Determining the Location of a Swine Farming Facility Based on Grey Correlation and the TOPSIS Method

2017 ◽  
Vol 60 (4) ◽  
pp. 1281-1289
Author(s):  
Congguo Ma ◽  
Yudong Yang ◽  
Jianguo Wang ◽  
Yajuan Chen ◽  
Daokuan Yang
Keyword(s):  
Decision Model ◽  
Economic Benefits ◽  
Location Decision ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Grey Correlation ◽  
Order Preference ◽  
Grey Correlation Analysis ◽  
Pros And Cons ◽  
Quantitative Indicators

Abstract. Making a multi-attribute decision regarding the location of a swine farming facility is difficult because of the vagueness and uncertainty of the evaluation indicators. In this study, after the main factors affecting swine farming were considered, pork quality and the economic benefits of farming were analyzed. Twenty evaluation indicators were selected to establish an index for determining the location of a swine farming facility based on the analytic hierarchy process (AHP). The values of qualitative and quantitative indicators were normalized to construct a weighted standardized matrix. The application of grey correlation analysis and the technique for order preference by similarity to an ideal solution (TOPSIS) were applied to calculate the overall degree of closeness of each candidate site. The pros and cons of the candidate sites were sorted to construct a location decision model according to the size of the overall degree of closeness. The locations of existing Suqian swine farms were used to validate the location decision method. The result showed that the location decision model could obtain satisfactory results for determining the location of a swine farming facility. Keywords: AHP, Grey correlation, Location decision model, Swine farming location, TOPSIS.

scholarly journals Research on Decision Methods for Technical Solutions Based on Grey-correlation degree to Vapor Recovery of Refined Oil Terminals

2021 ◽  
Vol 252 ◽  
pp. 03054
Author(s):  
Yuanming Jia ◽  
Yiying Zhou ◽  
Hongmei Deng ◽  
Jing li
Keyword(s):  
Decision Model ◽  
Technical Solution ◽  
Refined Oil ◽  
Grey Correlation ◽  
Decision Method ◽  
Correlation Degree ◽  
Decision Methods ◽  
Grey Correlation Analysis ◽  
Grey Correlation Degree ◽  
Technical Solutions

In the process of decision on technical solution to vapor recovery of refined oil terminals, the grey-correlation analysis (GCA) is introduced to optimise technical solutions by building a multi-target decision model and using the sequencing of weighted grey-correlation degree (GCD) of evaluation solution as judgment criteria, to determine the priorities of solutions, and the effectiveness of the decision method is verified by a practical example.

scholarly journals THREE-STAGE LOCATION DECISION MODEL FOR A RETAIL POINT: A MULTICRITERIA AHP APPROACH

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Paulo Rossi Croce ◽  
Lays De Matos Azevedo ◽  
Henrique Rego Monteiro da Hora ◽  
Alline Sardinha Cordeiro Morais
Keyword(s):  
Decision Model ◽  
Complex Problem ◽  
Location Decision ◽  
Coffee Shop ◽  
Analytic Hierarchy ◽  
Work Related ◽  
Three Stages ◽  
Hierarchy Process ◽  
Coffee Shops ◽  
Commercial Center

Coffee participates significantly on society’s life, with its benefits and commercial importance, it is undoubtedly a precious commodity. Coffee shops are not different, it is an ideal place to relax, have a conversation or even do work related chores. This paper uses the Analytic Hierarchy Process to identify the best place to open a new coffee shop on a commercial center, since it is a complex problem that have to cover lots of alternatives, it was divided in three stages. First it is decided whether a store or a kiosk is better within this specific case, then decides the macro location and finally the specific spot. The analysis resulted on a store located afar from the food plaza, where have intense flow of clients passing by. It was possible to solve the doubts appointed at first by the decision-maker, besides it helps to improve the product quality, since the criteria was based thinking on the client’s satisfaction.

scholarly journals Competitiveness Evaluation of Manufacturing Industry based on Weighted Grey Correlation

CONVERTER ◽  
2021 ◽  
pp. 608-617
Author(s):  
Hui Hu
Keyword(s):  
Evaluation System ◽  
Manufacturing Industry ◽  
Developing Regions ◽  
Analytic Hierarchy ◽  
Grey Correlation ◽  
Novel Approach ◽  
Reliable Assessment ◽  
Grey Correlation Analysis ◽  
Industry Competitiveness ◽  
Hierarchy Process

Manufacturing industry is playing an important role in social and economic system,while it is “big but not strong” that is more prominent in developing regions. In order to upgrade manufacturing industry, competitiveness evaluation of manufacturing industry is studied based on weighted grey correlation using analytical hierarchy process and grey correlation analysis.First, statistical data concerned withmanufacturing industry competitiveness are summarized and compared in six developing regions. Then, an evaluation system of manufacturing industrycovering 22 indicators is constructed from economics, scale, R&D and ecology points of view. Furthermore, by using weighted grey correlation which is combined with analytic hierarchy process and grey correlation analysis methods, a simulation approach considering uncertainty on weight and identification coefficient is developed to make a more reliable assessment. Finally, on the basis of the models and approaches, an empirical study on manufacturing industry competitiveness is carried out and simulation results show that this novel approach can provide information and insights for competitiveness evaluation.

scholarly journals Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China

2020 ◽  
Vol 12 (18) ◽  
pp. 7833
Author(s):  
Xiaobing Yu ◽  
Xuejing Wu ◽  
Tongzhao Huo
Keyword(s):  
Optimization Problem ◽  
Economic Benefits ◽  
High Tech ◽  
Analytic Hierarchy ◽  
Technology Park ◽  
East Lake ◽  
Order Preference ◽  
Judgment Matrix ◽  
Economic Boom ◽  
Hierarchy Process

High-tech zones (HTZs), as important economic growth poles, have played a key role in China’s economic boom. A method based on multi-criteria decision-making (MCDM) and particle swarm optimization (PSO) is proposed to evaluate economic benefits of HTZs. MCDM involves analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) as they are easy and simple to calculate. AHP is used to construct judgment matrix. Then, the judgment matrix is converted to a constraint optimization problem. PSO is adopted to optimize the problem and get weights of indicators. TOPSIS is used to make the evaluation. The results from 2012 to 2016 of 105 HTZs are obtained and hierarchical clustering analysis is applied to cluster results. The results have demonstrated that the rankings of Zhongguancun Technology Park and Wuhan East Lake HTZ have always been at the forefront, and the ranking of Kunshan New District has risen rapidly, while Shenyang HTZ has dropped significantly. According to the results, some targeted suggestions have been proposed for the development of HTZs.

scholarly journals The improved multi-criteria decision-making model for multi-objective operation in a complex reservoir system

2019 ◽  
Vol 21 (5) ◽  
pp. 851-874 ◽  
Author(s):  
Zhe Yang ◽  
Kan Yang ◽  
Yufeng Wang ◽  
Lyuwen Su ◽  
Hu Hu
Keyword(s):  
Decision Making ◽  
Reservoir Operation ◽  
Decision Makers ◽  
Optimal Decision ◽  
Multi Criteria Decision Making ◽  
Weighting Method ◽  
Grey Correlation ◽  
Multi Objective ◽  
Order Preference ◽  
Grey Correlation Analysis

Abstract In multi-objective reservoir operation, it is vital for decision-makers to select optimal scheduling schemes through efficient multi-criteria decision-making (MCDM) techniques. However, in the family of MCDM methods, it is difficult for the technique for order preference by similarity to an ideal solution (TOPSIS) to describe grey correlation, thus making decisions with less reliability. To this end, a framework supporting high-quality solutions' acquirement and optimal reservoir operation decision-making is established. The improved multi-objective particle swarm optimization (IMOPSO), a new efficient MCDM model based on TOPSIS and grey correlation analysis (GCA), and combination weighting method based on the minimum deviation (CWMMD) are included in the framework. The non-inferior solution set is efficiently obtained by IMOPSO and optimal decision information is provided for decision-makers using the MCDM model. Moreover, the CWMMD is used to determine weighting information of multiple evaluation indicators. Numerical simulations are conducted to verify the efficiency of the proposed methodology and support decision-making for multi-objective reservoir operation in Hongjiadu and Qingjiang basins. The results indicate that the proposed methodology can provide non-inferior scheduling solutions and decision-making instruction with higher reliability for multi-objective reservoir operation.

scholarly journals Identification and Prioritization of the Factors Affecting the Disaster Preparedness of Schools in Mashhad, Iran

2019 ◽  
pp. 267-274
Keyword(s):  
Elementary Schools ◽  
Disaster Management ◽  
Disaster Preparedness ◽  
Analytic Hierarchy ◽  
Statistical Population ◽  
Factors Affecting ◽  
Building Retrofit ◽  
Management Plans ◽  
Order Preference ◽  
Basic Standards

INTRODUCTION: Iran has always been prone to natural disasters, such as hurricanes and earthquakes, which are followed by heavy financial and bodily harms. In this regard, it is crucial to have disaster management in the schools of Iran to protect the significant number of young people studying in schools. Therefore, school principals must be constantly prepared for disasters and develop disaster management plans. METHODS: The present study aimed to identify and prioritize the factors that affect the natural disaster preparedness of schools using the fuzzy analytic hierarchy process (FAHP) method. Moreover, another objective of this research was to rank the elementary schools in District 6 of Mashhad regarding their disaster preparedness with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS). In this research, first, the criteria and sub-criteria for disaster preparedness were obtained using the Delphi method and according to the opinions of experts. Afterward, the collected criteria and sub-criteria were ranked using the FAHP method. The statistical population of this research consisted of experts, including principals and experts in the studied schools (schools in District 6 of Mashhad) who were familiar with disaster management issues. In total, 10 experts were selected as the sample using the purposive sampling method. FINDINGS: Based on the results, the most important disaster preparedness factors in schools were building retrofit, adherence to basic standards, and committee formation, in that order. CONCLUSION: Finally, the elementary schools of District 6 of Mashhad were ranked in terms of disaster preparedness using the obtained model and the FTOPSIS. This ranking can help the managers in making decisions to prioritize the conduction of building retrofit of the schools in the studied area.

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