scholarly journals Study on decision making of fresh food supplier selection

2022 ◽  
Vol 355 ◽  
pp. 02034
Author(s):  
Shimin Wang ◽  
Zhimin Du
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Selection Index ◽  
Food Supply Chain ◽  
Fresh Food ◽  
Supply Chain Competition ◽  
Comprehensive Evaluation Model ◽  
Key Factor

As the first process of the supply chain, fresh food supplier is the source of food safety, and also the key factor of the whole fresh food supply chain competition. AHP is used to establish the fresh food supplier selection index system. IT is used to calculate the weight of each evaluation index. Through the establishment of a comprehensive evaluation model, decision maker will comprehensively evaluate the strength of fresh food suppliers.

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.

Supplier Selection Model of College Materials Procurement

2014 ◽  
Vol 596 ◽  
pp. 1056-1059
Author(s):  
Cong Jun Rao ◽  
Lei Yu
Keyword(s):  
Supplier Selection ◽  
Decision Model ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Influence Factors ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Index System ◽  
Supplier Evaluation ◽  
Comprehensive Evaluation Model ◽  
Evaluation Decision

With the vigorous development of the our country higher education enterprise, the demand of materials and equipments also increased year by year in university, so the supplier selection is particularly important. In this paper, we select four prominent influence factors to establish a supplier evaluation index system, and then present a multi-objective fuzzy comprehensive evaluation decision model to select the supplier in the college materials procurement. Further, we highlight the implementation, availability, and feasibility of the fuzzy comprehensive evaluation model using a procurement decision example.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

Fuzzy Comprehensive Evaluation of Human Performance Management

2013 ◽  
Vol 756-759 ◽  
pp. 715-719
Author(s):  
Huan Cheng Zhang ◽  
Ya Feng Yang ◽  
Feng Li ◽  
Li Nan Shi
Keyword(s):  
Performance Management ◽  
Evaluation System ◽  
Human Performance ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Assessment Process ◽  
College Performance ◽  
Performance Evaluation System ◽  
Comprehensive Evaluation Model

In the College, performance evaluation system is directly related to the harmonious development of the school. Taking into account the factors in the evaluation system is fuzzy, so this paper uses fuzzy comprehensive evaluation model. But the model is too subjective, so this paper combines neural network and data envelopment analysis method, which ensures that fuzzy comprehensive evaluation model is reasonable and scientific, and good school development and teacher self-interest. The performance assessment process, not only enables the combination of qualitative and quantitative analysis, but also fair and reasonably reflect the achievements of teachers, while this method is easy to use, wide application, and can be well applied in practice.

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