Application of Entropy Weight Method and TOPSIS Model in the Cold-Chain Logistics and Distribution Center Location

2012 ◽  
Vol 569 ◽  
pp. 693-696 ◽  
Author(s):  
Zheng Yuan Jia ◽  
Xia Xia Yang
Keyword(s):  
Distribution Center ◽  
Cold Chain ◽  
Entropy Weight ◽  
Related Factors ◽  
Factors Affecting ◽  
Center Location ◽  
Entropy Weight Method ◽  
Quantitative Analysis Method ◽  
Weight Method ◽  
Distribution Center Location

Based on system theory thinking and combing the qualitative and quantitative analysis method, this paper analyze the related factors affecting the cold-chain logistics and distribution center location. By building mathematical model for cold-chain logistics and distribution center location, and analyzing an example application, this paper verifies the rationality and feasibility of the model, and cold-chain logistics resource is configured appropriately.

scholarly journals A Study of Rural Logistics Center Location Based on Intuitionistic Fuzzy TOPSIS

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Yan Zhang ◽  
Yingying Zhang ◽  
Yanfeng Li ◽  
Sen Liu ◽  
Junai Yang
Keyword(s):  
Fuzzy Topsis ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Logistics Center ◽  
Intuitionistic Fuzzy ◽  
Center Location ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Intuitionistic Fuzzy Topsis

In recent years, with the development of the rural e-commerce, the importance of rural logistics has been widely recognized. The selection of rural logistics center is a crucial part in products circulation, because an unreasonable location of rural logistics can cause a circulation problem and product waste. In this paper, we propose a rural logistics center location model based on the theory of intuitionistic fuzzy TOPSIS. First, we integrate the information according to experts’ score based on the evaluation index system. Second, we use the entropy weight method to determine the weight of each evaluation index. Third, we rank the results by using the intuitionistic fuzzy TOPSIS method. Finally, an illustrative example will be used to prove the validity and feasibility of the proposed method.

scholarly journals Evaluation of Mass Transfer Coefficient during Scrap Melting

Metals ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1368
Author(s):  
Ming Gao ◽  
Jin-Tao Gao ◽  
Yan-Ling Zhang
Keyword(s):  
Mass Transfer ◽  
Correlation Analysis ◽  
Forced Convection ◽  
Bath Temperature ◽  
Entropy Weight ◽  
Factors Affecting ◽  
Functional Relationships ◽  
Scrap Melting ◽  
Entropy Weight Method ◽  
Weight Method

Mass transfer is a critical scrap melting step. Herein, mass transfer coefficients (k) during scrap melting were calculated using laboratory-scale experiments. Correlation analysis and the entropy weight method were used to determine the effect of variables on k. The evaluation model under natural and forced convection was established. It was consistent with the experimental results. Under forced convection, at 1573 and 1673 K, when the rotation speed was increased from 141 to 423 r/min, k increased from 7.50 × 10−5 to 1.54 × 10−4 m/s and from 8.42 × 10−5 to 1.72 × 10−4 m/s, respectively. Furthermore, as the bath temperature was increased from 1573 to 1723 K, the k value of a stationary specimen increased from 3.14 × 10−5 to 5.31 × 10−5 m/s, respectively. Correlation analysis and the entropy weight method indicated that the effects of variables on k decreased as follows: molten pool stirring rate > bath temperature > scrap type. Moreover, the explicit functional relationships between k and the factors affecting k under natural and forced convection conditions were established, and the results were consistent with the experimental data. Our results can be used to determine the quantitative relationships between k and the factors affecting k.

A fire risk assessment method based on the combination of quantified safety checklist and structure entropy weight for shopping malls

2021 ◽  
pp. 1748006X2098737
Author(s):  
Quanle Zou ◽  
Tiancheng Zhang ◽  
Wei Liu
Keyword(s):  
Evaluation Method ◽  
Research Result ◽  
Fire Risk ◽  
Living Standard ◽  
Shopping Malls ◽  
Entropy Weight ◽  
Essential Components ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Laws And Regulations

In recent years, various large- and medium-sized shopping malls have been essential components of each city with the speed-up of China’s urbanization process and the improvement of residents’ living standard. A method for evaluating fire risk in shopping malls based on quantified safety checklist and structure entropy weight method was proposed according to related literatures as well as laws and regulations by analyzing the characteristics of fires occurring in shopping malls in recent years. At first, the factors influencing the fire risk in shopping malls were determined by carrying out on-site survey and visiting related organizations to construct an evaluation index system for fires occurring in shopping malls; afterwards, a quantified safety checklist composed of four parts (i.e. safety grade, grade description, scoring criterion and index quantification) was established based on related laws and regulations; subsequently, index weights were determined by utilizing structure entropy weight method, thus putting forward a method for assessing fire risk in shopping malls based on quantified safety checklist and structure entropy weight method. Eventually, the applicability of the evaluation method was validated exampled by Wal-Mart. The research result provides a theoretical basis for further improvement of the theoretical system for fire risk evaluation in shopping malls, and also exerts practical and guidance significance on timeous and effective early warning as well as prevention and control of building fires.

Research on Degree Evaluation of Rural Waste Recycling of Heilongjiang Province Based on the Integrated Evaluation Method

2011 ◽  
Vol 347-353 ◽  
pp. 1735-1739
Author(s):  
Jie Shang ◽  
Yuan Yao
Keyword(s):  
Index System ◽  
Agricultural Waste ◽  
Waste Recycling ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Heilongjiang Province ◽  
Entropy Weight ◽  
Development Direction ◽  
Entropy Weight Method ◽  
Weight Method

This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.,This paper has analyzed the degree of agricultural waste recycling utilization, and problems existing in current rural calculated degree of waste recycling in Heilongjiang province, using AHP and entropy weight method integrated and construct the rural waste recycling system, and points out that the evaluation index system of agricultural waste recycling after the development direction.

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