scholarly journals EE-RJMTFN: A novel manufacturing risk evaluation method for alternative resource selection in cloud manufacturing

2018 ◽  
Vol 27 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Li-Nan Zhu ◽  
Peng-Hang Li ◽  
Xi Yang ◽  
Guo-Jiang Shen ◽  
Yan-Wei Zhao
Keyword(s):  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Numbers ◽  
Cloud Manufacturing ◽  
Smart Manufacturing ◽  
Risk Level ◽  
Triangular Fuzzy Numbers ◽  
Suitable Alternative ◽  
Correlation Degree ◽  
Alternative Resource

Cloud manufacturing is a new service-oriented smart manufacturing paradigm, and it provides a new product development model in which users are enabled to configure, select, and utilize customized manufacturing service on demand. Cloud manufacturing is fully recognized as one of the most important manufacturing modes yet created and has received considerable attention in recent years. In practical scenarios, due to the diversity and uncertainty of manufacturing resource, the cloud manufacturing platform should have the ability of manufacturing risk evaluation to search a suitable alternative resource when certain original manufacturing nodes failed suddenly. Such ability may reduce the probability of the alternative resource failing to the lowest and avoid the manufacturing process/system from complete collapse. It ensures the cloud manufacturing be a reliable, robust and flexible manufacturing system with strong self-repair ability. In this article, a new risk evaluation method termed Extension Evaluation based on Reciprocal Judging Matrix with Triangular Fuzzy Numbers (EE-RJMTFN) is proposed. According to the frame of extension theory, the proposed method provides not only the risk level but also the related correlation degree that describes the deviation from the standard risk level. Moreover, the risk index weight definition based on reciprocal judging matrix with triangular fuzzy numbers can better meet user’s customized demand. The results of a case study illustrate the implementation of the proposed method.

Study of Subway Construction Risk Assessment Based on the Triangular Fuzzy Numbers

2011 ◽  
Vol 243-249 ◽  
pp. 6312-6318
Author(s):  
Ge Liu ◽  
Feng Li
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Evaluation Method ◽  
Fuzzy Numbers ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Triangular Fuzzy Numbers ◽  
Subway Construction ◽  
Membership Matrix

According to the characteristics of subway construction in Tianjin, a risk assessment indicator system has been established in subway construction. On the basis of traditional AHP (Analytic Hierarchy Process), the introduction of the concept of triangular fuzzy numbers evaluates the weight of risk factors in a more accurate and objective way. Adopting a fuzzy comprehensive evaluation mathematical model, by constructing membership matrix, the metro construction is not difficult to quantify the risk factors with the scientific evaluation methods. It can be proved that fuzzy comprehensive evaluation method used in subway construction process is a scientific, effective evaluation method.

Fuzzy Comprehensive Evaluation of Trading Regulatory Risk for a Unified and Interconnected Electricity Market in China

2014 ◽  
Vol 1070-1072 ◽  
pp. 1486-1490
Author(s):  
Yin Fang ◽  
Zhi Qiang Zhao ◽  
Chun Cheng Gao ◽  
Yong Dai ◽  
Shu Hong Shi
Keyword(s):  
Electricity Market ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Fuzzy Inference ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Level ◽  
Risk Levels ◽  
Risk Indices ◽  
Evaluation Models

Trading regulatory risk arises prominently in the preliminary formulation of a unified and interconnected electricity market in China. Risk indices, evaluation models and methods as well as index weights are three important aspects of a comprehensive trading regulatory risk evaluation. In this paper, firstly, on the basis of the current electricity market environment in China, systematic trading regulatory risk indices used to quantify the risk level of the unified and interconnected electricity market are established. Secondly, evaluation models and a evaluation method of the trading regulatory risk are developed on the basis of synthesis of fuzzy inference and analytic hierarchy process (AHP). The fuzzy set approach is employed to identify the membership degree of each index to various risk levels, while the AHP is used to acquire the weights of the proposed trading regulatory risk indices. Finally, a simulation based case study on the trading regulatory risk evaluation is presented to illustrate the effectiveness of the proposed indices and the evaluation method.

Information Processing in HFMFs Based Risk Evaluation for Virtual Enterprise

2014 ◽  
Vol 1021 ◽  
pp. 251-256
Author(s):  
Da Ye Xie ◽  
Xue Jing Wu ◽  
Fu Qiang Lu ◽  
Min Huang
Keyword(s):  
Fuzzy Sets ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Virtual Enterprise ◽  
Risk Level ◽  
Fuzzy Synthetic Evaluation ◽  
Membership Functions ◽  
Fuzzy Membership Functions ◽  
Needed Information ◽  
Synthetic Evaluation

The method of HFMFs (Hypertrapezoidal Fuzzy Membership Functions) is a new mechanism for designing multidimensional fuzzy sets. HFMFs models the correlation that exists between the variables of the state space. Therefore, it is able to describe the problems of fuzzy situation more exactly. As we known, it needs a great many information to evaluate the risk level for VE using fuzzy synthetic evaluation method. However, there are lots of difficulties to get the needed information for VE. Accordingly, the HFMFs method is introduced to estimate the risk level of VE. Considering not only the relations between different fuzzy sets but also the method of HFMFs is able to describe the problems of fuzzy situation more exactly with less information. Consequently, the HFMFs method is more suitable to the virtual enterprise with little historical experiences than the fuzzy synthetic evaluation method. Simulation has shown that this method is a simple and effective risk evaluation method for VE.

scholarly journals HSE Risk Assessment of Major Sewage Transport Tunnel Projects at the Construction Stage Based on the StructuralEntropy Weight Method and the Cloud Model

2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Han Wu ◽  
Sen Liu ◽  
Denghui Liu ◽  
Junwu Wang
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Cloud Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Model ◽  
Risk Indicators ◽  
Risk Level ◽  
Construction Stage ◽  
Correlation Degree ◽  
Weight Method

The health, safety, and environment (HSE) risk assessment of major sewage transport tunnel projects (MSTTPs) is of great significance to guarantee sewage treatment, ecological environment protection, and sustainable development. To accurately evaluate the HSE risk of MSTTPs at the construction stage and effectively deal with their randomness and ambiguity, a risk assessment model based on the structural entropy weight method (SEWM) and the cloud model is put forward in this paper. First, an index system for MSTTPs was constructed via a literature review and expert interviews, and the rough sets method was used to filter the indicators. Then, weights were calculated by the SEWM, which is able to consider both subjective and objective factors of the weight calculation. Finally, to clarify the randomness and ambiguity in the evaluation, the HSE risk level was determined by the cloud similarity. The model was applied to the Donghu Deep Tunnel Project in Wuhan, China, and the results demonstrated that its HSE risk level was medium, which was acceptable. The index related to construction safety had the largest weight. A humid environment, improper power utilization, and sludge and mud pollution were found to be the most influential risk indicators. The risk level could be intuitively and qualitatively judged by the figure evaluation cloud, providing a vivid and rapid evaluation tool for the emergency decision-making of project managers, and the risk level could be quantitatively judged by the calculation of cloud similarity. Moreover, through the comparison with gray correlation degree, set pair analysis, and fuzzy comprehensive evaluation method evaluation results, we prove the scientificity and effectiveness of the proposed model. The research results provide a valuable reference for the project management of MSTTPs at the construction stage.

scholarly journals Environmental risk evaluation of overseas mining investment based on game theory and an extension matter element model

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hujun He ◽  
Rui Xing ◽  
Ke Han ◽  
Junjie Yang
Keyword(s):  
Game Theory ◽  
Environmental Risk ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
The Philippines ◽  
Risk Level ◽  
Classical Domain ◽  
Entropy Weight ◽  
Weighting Method ◽  
Mining Investment

AbstractTaking into account the limitations of the single weighting method presently used for the environmental risk evaluation of overseas mining investment, an improved extension evaluation method based on game theory was developed. The method was then applied to real data from the Philippines and used to establish the congener element object and classical domain of the environmental risk of mining investment in the Philippines, based on extension matter element theory. The optimal index weights, based on a balance of subjective and objective results, were obtained from game theory, the analytic hierarchy process, and entropy weight theory. This enabled calculation of the association function values of evaluation indexes in the Philippines and the environmental risk level of overseas mining investment. Finally, given the weighting and association function values, the environmental risk level of mining investment in the Philippines was determined to be level II (higher risk). These results show that the proposed model is effective for evaluating the environmental risk of overseas mining investment.

Risk evaluation of urban rainwater system waterlogging based on neural network and dynamic hydraulic model

2020 ◽  
Vol 39 (4) ◽  
pp. 5661-5671
Author(s):  
Cai Zhiming ◽  
Li Daming ◽  
Deng Lianbing
Keyword(s):  
Neural Network ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Drainage System ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydraulic Model ◽  
Risk Level ◽  
System Construction

With the rapid development of urban construction and the further improvement of the degree of urbanization, despite the intensification of the drainage system construction, the problem of urban waterlogging is still showing an increasingly significant trend. In this paper, the authors analyze the risk evaluation of urban rainwater system waterlogging based on neural network and dynamic hydraulic model. This article introduces the concept of risk into the study of urban waterlogging problems, combines advanced computer simulation methods to simulate different conditions of rainwater systems, and conducts urban waterlogging risk assessment. Because the phenomenon of urban waterlogging is vague, it is affected by a variety of factors and requires comprehensive evaluation. Therefore, the fuzzy comprehensive evaluation method is very suitable for solving the risk evaluation problem of urban waterlogging. In order to improve the scientificity of drainage and waterlogging prevention planning, sponge cities should gradually establish rainwater impact assessment and waterlogging risk evaluation systems, comprehensively evaluate the current capacity of urban drainage and waterlogging prevention facilities and waterlogging risks, draw a map of urban rainwater and waterlogging risks, and determine the risk level. At the same time, delineate drainage and waterlogging prevention zones and risk management zones to provide effective technical support for the formulation of drainage and storm waterlogging prevention plans and emergency management.

Data Processing in Risk Evaluation of China’s Old Real Estate

2014 ◽  
Vol 685 ◽  
pp. 727-730
Author(s):  
Jian Ping Yang ◽  
Yan Zhang
Keyword(s):  
Real Estate ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Risk Level ◽  
Key Factors ◽  
Specific Data ◽  
The Real Estate ◽  
Real Estate Project ◽  
Potential Risk Factors

In the recent years, the old real estate has a broad development prospects in the real estate due to the aging of the population and the changes of pension. Because the old real estate project is not mature, so there are many potential risk factors in the process of development. This paper uses the risk matrix evaluation method to build old real estate development risk evaluation model. We take some specific data into the model, then can conclude that project risk assessment level through the calculation of the data.We can find out the key factors in the project development and judge the risk level of the whole project.

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