scholarly journals Influencing Factors and Evaluation Model of Quality Risks in Intelligent Manufacturing Mobile Supply Chain

2020 ◽  
Vol 53 (6) ◽  
pp. 953-961
Author(s):  
Yujie He
Keyword(s):  
Supply Chain ◽  
Influencing Factors ◽  
Time Management ◽  
Evaluation Model ◽  
Intelligent Manufacturing ◽  
Risk Identification ◽  
Evaluation Index System ◽  
Factors Affecting ◽  
Four Dimensions ◽  
Quality Risk

The intelligent manufacturing (IM) supply chain (SC) involves multiple distributed agents. The mobile supply chain (MSC) technology supports the real-time management of key information resources in the supply chain of IM products. This paper explores the influencing factors and evaluation model of quality risks in IM MSC, trying to make realistic evaluation of the actual quality risks of the enterprise. Firstly, the authors constructed a quality risk identification framework for IM MSC, and a hierarchical evaluation index system (EIS) based on the factors affecting quality risks. Besides, the features and attributes of four dimensions of quality risks were specified, and the corresponding intuitive triangular fuzzy numbers were given. Next, an evaluation model was established for the quality risks of IM MSC based on backpropagation neural network (BPNN). After the evaluation of quality risks, a contract model was designed for the quality risk control in IM MSC. The proposed EIS and models were proved effective through experiments.

scholarly journals Evaluation of the Motivation Status of Enterprises and Higher Vocational Schools Participating in Modern Apprenticeship and Its Key Influencing Factors Based on Artificial Neural Network

2021 ◽  
Vol 16 (08) ◽  
pp. 188
Author(s):  
Shu Ji ◽  
Jun Li
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Influencing Factors ◽  
Evaluation Model ◽  
Intelligent Manufacturing ◽  
Evaluation Index System ◽  
Vocational Schools ◽  
Participation Motivation ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

During the reform of talent training mode, higher vocational schools must promote and apply modern apprenticeship to meet the needs of intelligent manufacturing. However, most enterprises and schools differ greatly in the participation enthusiasm and implementation motivation for modern apprenticeship. To enhance the participation motivation, it is critical to correctly evaluate the motivation status of enterprises and schools participating in modern apprenticeship, and analyze its key influencing factors. For this reason, this paper employs the Artificial Neural Network (ANN) to evaluate such motivation status. Firstly, a Modern Apprenticeship Motivation Status (MAMS) evaluation model was established, along with its evaluation index system (EIS). Then, differences in the motivation status were compared from seven aspects. After that, an improved backpropagation (BP) neural network was built to construct and optimize the MAMS prediction model. Finally, the constructed model was proved valid through experiments.

scholarly journals Evaluation Model and Empirical Study on the Competitiveness of the County Silicon Crystal Industry

2019 ◽  
Vol 11 (19) ◽  
pp. 5360
Author(s):  
Pan ◽  
Peng ◽  
Peng ◽  
Zhang ◽  
Zeng ◽  
...  
Keyword(s):  
Crystalline Silicon ◽  
Evaluation Model ◽  
Silicon Crystal ◽  
Evaluation Index System ◽  
Policy Support ◽  
Added Value ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Four Dimensions ◽  
Resource Endowment

The silicon crystal industry is an emerging industry that uses silicon ore to obtain crystalline silicon and silicon micropower through processing. The China silicon crystal industry generally suffers from poor market supervision and low added-value products, which decreases the industry’s competitiveness and affects overall economic development. This study used the SWOT–PEST model to analyze the internal and external factors, constructed the county competitiveness evaluation index system with four dimensions and 20 variables, and used the gray correlation evaluation model to conduct empirical research on data on the competitiveness of the silicon crystal industry in Suichuan and in another three counties. Compared with the industrial competitiveness in the other three counties, the competitiveness in Suichuan County is still relatively low, but it has been increasing rapidly in recent years. The silicon crystal industry in Suichuan County has great advantages, such as resource endowment, energy, and policy support. The main factors affecting the competitiveness of the silicon crystal industry in Suichuan County are the number of brands, the situation of foreign exports, and the output of silicon products. Therefore, Suichuan County should adjust the silicon crystal industry based on these evaluation results to promote the sustainable development of this industry.

scholarly journals Emergency Capacity of Small Towns to Endure Sudden Environmental Pollution Accidents: Construction and Application of an Evaluation Model

2021 ◽  
Vol 13 (10) ◽  
pp. 5511
Author(s):  
Delu Wang ◽  
Yadong Wang
Keyword(s):  
Environmental Pollution ◽  
Evaluation Model ◽  
Empirical Evaluation ◽  
Analytic Network Process ◽  
Small Towns ◽  
Evaluation Index System ◽  
Four Dimensions ◽  
Recovery Capacity ◽  
Network Process ◽  
Response And Recovery

Sudden environmental pollution accidents (SEPAs) in small towns are characterized by high uncertainty, complex evolution, and fast spread speed, and they cause serious harm to a wide geographic range. Thus, SEPAs greatly challenge the emergency management systems of enterprises and governments. Therefore, improving the emergency capacity of small towns (ECST) to withstand SEPAs deserves more attention. In this study, the evolution mechanism of SEPAs is systematically analyzed, revealing the interactions among various situational elements in the SEPA occurrence process. Then, an evaluation index system of the ECST response to SEPAs is constructed based on four dimensions: monitoring and early warning capacity, preparedness and mitigation capacity, response, and recovery capacity. The system includes 68 indicators and covers the key stages of the SEPA life cycle. Finally, an evaluation model of the ECST to SEPAs is proposed based on the analytic network process method, and the small town of Jiangyin City is selected as a case study for empirical evaluation. The proposed evaluation model considers the interactions and interdependent feedback between indexes, effectively improving the accuracy and scientific nature of the evaluation results. Thus, this model provides a solid decision-making reference for governments and a quantitative theoretical basis for the formulation of measures targeted at SEPAs.

scholarly journals Sustainable Supplier Evaluation and Selection of Fresh Agricultural Products Based on IFAHP-TODIM Model

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yupei Du ◽  
Di Zhang ◽  
Yue Zou
Keyword(s):  
Supply Chain ◽  
Evaluation Model ◽  
Multiple Attribute Decision Making ◽  
Agricultural Products ◽  
Evaluation Index System ◽  
Agricultural Product ◽  
Sustainable Supply Chain ◽  
Bottom Line ◽  
Multiple Attribute ◽  
Selection Of

In recent years, increasing pollution of the ecological environment, excessive use of pesticides, and lack of effective management of agricultural product supply chains have made the problem of having a green and safe supply of fresh food increasingly prominent. The sustainability of the fresh agricultural products supply has become an inevitable focus in the development of agricultural enterprises. There are some problems in the supply chain of fresh agricultural products, such as scattered production sites and difficult logistics transportation, which makes it difficult for enterprises to choose reliable suppliers. Supplier selection is a key component of sustainable supply chain management, and the criteria for evaluating the quality of sustainable suppliers are often affected by economic, social, and environmental factors. Therefore, from the perspective of sustainability, based on triple bottom line theory and comprehensively considering the three aspects of society, environment, and economy, this paper proposes a novel evaluation index system for the selection of sustainable suppliers of fresh agricultural products. This paper innovatively integrates the intuition fuzzy analytic hierarchy process and TODIM (an acronym in Portuguese of interactive and multiple attribute decision-making), and these are applied to select sustainable suppliers. Finally, the integration method is applied to the example, and a sensitivity analysis is carried out to verify the validity of the evaluation model.

Study on the Quality Evaluation of Universities’ Network Entrepreneurship Education under E-Commerce Background

2011 ◽  
Vol 204-210 ◽  
pp. 1625-1630
Author(s):  
Yong Yue Zhu ◽  
Yi Nan Su ◽  
Yong Qing Chen
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Entrepreneurship Education ◽  
Active Role ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Analytic Hierarchy ◽  
Four Dimensions ◽  
Entrepreneurial Spirit ◽  
Initial Stage

In the context of e-commerce boom, network entrepreneurship education carried out by some universities in China plays an important and active role in promoting students’ overall quality cultivation, employment and enterprising, etc. However, researches on the network entrepreneurship education are few and at the initial stage. This paper tried to make an evaluation of universities’ network entrepreneurship education quality and established an evaluation index system from such four dimensions as entrepreneurial spirit, entrepreneurial knowledge and skills, entrepreneurial practice, and social effect. It also built an evaluation model by applying the fuzzy analytic hierarchy process. Empirical study shows that the established evaluation index system has high validity and the evaluation model is of accuracy and strong operability.

scholarly journals Quality Risk Evaluation of the Food Supply Chain Using a Fuzzy Comprehensive Evaluation Model and Failure Mode, Effects, and Criticality Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-19
Author(s):  
Libiao Bai ◽  
Chunming Shi ◽  
Yuntao Guo ◽  
Qiang Du ◽  
Youdan Huang
Keyword(s):  
Supply Chain ◽  
Food Quality ◽  
Food Supply ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Risk Level ◽  
Food Supply Chain ◽  
Quality Risk ◽  
Criticality Analysis

Evaluating the quality risk level in the food supply chain can reduce quality information asymmetry and food quality incidents and promote nationally integrated regulations for food quality. In order to evaluate it, a quality risk evaluation indicator system for the food supply chain is constructed based on an extensive literature review in this paper. Furthermore, a mathematical model based on the fuzzy comprehensive evaluation model (FCEM) and failure mode, effects, and criticality analysis (FMECA) for evaluating the quality risk level in the food supply chain is developed. A computational experiment aimed at verifying the effectiveness and feasibility of this proposed model is conducted on the basis of a questionnaire survey. The results suggest that this model can be used as a general guideline to assess the quality risk level in the food supply chain and achieve the most important objective of providing a reference for the public and private sectors when making decisions on food quality management.

scholarly journals Logistics Informatization of Industrial Enterprises Based on Big Data and Its Application in Industrial Supply Chain Management

CONVERTER ◽  
2021 ◽  
pp. 693-701
Author(s):  
Ke Wang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Fuzzy Evaluation ◽  
Digital Information ◽  
Chain Management ◽  
Industrial Enterprises

In the current digital information age, logistics is no longer the isolated transportation and storage of enterprises, nor is it the appendage of enterprise production and sales. This paper studies the logistics informatization of industrial enterprises and its application in industrial supply chain management under the background of big data. By analyzing the formation mechanism and covering modules of logistics informatization, this paper constructs the evaluation index system of logistics enterprise informatization. Based on the fuzzy evaluation method and the specific data of logistics information modernization of Chinese enterprises, this paper gives an application example of the evaluation model. Finally, this paper puts forward a reasonable analysis of the information construction of China's logistics enterprises in the future. The results show that this method can improve the efficiency of logistics informatization and supply chain management of industrial enterprises, and has certain reference significance for the research of logistics intelligence of industrial enterprises.

scholarly journals Sustainable Development of Prefabricated Buildings from the Perspective of Green Supply Chain Management

CONVERTER ◽  
2021 ◽  
pp. 37-44
Author(s):  
Yanli Chen
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Life Cycle ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Chain Structure ◽  
Evaluation Index System ◽  
Green Supply Chain ◽  
Whole Life Cycle ◽  
Prefabricated Building

As a green, environment-friendly, energy-saving and efficient building, prefabricated building has become an important way for the development of building industrialization in China. In this paper, the green supply chain structure model of prefabricated building is constructed from the perspective of green supply chain life cycle, and the evaluation index system of sustainable development of prefabricated building is established. This paper analyzes the whole life of assembly green supply chain and applies hierarchical clustering TOPSIS comprehensive evaluation model to evaluate and identify the key nodes of assembly green supply chain. This provides theoretical support and decision-making basis for green supply chain optimization management of prefabricated buildings. At the same time, this paper puts forward some suggestions for the operation of the key links of the prefabricated green supply chain, and realizes the green sustainable management of the whole life cycle of the prefabricated building supply chain. The test results show that this method can promote the sustainable development of prefabricated buildings.

scholarly journals An Evaluation Model of Green Coal Supplier for Thermal Power Supply Chain Based on PCA-SVM

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Qian Zhang ◽  
Hai Shen ◽  
Yuanyuan Huo
Keyword(s):  
Supply Chain ◽  
Power Supply ◽  
Evaluation Model ◽  
Thermal Power ◽  
Principal Component ◽  
Calorific Value ◽  
Evaluation Index System ◽  
Support Vector ◽  
Supplier Evaluation ◽  
Evaluation Indexes

A thermal power supply chain differs from other supply chains in terms of supplier selection, materials transportation, products marketing, and so on. Therefore, the green coal supplier evaluation model has its own characteristics. Although many methods have been developed to solve the green supplier evaluation problem, little is known about how to evaluate the green coal supplier in the thermal power supply chain. To overcome this drawback, an evaluation index system for the green coal supplier is established, and new indexes such as price based on calorific value, quality indexes based on the designed coal type, and transportation indexes such as transportation carbon footprint and environment indexes are created according to the characteristic of the thermal power supply chain. Then, principal component analysis (PCA) is used to create the main evaluation indexes, and the support vector machine (SVM) is adopted for the evaluation model. Finally, a practical example is applied to show that the model established in this paper outperforms others in evaluation accuracy.

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