scispace - formally typeset
Search or ask a question

How to identify critical chain? 


Best insight from top research papers

Identifying the critical chain can be done using various approaches. One approach is to use a simulation data oriented approach to identify critical branches . This approach involves generating cascading failure chains and constructing a directed weighted graph to represent branch interactions. The hypertext-induced topic search (HITS) algorithm is then used to rate and rank the vertices of the graph, allowing for the identification of critical branches . Another approach is to use a simulation data based analytical approach, which involves sampling cascading failure chains and quantifying the interaction strength among failure branches . A directed weighted graph is constructed to depict the interactions among branches, and the HITS algorithm is used to rank the vertices and identify the critical branches . Additionally, an identification method based on path chains and transmission betweenness can be used, where a directed and weighted topological model is established and the transmission betweenness value of each line is calculated and sorted .

Answers from top 5 papers

More filters
Papers (5)Insight
The paper proposes an identification method for critical lines based on the fault chain model. It uses factors such as load level, failure rate, load rate, and correlation coefficients to determine the initial failure. It then predicts the intermediate links using probability importance degree and structural importance degree. Finally, it identifies critical lines based on the location in the fault chain and severity of accidents.
The paper discusses heuristic algorithms based on priority rule as the main method for identifying the critical chain in critical chain project management.
The paper proposes a method to identify critical lines in a power grid based on path chains and transmission betweenness. The critical lines are identified by calculating and sorting the transmission betweenness values of each line.
The paper proposes a simulation data oriented approach to identify critical branches in cascading failure propagation using the weighted hypertext-induced topic search (HITS) algorithm.
The paper proposes a simulation data based analytical approach to identify critical transmission branches by sampling cascading failure chains, quantifying interaction strength among branches, constructing a graph, and using the HITS algorithm to rank the vertices.

Related Questions

What is critical evaluation?5 answersCritical evaluation refers to the meticulous assessment of medical literature or financial projects to determine their validity and significance. In the field of obstetrics and gynecology, providers must possess the skills to critically evaluate research articles to incorporate evidence-based practices effectively. Similarly, in the banking sector, mergers and acquisitions require thorough evaluation to address managerial, financial, and cultural challenges, ensuring successful integration and benefits for stakeholders. Moreover, in critical care settings, the evaluation of patients' needs for appropriate levels of care is crucial to prevent adverse outcomes, highlighting the importance of accurate assessment and allocation of resources. Overall, critical evaluation involves a systematic approach to analyzing various aspects of a subject to make informed decisions and recommendations.
Find critical success factors framework?5 answersThe critical success factors framework is essential for various domains, including e-learning systems, startups, and enterprise resource planning (ERP). In the context of e-learning systems in Higher Education (HEs) in Indonesia, the critical success factors include website quality, technology options, top management support, and awareness of e-learning by academics. For startups, a critical success factor framework within the Lifecycle of Startups aids in predicting success, with factors analyzed across different stages of development. In the realm of business intelligence systems (BIS), the importance of critical success factors is acknowledged, although specific factors are not detailed in the provided abstract. Lastly, the ERP critical success factors are categorized into 37 factors, classified based on ERP orientations of implementation and life cycle phases, emphasizing the significance of these factors for successful ERP implementation.
How important is critical path analysis for project management?5 answersCritical Path Analysis is crucial in project management as it helps in identifying the longest sequence of dependent activities, determining project duration, and managing time effectively. By utilizing the Critical Path Method (CPM), deviations in project implementation can be minimized, leading to timely completion and cost control. Moreover, the CPM assists in anticipating and mitigating delays, which is vital for avoiding contract terminations and financial losses. The uncertainty in activity durations underscores the need for advanced techniques like neutrosophic theory to address real-world project complexities, enhancing the accuracy of critical path determination. Overall, critical path analysis is a cornerstone in project management, ensuring efficient planning, monitoring, and successful project completion within set timelines.
How are critical minerals defined?5 answersCritical minerals are defined based on their importance to modern life, their insecure supply, and their role in technologies needed to reduce CO2 emissions and mitigate climate change. The definition of critical minerals varies depending on the parameters and contexts used, leading to multiple classification schemes and variations in terminology. However, there is a consensus among recent comprehensive studies that certain elements are consistently identified as critical, such as the rare-earth elements (REE), platinum-group metals (PGM), indium, tungsten, germanium, cobalt, niobium, tantalum, gallium, and antimony. These elements are considered critical due to their high-risk supply chains and their importance in renewable energy technologies. The designation of critical minerals can also be influenced by evolving perceptions of risk, changing priorities, and similarities in methodologies used in different studies. Overall, critical minerals are defined based on their essentiality, insecure supply, and their role in key technologies and industries.
What is the critical success factors definition?5 answersCritical success factors (CSFs) are variables or elements that can influence the success of a project or business. These factors are identified and managed to increase the likelihood of success. CSFs can vary depending on the context, such as startups, small and medium enterprises (SMEs), information technology (IT) projects, and research and development (R&D) projects. For example, in the context of startups, critical success factors may include innovation, technology, and service. In the context of SMEs, CSFs may include factors like management, decision-making, and artificial intelligence. In IT projects using cloud computing, CSFs may include the team's technical capacity, support from senior management, and contract item management. Overall, CSFs are important variables that need to be considered and addressed to increase the chances of success in various projects and businesses.
How can we determine which alarms are critical?5 answersCritical alarms can be determined by considering various factors. One approach is to use a machine-learning model trained to predict whether a non-critical alarm will develop into a critical alarm within a specific time period. Another method involves utilizing a dynamic alarm prediction algorithm that calculates the occurrence probability of critical alarms by accounting for the local interdependences among alarms using the n-gram model. Additionally, an electronic alarm management system can determine critical events by detecting trigger events, checking for scheduled events closely following the trigger event, and determining if the event exceeds a threshold importance score. Furthermore, improving the effectiveness of critical alarms can be achieved by reducing extraneous information for operators and ensuring clear expectations for response. Finally, in visually complex environments, acoustic parameters such as intensity and rate of change in intensity can be used to convey scalable levels of perceived urgency in auditory alarms.