Design and Application of Comprehensive Evaluation System of Manufacturing Resource Deployment in Construction Machinery

2013 ◽  
Vol 694-697 ◽  
pp. 2404-2407 ◽  
Author(s):  
Ke Zhou ◽  
Xiao Dong Li

To save manufacturing resources in cloud manufacturing environment, a manufacturing resource deployment evaluation system in construction machinery was designed and applied. At first evaluation indexes of manufacturing resource deployment were analyzed. Then the architecture and function structure were designed, and the database were analyzed. And some technologies adopted in the system were introduced to ensure security, stability, and interoperability of the information. Feasibility and effectiveness of the system were verified by a enterprise application case.

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1340 ◽  
Author(s):  
Yaxue Zuo ◽  
Zhenya Wang

Product evaluation is very important for product improvement and development, and subjective product evaluation determines customer’s evaluation of products to some extent, so the purpose of this study is to establish a reasonable subjective product evaluation system. In this study, we comprehensively determine the evaluation indexes based on Kansei engineering (KE), establish an overall product evaluation system by using analytic hierarchy process (AHP), and establish the subjective product evaluation system by classifying the evaluation indexes in the overall product evaluation system into “objective evaluation index” and “subjective evaluation index”, removing the objective evaluation indexes, and retaining the subjective evaluation indexes. Additionally, we select some modern chairs as experimental samples to verify the reliability and validity of this subjective product evaluation system by means of questionnaires. The experimental results show that, in this subjective product evaluation system, the subjective evaluation of the product is positively correlated with the “favorite” level of the product in comprehensive evaluation, and negatively correlated with the “least favorite” level of the product in comprehensive evaluation, indicating that this subjective product evaluation system realizes a symmetry between subjective product evaluation and comprehensive product evaluation. Therefore, it can be concluded that this subjective product evaluation system based on KE and AHP proposed in this study has reliability and validity, and can be used for product evaluation to judge the popularity of products and enhance the competitiveness of products.


2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The distributed storage of mass sensory data is implemented and a universal distributed computing model of mass sensory data is established based on the characteristics of Hadoop Distributed File System (HDFS).


2021 ◽  
Vol 276 ◽  
pp. 01001
Author(s):  
Haonan Wang ◽  
Fan Yu ◽  
Jun Li

In order to provide a scientific basis for the development of the Yunnan wetland ecosystem, we construct a wetland ecosystem health evaluation system with 15 evaluation indexes selected from three aspects including pressure, status and response based on PSR mathematical model. Analytic Hierarchy Process(AHP) was used to determine the weight of indicators and the Yunnan wetland ecosystem was divided into “the five health status” of “health, sub-health, fragility, illness, and scurviness”, which are used to analyze and evaluate the health status of it through a comprehensive evaluation index. The results show that the comprehensive evaluation index of ecosystem health status of Yunnan wetland is 0.5524 in 2017, locating in the grade of “fragility” and is close to the status of “sub-healthy”; Among the 3 levels of pressure, state, and response, the pressure and state are locating in the grade of “fragility” and the response is close to the status of “health”. Among the 15 evaluation indexes, the rate of change of wetland area, the area of water body, the hydrological regulation and the wetland management level are the most important factors affecting the ecosystem health of Yunnan wetland.


2021 ◽  
Vol 26 (5) ◽  
pp. 699-712
Author(s):  
Yimin Su ◽  
Lin Wang

AbstractAutonomous vehicles must pass effective standard tests to verify their reliability and safety. Accordingly, it is very important to establish a complete scientific test and evaluation system for autonomous vehicles. A comprehensive framework incorporating the design of test scenarios, selection of evaluation indexes, and establishment of an evaluation system is proposed in this paper. The aims of the system are to obtain an objective and quantitative score regarding the intelligence of autonomous vehicles, and to form an automated process in the future development. The proposed framework is built on a simulation platform to ensure the feasibility of the design and implementation of the test scenarios. The design principle for the test scenarios is also presented. To reduce subjective influences, the proposed framework selects objective indexes from four aspects: safety, comfort, driving performance, and standard regulations. The order relation analysis method is adopted to formulate the index weights, and fuzzy comprehensive evaluation is used to quantify the scores. Finally, a numerical example is provided to visually demonstrate the evaluation results for the autonomous vehicles scored by the proposed framework.


2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yuning Wang ◽  
Xiaohua Jin

Purpose City investment companies (CICs) in China, set up and funded by the government, are playing an important role in the construction of urban infrastructure in China. The purpose of this paper is to analyze the structural risk of diversified project financing of CICs and explore its key influencing factors. Design/methodology/approach The best worst method (BWM) is used in this study to empirically analyze and quantitatively study the optimization of the structural risk of diversified financing of CICs. Findings In this study, the structural risk of diversified financing of CICs has been clearly defined, and its key evaluation indexes, including the structure of projects, the structure of financing, asset-liability ratio, earnings before interest and tax margin, the rate of return on capital and the ratio of long-term debt and short-term debt, have been determined. What is more, a comprehensive evaluation system of the structural risk of diversified financing has been established. Originality/value This study has established a comprehensive evaluation system of the structural risk of diversified financing. Based on the validated systematic evaluation, comparison and ranking of the structural risk of diversified financing of CICs by using the BWM, the ranking results can help investors to select the CICs with small structural risk of diversified financing to invest.


2013 ◽  
Vol 313-314 ◽  
pp. 689-692
Author(s):  
Ke Zhou ◽  
Xiao Dong Li

In order to realize precise management and improve quality of construction machinery, a manufacturing process management system of large sized structure components was designed and applied. Firstly manufacturing process of large sized structure components in construction machinery was analyzed. Secondly manufacturing resources of large sized structure components was analyzed. Thirdly the architecture, function structure and database were designed. Then the application steps of the system were discussed. Feasibility and effectiveness of the system were verified by a case of enterprise application.


2014 ◽  
Vol 624 ◽  
pp. 687-693
Author(s):  
Pei Zhi Liu ◽  
Jun Ji ◽  
Wei Yan Chai ◽  
Xiao Chuan Zhao

To realize sharing and synergy between manufacturing resources and manufacturing capability in cloud manufacturing, the manufacturing service model is divided into function model and non-function model. Elements and description of function model is given, and function model determines manufacturing services’ combination planning. Also the composition of non-function model and each part’s weight is presented, and non-function model is the basis to evaluate the priority of manufacturing services. For the case of resource in cloud manufacturing services, sharing ontology and private ontology are researched. Sharing ontology is common description of the whole manufacturing domain, and private ontology is individual description of a specific manufacturing platform. The transformation between sharing ontology and private ontology provides a way for isomerism resources to invoke each other.


2015 ◽  
Vol 740 ◽  
pp. 908-911
Author(s):  
Yi Dan Gao

This dissertation studies the comprehensive evaluation system of freeway and the system includes the evaluation indexes of freeway network and economy. At the same time, on the base of introducing the development of freeway, this dissertation conducts a case study of the freeway to make a preliminary evaluation of development speed, scale and layout of the freeway, and also analyzes the space layout, efficiency of time and space of the traffic flow and saturation degree of sections of freeway. Given that above, this dissertation puts forward initiative measures.


2014 ◽  
Vol 635-637 ◽  
pp. 1861-1865
Author(s):  
Bai Gang Du ◽  
Jun Guo ◽  
Hong Tao Tang ◽  
Xi Xing Li

Aiming at the diversity and heterogeneity of manufacturing resources in cloud manufacturing, the multi-hierarchy relevance model (MHRM) based on category and environmental level was proposed. Moreover, the OWL was used to describe the cloud manufacturing resources. Finally, cloud manufacturing resource ontology instance was built by Protégé.


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