Credibility Measure and Assessment Method of Equipment Severity to Voltage Sag

2012 ◽  
Vol 605-607 ◽  
pp. 788-792
Author(s):  
Xu Na Liu ◽  
Ying Wang ◽  
Xian Yong Xiao
Keyword(s):  
Probability Measure ◽  
Assessment Method ◽  
Assessment Model ◽  
Credibility Measure ◽  
Voltage Sag ◽  
Possibility Measure ◽  
Classical Probability ◽  
Fitting Method ◽  
Assessment Measure ◽  
The Status

In order to accurately describe the equipment’ severity caused by voltage sag, the credibility measure which meets the conditions of non-additive is proposed based on their physical properties of responses. This assessment measure can avoid the deficiencies that classical probability measure needs a large number of samples and the non-duality of fuzzy measure. The membership functions of sensitive equipment voltage tolerance capability that corresponding to the characteristic quantities in the status uncertain area was determined by fuzzy statistical method and polynomial fitting method. Then the joint credibility distribution function was deduced based on uncertainty theory. Hence, the assessment model of severity of equipment failure is constructed. Based on practical samples, the PCs were simulated using the proposed method. Comparing the simulation results with methods using classical probability measure and possibility measure prove that the proposed method is proper and credible and can reflect practical condition more objectively.

Credibilistic Clustering: The Model and Algorithms

2015 ◽  
Vol 23 (04) ◽  
pp. 545-564 ◽  
Author(s):  
Jian Zhou ◽  
Qina Wang ◽  
C.-C. Hung ◽  
Xiajie Yi
Keyword(s):  
Probability Measure ◽  
Set Theory ◽  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
Credibility Measure ◽  
Data Sets ◽  
Possibility Measure ◽  
Possibilistic Clustering ◽  
Intuitive Concept ◽  
Robust To Noise

Fuzzy clustering is a widely used approach for data classification by using the fuzzy set theory. The probability measure and the possibility measure are two popular measures which have been used in the fuzzy [Formula: see text]-means algorithm (FCM) and the possibilistic clustering algorithms (PCAs), respectively. However, the numerical experiments revealed that FCM and its derivatives lack the intuitive concept of degree of belongingness, and PCAs suffer from the “coincident problem” and cannot provide very stable results for some data sets. In this study, we propose a new clustering algorithm, called the credibilistic clustering algorithm (CCA), based on the credibility measure. The credibility measure provides some unique properties which can solve the “coincident problem” and noise issue compared with the probability measure and possibility measure. Based on some randomly generated data sets, experimental results compared with FCM and PCA show that CCA can deal with the “coincident problem” with good clustering results, and it is more robust to noise than PCA.

Inventing a business-ERP alignment assessment model through three Japanese companies

2019 ◽  
Vol 25 (4) ◽  
pp. 738-756
Author(s):  
Tingting Huang ◽  
Akinori Yokota
Keyword(s):  
Enterprise Resource Planning ◽  
Current System ◽  
Resource Planning ◽  
Assessment Method ◽  
Assessment Model ◽  
Erp Systems ◽  
New Approach ◽  
Content Type ◽  
The Status ◽  
Japanese Companies

Purpose The purpose of this paper is to present a new approach for assessing the status of alignment between organizations and enterprise resource planning (ERP) systems—more friendly and quantitatively. Design/methodology/approach An issue-based ERP assessment model is invented based on thorough literature review and empirical data from three Japanese companies. A modified Cartesian coordinate system is adopted to link the alignment criteria and the system maintenance activities. Findings The findings prove the feasibility of the model and reveal the variation of ERP alignment in a visualized way. It is also indicated that the utilization of the issue-based ERP assessment model is a more convenient method to help the organizations to pinpoint the status of the ERP alignment. Originality/value This is the first approach to measuring the business–information technology alignment visually. One major implication of this research is to provide an easy assessment method which may encourage organizations to do evaluations regularly. The information accumulated by regular assessment can further pinpoint the perfect time to make decisions and provide essential evidence for decision makings, such as when to expand or retire the current system. From the academic perspective, this model provides a new approach to evaluating the assimilation of organizations and ERP systems.

Voltage Sag Evaluation Method of a Real Distribution System Based on a Connection Number Model

2013 ◽  
Vol 341-342 ◽  
pp. 1363-1366
Author(s):  
Lang Bai ◽  
Le Yu
Keyword(s):  
Distribution System ◽  
Evaluation Method ◽  
Assessment Model ◽  
Voltage Sag ◽  
Voltage Sags ◽  
Connection Number ◽  
Reliability Parameters ◽  
Real Distribution ◽  
System Components ◽  
Simulation Results

The evaluation results of power system are greatly influenced by the reliability parameters and uncertainty of system components. The connection number assessment model and an approach have been presented to assess the occurrence frequency due to voltage sags. The proposed method had been applied to a real distribution system. Compared with the interval number method, the simulation results have shown that this method is simple and flexible.

Formation of a risk assessment model when selecting a foreign supplier under a foreign trade contract

2020 ◽  
Vol 26 (10) ◽  
pp. 82-87
Author(s):  
Lin Peng ◽  
Keyword(s):  
Supply Chain ◽  
Block Diagram ◽  
Operating Conditions ◽  
Assessment Model ◽  
Supply Chain Risk Management ◽  
Sources Of Information ◽  
Supply Chain Risk ◽  
Product Lines ◽  
Foreign Supplier ◽  
The Status

Many businesses that work with a large number of product lines face the problem of choosing a supplier of goods or services. The problem of finding suppliers is faced by most businesses that do business and are looking for new ways to optimize costs. Enterprises need to periodically search for suppliers, and this is much more difficult for them due to lack of experience, especially in relations with foreign suppliers. Procurement planning is carried out by selecting suppliers who must meet previously established criteria set by the company’s standards and legislation. The search and analysis of suppliers should be carried out systematically using all possible sources of information. At the present stage, conservative methods of searching, analyzing and selecting suppliers are being improved and supplemented with new forms and methods, but none of the existing methods of selecting a supplier properly takes into account the current operating conditions. Therefore, supply chain management is particularly relevant and requires improvement. The article suggests a model that allows identifying potentially unscrupulous suppliers even before the contract is executed in the supply chain and using management. The article presents a block diagram of the supply chain risk management model. The model specifies a key condition aimed at combining the work of all departments in order to increase the transparency of procedures. At the same time, the model will reduce the risks of the supply chain and improve the process of making logistics decisions within 3 main blocks. Information about the entire lifecycle of equipment, media, and items is stored in the supply chain information system, reflecting the status and attributes of all aspects and providing a variety of data support for decision - making

scholarly journals Durability Assessment of Lightweight Cellular Concrete in Subgrade by the Method of Analytic Hierarchy Process Combined with Fuzzy Comprehensive Evaluation

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xin Liu ◽  
Chengwei Ni ◽  
Liye Zhang ◽  
Ke Sheng ◽  
Baoning Hong
Keyword(s):  
Analytic Hierarchy Process ◽  
Influencing Factors ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Method ◽  
Assessment Model ◽  
Analytic Hierarchy ◽  
Durability Assessment ◽  
Hierarchy Process ◽  
Cellular Concrete

The durability of lightweight cellular concrete (LCC) and the corresponding assessment method are studied in this paper to improve the utilization of LCC in subgrade construction engineering. The durability assessment method is established by combining the analytic hierarchy process (AHP) with fuzzy comprehensive evaluation (FCE). The main assessment processes are as follows. Firstly, based on the physical and mechanical properties of LCC, the influencing factors are selected in terms of preliminary design, construction technology, and operation and management after completion of construction. The grading standard of influencing factors is established as well. Secondly, a multilevel assessment model with targets level, criteria level, and indexes level is established. AHP determines the effective weight of the lower level relative to the upper level. The consistency check of the judgment matrix is conducted to prove the rationality of the distribution of influencing factors’ effect weight. Thirdly, the membership function which is suitable for each influencing factor is built to calculate the membership degree. Besides, the practicality and reliability of AHP combined with FCE are demonstrated through a practical engineering case, which is the third section of a highway in Guangdong Province, China.

scholarly journals Comprehensive Researcher Achievement Model (CRAM): a framework for measuring researcher achievement, impact and influence derived from a systematic literature review of metrics and models

BMJ Open ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. e025320 ◽  
Author(s):  
Jeffrey Braithwaite ◽  
Jessica Herkes ◽  
Kate Churruca ◽  
Janet C Long ◽  
Chiara Pomare ◽  
...  
Keyword(s):  
Full Text ◽  
English Language ◽  
Data Extraction ◽  
Meta Analysis ◽  
Assessment Method ◽  
Assessment Model ◽  
Eligibility Criteria ◽  
Promotion And Tenure ◽  
Full Text Review ◽  
Q Statistic

ObjectivesEffective researcher assessment is key to decisions about funding allocations, promotion and tenure. We aimed to identify what is known about methods for assessing researcher achievements, leading to a new composite assessment model.DesignWe systematically reviewed the literature via the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols framework.Data sourcesAll Web of Science databases (including Core Collection, MEDLINE and BIOSIS Citation Index) to the end of 2017.Eligibility criteria(1) English language, (2) published in the last 10 years (2007–2017), (3) full text was available and (4) the article discussed an approach to the assessment of an individual researcher’s achievements.Data extraction and synthesisArticles were allocated among four pairs of reviewers for screening, with each pair randomly assigned 5% of their allocation to review concurrently against inclusion criteria. Inter-rater reliability was assessed using Cohen’s Kappa (ĸ). The ĸ statistic showed agreement ranging from moderate to almost perfect (0.4848–0.9039). Following screening, selected articles underwent full-text review and bias was assessed.ResultsFour hundred and seventy-eight articles were included in the final review. Established approaches developed prior to our inclusion period (eg, citations and outputs, h-index and journal impact factor) remained dominant in the literature and in practice. New bibliometric methods and models emerged in the last 10 years including: measures based on PageRank algorithms or ‘altmetric’ data, methods to apply peer judgement and techniques to assign values to publication quantity and quality. Each assessment method tended to prioritise certain aspects of achievement over others.ConclusionsAll metrics and models focus on an element or elements at the expense of others. A new composite design, the Comprehensive Researcher Achievement Model (CRAM), is presented, which supersedes past anachronistic models. The CRAM is modifiable to a range of applications.

Healthcare quality maturity assessment model based on quality drivers

2016 ◽  
Vol 29 (3) ◽  
Author(s):  
Nadia Ramadan ◽  
Mazen Arafeh
Keyword(s):  
Design Methodology ◽  
Assessment Tool ◽  
Healthcare Providers ◽  
Assessment Model ◽  
Maturity Level ◽  
Healthcare Organizations ◽  
Quality Management Systems ◽  
Proposed Model ◽  
The Status ◽  
Practical Implications

Purpose Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The proposed model serves as a useful quantitative quality maturity level assessment tool for healthcare organizations. Design/methodology/approach The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation. Findings Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress. Practical implications The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity level risk meter. The tool has been applied successfully to local hospitals. Originality/value The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.

Research on Risk Assessment Method and System Development of Small Ammonia Refrigeration Units

2019 ◽  
Author(s):  
Xiang Li ◽  
Weihua Wang ◽  
Weike Jing ◽  
Jin Shi ◽  
Fakun Zhuang
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
System Development ◽  
Correction Method ◽  
Assessment Method ◽  
Scientific Basis ◽  
Assessment System ◽  
Assessment Model ◽  
Mitigation Measures ◽  
Risk Assessment Method

Abstract In recent years, ammonia leakage accidents occur frequently, which causes a great concern in China. Based on traditional risk analysis methods and the equipment characteristics, a risk evaluation method for small ammonia refrigeration units is proposed. The method includes a risk assessment model based on area division, a failure probability assessment method based on expert scoring system, a failure consequence assessment method based on regional population density and consequence mitigation measures, and a HAZOP risk correction method. Based on the proposed method, a risk assessment system of small ammonia refrigeration units is developed. This risk assessment method and system will provide a scientific basis to carry out the cold storage management in China.

scholarly journals Development of a Decision Support Model Based on Machine Learning for Applying Greenhouse Gas Reduction Technology

2020 ◽  
Vol 12 (9) ◽  
pp. 3582
Author(s):  
Sungwoo Lee ◽  
Sungho Tae
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Greenhouse Gas ◽  
Ghg Emissions ◽  
Assessment Method ◽  
Economic Benefits ◽  
Environmental Benefits ◽  
Assessment Model ◽  
Decision Support Model ◽  
Ghg Reduction

Multiple nations have implemented policies for greenhouse gas (GHG) reduction since the 21st Conference of Parties (COP 21) at the United Nations Framework Convention on Climate Change (UNFCCC) in 2015. In this convention, participants voluntarily agreed to a new climate regime that aimed to decrease GHG emissions. Subsequently, a reduction in GHG emissions with specific reduction technologies (renewable energy) to decrease energy consumption has become a necessity and not a choice. With the launch of the Korean Emissions Trading Scheme (K-ETS) in 2015, Korea has certified and financed GHG reduction projects to decrease emissions. To help the user make informed decisions for economic and environmental benefits from the use of renewable energy, an assessment model was developed. This study establishes a simple assessment method (SAM), an assessment database (DB) of 1199 GHG reduction technologies implemented in Korea, and a machine learning-based GHG reduction technology assessment model (GRTM). Additionally, we make suggestions on how to evaluate economic benefits, which can be obtained in conjunction with the environmental benefits of GHG reduction technology. Finally, we validate the applicability of the assessment model on a public building in Korea.

scholarly journals Benthic Diatom Composition in Coastal Zone of Black Sea, Sasyk Reservoir (Ukraine)

Diversity ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 458
Author(s):  
Olena P. Bilous ◽  
Agata Z. Wojtal ◽  
Natalia O. Ivanova ◽  
Petro M. Tsarenko ◽  
Olga V. Burova ◽  
...  
Keyword(s):  
Coastal Zone ◽  
Black Sea ◽  
Ecological Status ◽  
Assessment Method ◽  
Benthic Diatoms ◽  
The Black Sea ◽  
Salinity Changes ◽  
The Status ◽  
Freshwater Reservoir ◽  
First Time

The Sasyk Reservoir is one of the largest seaside reservoirs in Ukraine, artificially maintained as a freshwater area including various floodplain areas. The Reservoir originated from an estuary to now being an almost freshwater reservoir. The diatoms (Bacillariophyta) in benthos were investigated for analyzing the coastal zone diversity of the Black Sea inside the borders of Ukraine. The indicated diatom composition was formed by 97 species (100 infraspecies taxa). Some rare marine and freshwater taxa were noted, as well as three species reported in Ukrainian territory for the first time (Navicula vandamii Schoeman et R.E.M. Archibald, Sellaphora difficillima (Hustedt) C.E. Wetzel, L. Ector et D.G. Mann, and Mastogloia laterostrata Hustedt). The bioindicative characteristics of the diatom composition testified to the freshwater condition of the reservoir. Changes to the salinity level of the Sasyk Reservoir were exposed due to the composition of benthic diatoms. The presence of mesohalobous species (7 taxa) acknowledges conditions that are typical for estuaries and mouths of rivers and reveals the salinity changes in the Sasyk Reservoir. Likewise, the prevailing number of oligohalobous diatoms (61 taxa) reveal presence of freshwater in the reservoir. The implementation of the Polish phytobenthos lake assessment method for the nearby Ukrainian Reservoir was conducted for the first time. The multimetric Diatom Index for lake values varied from 0.39 to 0.76, and revealed alterations in the status over the Sasyk sites, ranging from good, moderate, to poor. Thus, it may be concluded that the current ecological status relating to the composition of benthic diatoms of the reservoir located in the coastal zone of the Black Sea is evaluated as having a moderate status class with some exceptions.

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