scholarly journals Application of Data Mining in Effect Evaluation of Lean Management

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Song Ding ◽  
Jun Li ◽  
Jiye Li
Keyword(s):  
Data Mining ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Enterprise Management ◽  
Data Mining Algorithm ◽  
Lean Management ◽  
Effect Evaluation ◽  
Management Evaluation ◽  
Management Effect

Quantitative evaluation is an important part of enterprise diagnosis, which promotes the scientific and modern management of enterprises. At present, the existing enterprise management evaluation methods cannot complete the mining of enterprise index data, which leads to large error and low significance coefficient in enterprise management evaluation. Therefore, the application of data mining in enterprise lean management effect evaluation is put forward. The process and main functions of data mining are analyzed; data mining algorithm is used to establish the evaluation index system of lean management effect and calculate the index weight. Using the association rules method in data mining, according to the parameters of enterprise lean management level evaluation index and weight value, through the fuzzy set transformation idea, the fuzzy boundary of each index and factor is described by the membership degree, the fuzzy judgment matrix is constructed, and the final evaluation result is obtained by multilayer compound calculation. Experimental results show that this study has a high significance coefficient, and the proposed evaluation method of enterprise lean management effect has ideal accuracy and short time consumption. In practical application, the cumulative contribution rate is higher and has higher stability.

scholarly journals Application of Data Mining in the Evaluation of Enterprise Lean Management Effect

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jinpeng Yang ◽  
Ying Liu
Keyword(s):  
Data Mining ◽  
Evaluation System ◽  
Enterprise Management ◽  
Data Mining Algorithm ◽  
Lean Management ◽  
Modern Enterprise ◽  
Interaction Interface ◽  
Function Module ◽  
Intelligent Data Processing ◽  
Management Effect

In order to improve the effect of enterprise lean management, this study proposes a lean data mining algorithm based on the characteristics of lean data in enterprise management. This study connects data mining and lean production to study the data of enterprise management operation, proposes an intelligent data processing model suitable for modern enterprise management, and constructs the model function module in combination with the enterprise operation management process. Moreover, this study constructs an evaluation system for the effect of enterprise lean management based on data mining. The system provides a human-computer interaction interface, and operators can use various functions and services provided by the system through a visual interface. Through experimental research, it can be known that the enterprise lean effect evaluation system based on data mining proposed in this study can play an important role in enterprise lean management.

scholarly journals A multi-objective evaluation method based on connection numbers theory of hazardous chemical accidents emergency medical rescue capability

2019 ◽  
Vol 27 (3) ◽  
pp. 125-133
Author(s):  
Yapeng Wang ◽  
Jinguo Zhang ◽  
Yundou Wang ◽  
Xiaowen Xiong ◽  
Xin Zhao
Keyword(s):  
Index System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Objective Evaluation ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Chemical Accidents ◽  
Hazardous Chemical ◽  
Emergency Medical ◽  
Partial Connection

Background: An objective, comprehensive and scientific evaluation of emergency medical rescue capability (EMRC) is of great realistic significance in assisting the health administrative department to grasp the overall response capability of all emergency medical rescue teams, enabling each team to have a full understanding of its own strengths and weakness and improve itself accordingly. At present, the research on the evaluation of EMRC in Hazardous Chemicals Accidents (HCA) is not systematic and in-depth, and the existing research results also have some shortcomings, such as, the lack of strong theoretical support for the evaluation index system, the relatively single function of evaluation methods, and so on. Objectives: The objective of this article is to research the evaluation index system and a new evaluation method of EMRC in HCA to overcome the above shortcomings. Methods: It establishes an emergency medical rescue capability model by employing the competency model and then constructs the evaluation index system on the basis of the analysis of all the factors of emergency medical rescue capability in hazardous chemical accidents and sets up an evaluation model based on the theory of connection numbers and partial connection numbers. It determines the competence ranking of several emergency medical rescue teams and the competence state of an individual emergency medical rescue team by calculating the connection principal value, and it also predicts how the emergency medical rescue capability will develop based on the values of partial connection numbers. Results: The example shows that the calculation process of this model is relatively simple, and its assessment results are objective and authentic, and moreover, its multi-functions can make up for the deficiency of the simplified function of other evaluation models. Conclusion: This method is scientific and rational to some extent and can provide reference for evaluation problems of the same kind.

Study on the Comprehensive Assessment of Controlling Efficiency of Engineering Project Based on Matter-Element and GAHP Model

2014 ◽  
Vol 638-640 ◽  
pp. 2446-2449 ◽  
Author(s):  
Bo Liu ◽  
Ju Qin Shen ◽  
Gao Yan Xu ◽  
Liang Tang ◽  
Zi Lin Xu ◽  
...  
Keyword(s):  
Analytical Method ◽  
Index System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Mathematic Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Engineering Project ◽  
Professional Qualification ◽  
Comprehensive Evaluation Method

With the aim to improve the controlling efficiency of engineering project, this essay probes into the comprehensive evaluation of controlling efficiency of engineering project and put forward scientific comprehensive evaluation method to provide support to reasonable comprehensive evaluation of controlling efficiency of engineering project. Complete comprehensive evaluation index system of controlling efficiency of engineering project is constructed from three aspects, i.e. implementation efficiency of construction objective, external coordination efficiency and professional qualification enhancement efficiency; based on matter-element analytical method, mathematic model that could evaluate controlling efficiency of engineering project comprehensively is constructed.

Analysis on Efficiency Evaluation of Regional Energy-Saving and Emission-Reduction Based on DEA Model

2015 ◽  
Vol 1092-1093 ◽  
pp. 1581-1584
Author(s):  
Shuang Wang
Keyword(s):  
Energy Saving ◽  
Index System ◽  
Emission Reduction ◽  
Evaluation Method ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Low Carbon ◽  
Regional Energy ◽  
Energy Evaluation ◽  
And Control

Based on both at home and abroad energy sustainable development ,enterprise energy evaluation index system research and low carbon economic background, this thesis proposed the strategy thought of full process of energy-saving and emission-reduction, selected DEA evaluation method to achieve efficiency monitoring, followed the application steps of DEA evaluation method and built the evaluation index system for energy-saving and emission-reduction which contained inputs and outputs aspects of 8 items specific indicators. The thesis took Dalian as an example to discuss the running situation of energy-saving and emission-reduction strategy within each year and propose that only we strive to achieve industry upgrade in the future, develop circular economy and control the amount of energy input.

A research on the cluster competitiveness evaluation of the Chinese automobile industry based on cuckoo-AHP

2016 ◽  
Vol 10 (4) ◽  
pp. 746-769 ◽  
Author(s):  
Xiujie Wang ◽  
Jian Liu ◽  
Can Ma
Keyword(s):  
Automobile Industry ◽  
Evaluation Method ◽  
Industrial Cluster ◽  
Cuckoo Search ◽  
Evaluation Methods ◽  
Industrial Clusters ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Content Type ◽  
Cluster Development

Purpose The purpose of this study is that on the basis of the competitive edge theory, source mechanism and evaluation approaches of industrial cluster competitiveness, combined with international trends in the automobile industry and the features of Chinese automobile industrial cluster development, an evaluation index system about cluster competitiveness of auto industry is built with comprehensive consideration of factors such as cluster development environment, external scale effect and internal competitiveness from the perspective of value chain of automobile industry. Design/methodology/approach An evaluation index system for automobile industrial cluster competitiveness was realized by integrating current strengths and future growth capacities with multidimensional, dynamic and comprehensive characteristics, which included 3 second-level, 10 third-level and 16 fourth-level indices. In the light of evaluation methods, a group intelligence optimization algorithm – (cuckoo search) – and traditional methods of complex decision-making system – analytic hierarchy process (AHP) – were combined to propose the cuckoo-AHP evaluation method. It was applied for the calculation and optimization of weight values in an automobile industrial cluster competitiveness evaluation index for the purpose of obtaining better scientific and more reliable results. Findings The research might further enrich the evaluation theory of automobile industrial cluster competitiveness and also can be useful for showing how traditional evaluation methods can be combined with intelligent algorithms to carry out better automobile industrial cluster competitiveness evaluations. In addition, studies of channels for kick-starting Chinese auto industrial cluster competitiveness are expected to provide references for how to enhance the cluster competitiveness of the Chinese automobile industry. Practical implications Changsha and Liuzhou, the Guangxi automobile industrial clusters as the two empirical analysis objects selected for this paper, are geographically adjacent to each other. The automobile industries of the two cities are local pillar industries with the strong support of the local government. Both clusters have their own advantages and weak points with different characteristics of cluster development, and they enjoy a representative significance amongst China’s numerous auto industrial clusters that are taking shape. Comparative analysis of both clusters serves as a good reference for the objective evaluation of the competitiveness of Chinese automobile clusters in terms of their real and practical developments and in respect of the success of reasonable scientific and industrial cluster policies. Originality/value Multidimensional, dynamic, integrated evaluation index systems are constructed around automobile industrial cluster competitiveness, which has taken into account developments in current strengths and future growth capacity. The cuckoo-AHP evaluation method has been formed by combining the traditional decision-making method known as AHP with a new meta-heuristic optimization algorithm called “cuckoo search”. Both have been used in evaluations of automobile industrial cluster competitiveness in Liuzhou and Changsha, which will be beneficial for enriching automobile industrial cluster competitiveness evaluation theory and new evaluation methods that will enable better evaluations of automobile industrial cluster competitiveness.

Energy efficiency quantitative analysis method of discrete manufacturing system

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740071 ◽  
Author(s):  
Yan Wang ◽  
Zhicheng Ji
Keyword(s):  
Energy Efficiency ◽  
Index System ◽  
Manufacturing System ◽  
Evaluation Method ◽  
Prediction Method ◽  
Evaluation Index System ◽  
Index Structure ◽  
Evaluation Index ◽  
Discrete Manufacturing System ◽  
Discrete Manufacturing

The difficulty in the energy efficiency analysis of discrete manufacturing system is the lack of evaluation index system. In this paper, a novel evaluation index system with three layers and 10 indexes was presented to analyze the overall energy consumption level of the discrete manufacturing system. Then, with the consideration of the difficulties in directly obtaining machine energy efficiency, a prediction method based on recursive variable forgetting factor identification was put forward to calculate it. Furthermore, a comprehensive quantitative evaluation method of rough set and attribute hierarchical model was designed based on the index structure to evaluate the energy efficiency level. Finally, an experiment was used to illustrate the effectiveness of our evaluation index system and method.

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