameters. Once the critical design parameters have been identified, quantitative methods are proposed to calculate tolerances to reduce the likelihood of welding failures. The application of this method is demonstrated through an industrial case study where a combination of interviews and welding simulations is used to study the welding capability of a number of product geometries. This method represents an advancement from traditional qualitative guidelines and expert judgments about welding difficulties towards a more quantitative approach, supporting virtual design.

Manufacturing Capability Assessment for Human-Robot Collaborative Disassembly Based on Multi-Data Fusion

In view of the fact that various resources are shared as services globally today in the manufacturing industry, the assessment and optimization for manufacturing capability of human-robot collaborative disassembly is the premise to realize the aggregation and optimization of the disassembly services, and provides the best basis for the optimal scheduling in the workshop. While human are the most basic manufacturing resource and industrial robots (IRs) are the most advanced, we establish a set of complete manufacturing capability assessment system and assessment model for human-robot collaborative disassembly in this paper. For the reason that most of the capability assessment method before ignored the data source selection of the assessment object, only used real-time data or historical data, this paper fuses the historical data and real-time data through manifold algorithm to get more accurate results. On this basis, we assess the manufacturing capability of human, robots, human-robot collaboration using the improved method combining PCA and Grey correlation degree method and AHP in disassembly process. Finally a case study is implemented to demonstrate the feasibility and effectiveness of the proposed method.

Access Control Capability Assessment Method Based on Security Entropy

In this paper, we propose analysis methods based on security entropy to overcome the problem of quantitative analysis, after going through the study of access control capability assessment for computer information system. At First, we computed the uncertainty how system determine irregular access behavior using the security entropy theory. Next, we defined the security theorem of classificatory information system, and proposed the standard of access control capability. Finally, we analyzed the typical access control models using the methods, and compared security and applicability of them. It proved that the method is appropriate for security quantitative analysis of access control model and for the evaluation of access control capability in information system.

Improvement of a Riveting Process Capability with Application of Tools and Methods of the Quality Management

Assessment of a process capability is an important area of the quality management. Quality of produced outputs depends on the quality of the process, in which product characteristics are formed. In considering the capability of the process, the ability of the process should be determined to provide the required quality of products. The required product quality has to meet customer requirements and expectations. For determination of process capability are used methods, which are based on comparing variability of selected product quality characteristics. The smaller the variability of the input factor is, the better is the process capability and therefore a better quality of product is produced. Improvement of process capability and reducing the variability of the product quality characteristics can be achieved by means of applying of statistical methods. Standards for the quality management system require the need of statistical methods application as well as other tools and techniques for improvement in business practice. It is necessary to use statistical methods in measuring, monitoring and process improvement. So can be determined the process variability, identified common and special causes of variability and in consequence to propose corrective actions. The paper describes first theoretical characteristics of capability assessment methods and tools in continuous improvement in industry praxis. With application of chosen statistical methods has been improved capability of the riveting process of clutch disk.

Combination of Structural Monitoring and Laboratory Tests for Assessment of Alkali-Aggregate Reaction Swelling: Application to Gate Structure Dam

Southwestern France's Temple-sur-Lot Dam, a gate structure built in 1948, has been subjected to continuous alkali-aggregate reaction (AAR)-induced displacements since 1964, despite nonsignificant residual swelling test results and low and relatively constant alkali content in the concrete. It has been assumed that this long-term behavior could be explained through a substitution process between calcium and alkali in the alkali-aggregate reactive gel. The calcium substitution phenomenon cannot be detected through a conventional residual swelling test since it is very slow, so an original AAR kinetics and residual swelling capability assessment method is proposed. A laboratory test dealing with silica consumption kinetics is first involved in this methods, and a numerical finite element inverse dam analysis, including laboratory measured consumption kinetics, is involved as a second step in this method. At a given period, only one observed structural displacement rate fit the final swelling amplitude. Comparison between instrument point displacement predicted by the calculations (not used for the fitting) and dam measured variations provided model prediction capability validation. Finally, future dam displacement and damage field prediction calculations were performed.

1.7.1 Risk Management Capability Maturity Quantitative Assessment Tool

AbstractA checklist and questionnaire based risk management capability assessment method is developed that gives quantitative scores directly linked to the goals and practices of the Capability Maturity Model Integration™ (CMMI) model. Direct and indirect artifact objective evidence is enumerated and scored against a benchmark model using the checklist. Affirmation data is collected using the questionnaire and categorized into culture, process, experience, and application per the Project Management Institute‐International Council on Systems Engineering (PMI‐INCOSE) risk management maturity level development model.