Selection Index System Research Articles

Research on Supplier Selection of Fresh Food Supermarkets under New Retail Mode

Under the new retail mode, the market competition in the fresh produce industry is fierce. Optimizing the procurement of fresh agricultural products and selecting high-quality suppliers are conducive to reducing costs and enhancing market competitiveness of fresh supermarkets under the new retail mode. This paper constructs a supplier selection index system for fresh produce supermarkets, uses hierarchical analysis and entropy weight method to determine the comprehensive weight of the indexes, and establishes the TOPSIS supplier selection model with gray correlation improvement. And the model is applied to A fresh food supermarket under the new retail mode, and the best supplier is selected for this supermarket from four strawberry suppliers.

Research on key influencing factors for site selection of DC microgrid-based hydrogen-electric hybrid refueling stations

In the context of the dual-carbon economy, HRSs play a critical role as an essential intermediary hub for upstream hydrogen production, midstream hydrogen storage and transportation, and downstream vehicle fueling. The use of renewable energy sources for hydrogen production and refueling has become a topic of great interest, and direct current (DC) microgrid-based HRSs are a promising model. However, there is a lack of research on the key influencing factors for the site selection of electric-hydrogen hybrid refueling stations. To address this research gap, this study reviewed the scientific literature on refueling station site selection and identified 34 site selection factors based on the characteristics of DC microgrid-based electric-hydrogen hybrid refueling stations. The importance of these factors was evaluated through a combination of fuzzy Delphi and LBWA models, and an optimized site selection evaluation index system was constructed. The results showed that hydrogen storage technology, wind speed, hydrogen production technology, lighting conditions, spatial safety, profit risk, and leakage risk are the key factors that influence site selection decisions. After eliminating nine non-important indicators, a site selection index system with 1-4-25 layers factors was established. The proposed key factors and index system have important guiding and reference significance for governments and investors in making site selection decisions and managing electric-hydrogen hybrid refueling station projects.

Electric Vehicle Solar Charging Station Siting Study Based on GIS and Multi-Criteria Decision-Making: A Case Study of China

Electric vehicles (EVs) are one of the most practical solutions to the energy issue and environmental pollution. In recent years, EVs have developed rapidly, but are still limited by charging problems. The emergence of photovoltaic charging stations can solve the environmental pollution and charging problems. The location of charging stations is critical in the life cycle of electric vehicles. In this paper, a multiple-criteria decision-making (MCDM) method based on Geographic Information Technology (GIS) for optimal site selection is proposed. First, based on literature reading and expert interviews, a site selection index system was identified, including four aspects with a total of ten sub-criteria. Secondly, a spatial database of relevant evaluation criteria was established using GIS, and preliminary analysis was conducted. Then, the fuzzy DEMATEL (Decision-Making Trial and Evaluation Laboratory method) is applied for assigning the criteria weights. Then, potential sites are ranked using the fuzzy MULTIMOORA (Multi-Objective Optimization on the basis of Ratio Analysis) method. Then, the model was validated by siting the electric vehicle PV charging stations in Qingdao, and eight stations were identified in the preliminary selection stage, and the most suitable locations were finally selected through the MCDM stage. Finally, the reliability and validity of the model were further verified by comparative analysis and dual sensitivity analysis.

Main Factors on Effect of Precise Measurement and Precise Tamping Based on BP Neural Network

With the continuous development of precise measurement and precise tamping (PMPT) technology on Chinese railway conventional speed lines, the efficiency of machinery tamping operation and the quality of the track have been effectively improved. A variety of PMPT modes have been tried in the field operation, however there are some differences in the operation effect. The quality of the tamping operation is affected by multiple factors. In order to identify the key factors affecting the operation quality and to further improve the tamping operation effect, this paper establishes both the database of PMPT operation modes and the selection index system for evaluating the operation effect. Based on mega multi-source heterogeneous data and track geometry inspection data, this paper adopts the Back Propagation Neural Network (BPNN) prognosis model to quantify and sort the main factors affecting the effect of PMPT. The research results show that the initial quality of the track before tamping, whether the stabilizing operation or the tamping modes have great influence weights. It can scientifically guide the field operation to control the key factors and put forward some practical suggestions for promoting the field application of PMPT and the optimization of operation modes on the conventional speed lines.

Regret Theory and Fuzzy-DEMATEL-Based Model for Construction Program Manager Selection in China

During the drastic changing process of the construction industry in China, construction program management has been given significant attention. Due to the complexity of construction programs, selecting competent managers is crucially important to its success. Therefore, based on a comprehensive literature review, this paper combines regret theory and the Fuzzy-DEMATEL method to develop a multi-attribute model for construction program manager selection. Firstly, six competence elements are extracted, then the manager selection and evaluation index system are constructed. Secondly, the regret theory is used to simulate the psychological characteristics of the decision makers, combined with Fuzzy-DEMATEL, the comprehensive weights for each element are calculated. Lastly, all alternatives for the selection are sorted and the competent ones are selected. A case study is provided to exam the effectiveness of the developed model. Results shows that the proposed model adopted multi-attribute evaluation and group decision making and took into account the psychological behavior of decision makers as well as influences from the relationships between different attributes. Such results indicate that the proposed model is able to provide more comprehensive and scientific construction program manager selections, which can further improve the management of construction programs.

Evaluation and Selection of Cement Suppliers under the Background of New and Old Driving Energy Conversion in China

Accompanied by the concept of supply-side structural reform and conversion of new and old driving energy to create a new round of economic development in China, cement supplier evaluation and selection are increasingly crucial for concrete production plants, ensuring not only raw material supply with high quality and at a reasonable price but also sustainable and long-term cooperation with suppliers. Given the limitations of the existing approaches, this study proposes a cement supplier evaluation and selection framework based on the combination of the improved FAHP-CRITIC method and VIKOR method. We first develop a cement supplier evaluation and selection index system under the background of new and old driving energy conversion, including eight first-level indicators and twenty-one second-level indicators. The proposed model then uses triangular fuzzy numbers AHP (TFN-AHP) and the improved CRITIC method to calculate subjective and objective weights by replacing the coefficient of variation with standard deviation, uses the ideal solution-based method to determine their combination weights, and combines the VIKOR method to calculate the comprehensive evaluation values of candidate cement suppliers. After that, the proposed approach is applied to evaluate and select ten cement suppliers for concrete production plants, and the results are compared and analyzed with those using the traditional method. The results of the comparison show that the proposed strategy can be scientific and reliable, helping managers to make the right decision under the background of new and old driving energy conversion in China.

The research on priority selection of e-commerce agent operation service providers based on Fuzzy-DEMATEL, ANP combination weighting and TOPSIS analysis

In view of the comprehensive evaluation and selection of e-commerce agent service provider, this paper discusses the construction of e-commerce agent service provider selection index system. Fuzzy-Decision-Making Trial and Evaluation Laboratory (Fuzzy-DEMATEL) is selected to analyze the logical relationship and influence relationship between the selection indexes of e-commerce representative operation service providers, and the importance and relevance Analytic Network Process (ANP) network was constructed. The combined weighting method of Fuzzy-Dematel and ANP is used to calculate the mixed weight, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to complete the comprehensive ranking and selection of alternatives. Finally, the empirical analysis of M company, a toy manufacturing enterprise in central China, choosing e-commerce agent operation service provider is carried out by using the established evaluation method, and the results show that the evaluation method is effective and feasible.

AG600 Amphibious Aircraft Selection Model Based on Improved Fuzzy Evaluation Algorithm

Aiming at the selection research gap of AG600 amphibious aircraft for salvage of life at sea, the selection index system of AG600 has been established, and an interval intuitionistic fuzzy selection decision model based on fuzzy entropy and score function is constructed. An evaluation index system with 8 indexes was determined based on the rules of the applicability, safety, and accessibility by questionnaire and statistical analysis. Different from the traditional method of determining the fuzzy number of each index solely by experts' scoring, this paper establishes a 5-grade fuzzy evaluation grade and index membership function, and the interval intuitionistic fuzzy number of the index is determined by combining subjective and objective methods. Fuzzy entropy and score function are used to calculate the weights of each index and AG600 selection score for different accidents, so as to obtain the matching degree of AG600 selection in marine life accidents more scientifically and reasonably. Finally, the effectiveness of the proposed model is demonstrated by a practical case.

Site selection framework of rail transit photovoltaic power station under interval-valued Pythagorean fuzzy environment

Different from centralized and large-scale photovoltaic power station, the sites selection of rail transit photovoltaic power station (RTPPS) concerns more on sustainability rather than profit and there is a lack of selection index system for RTPPS sites selection. Besides that, the decision model cannot deal with the uncertainty, the independence assumption problem and the solving problem of multi-objective programming (MOP) model in scenarios with more goals. The contributions of this paper are as follows: ① a selection index system of RTPPS site selection is established based on RTPPS’s characteristics to provide the scientific decision-making direction; ② the interval-valued Pythagorean fuzzy number (IVPFN) is used to deal with uncertainty in decision information; ③ the fuzzy measure were used to avoid the assumption of independence, which make the decision model is more in line with the reality; ④ the IVPFN-TOPSIS was used to decrease the number of goals, so the MOP model can be solved in scenarios with more goals. The effectiveness of this framework is proved by a China case study. According to the sensitivity analysis and comparative analysis, the decision result calculated by the proposed decision model has good robustness and the site selection framework can better serve the enterprise.

Study on decision making of fresh food supplier selection

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.

The influence of X fuzzy mathematical method on basketball tactics scoring

Abstract In the selection of basketball players, the determination of the selection index system and the weight of each index is an important prerequisite for whether the selection is scientific or not. Only when the index system is determined and the importance of each index is sorted reasonably can it be guaranteed that the basketball tactics scoring work went smoothly. This research introduces a method of X fuzzy mathematics, called analytic hierarchy process, or AHP for short. The AHP method can be used in regional planning, resource allocation, program selection, policy analysis, conflict analysis, forecast estimation, decision research, etc. The AHP method schematises the thinking process of the human brain analysis program, which can simply, comprehensively, effectively and clearly deal with complex problems restricted by many factors; it is also a quantitative tool that can be used for the measurement of the sports evaluation system.

Economic evaluation of rock oil project based on AHP algorithm

In order to reveal the characteristics of oil shale, the distribution of oil shale and the potential of resources in Jianchang Basin. The selection evaluation model and index system of oil shale development are established in this process. The weight of each layer evaluation index is determined, and a unified scoring system is established to obtain the index value. The weighted summation obtains the comprehensive score of each target area. The results show that the most important factors affecting the assessment of oil shale development are the geological and resource conditions of oil shale ore spots and the key parameters are oil shale oil content, ore body depth, and shale oil resources. By using AHP to evaluate 5 oil shale exploration areas in Jianchang Basin, it can be determined that Daqingshan and Chaoyang Qidaoquanzi exploration areas in Aohan Banner have the highest score, the best exploration prospect, the stable profitability, and the strong profitability of the project. Strong ability to resist risks.

Multiple Attribute Decision-Making Model for Supplier Selection in Service-Oriented Manufacturing Paradigm

This paper proposes a multiattribute decision-making model for supplier selection under the service-oriented manufacturing, which can be used to effectively evaluate each candidate supplier. The supplier selection index system under the service-oriented manufacturing is proposed, and the interval evaluation matrix is established. In view of the mixed attribute of evaluation index, we construct a method that converts mixed attribute value to interval number. In order to avoid the subjectivity of the weight and make alternatives be provided with more discrimination, we use a combination model based on the deviation function model and the interval relative entropy ranking method to evaluate each candidate supplier. Finally, an application example is given to verify the correctness and practicability of the proposed decision-making model.

Selection and evaluation of polar cruise fin stabilizer based on combination weighting-TOPSIS method

Objectives Many factors should be taken into consideration in selection of fin stabilizer for polar cruise, such as environmental adaptation and device performance, the optimal fin stabilizer was difficult to choose by subjective judgment. Aiming at the selection of fin stabilizers for polar cruise, a comprehensive selection and evaluation method based on combination weighting-TOPSIS method was proposed. Methods The selection principle of fin stabilizer for 8 035 gross ton polar cruise was confirmed by PC6 rules for polar cruise, and the initial area of fin stabilizer was calculated by experimental mathematical model. Three design schemes were put forward for polar cruise fin stabilizer. Selection and evaluation index system was built by consulting experts, which include 5 primary indexes and 14 secondary indexes. The weights of the indexes were determined by analytic hierarchy process (AHP) and entropy weight method(EWM); technique for order preference by similarity to ideal solution(TOPSIS) was introduced to calculate the degree of closeness between the alternative and the ideal solution. Results According to the ranking results, the design scheme 1 was selected as the optimal fin stabilizer meeting the decision maker's requirement. Conclusions This method has some guiding significance for the selection of fin stabilizer for polar cruise and the builder and decision make's blindness was reduced.

Supplier Selection and Evaluation of Fresh Supermarket Based on AHP

With the change of consumption concept, fresh food is the necessity of people’s life. The main value of fresh food is reflected in the freshness of products and the reliability of consumption. The selection and evaluation of suppliers of fresh food is the primary problem that fresh supermarket enterprises need to consider at present. Taking fresh supermarket supplier selection as the research object, this paper analyzes the key influencing factors of fresh supermarket enterprise supplier selection and evaluation, and constructs a fresh supermarket enterprise supplier selection and evaluation index system with 4 first level indicators and 15 second level indicators. At the same time, using the analytic hierarchy process and fuzzy evaluation method, this paper analyzes the evaluation index system of fresh legend supermarket in Hefei city of Anhui Province. According to the evaluation results, suppliers need to increase the rapid response capacity and improve the cold chain logistics facilities and equipment.

Research on Ordering and Transportation Strategy of Supply Chain Enterprises Based on AHP Analytic Hierarchy Process and Entropy Weight Method

With the intensification of market competition, the improvement of the efficiency of enterprise logistics supply chain is becoming more and more important to improve the net profit of enterprises. Therefore, it is a research direction of both theoretical significance and practical value to study how to choose the best supplier and make order transportation decision. Therefore, this paper establishes a reasonable supplier selection index system to select the 50 most important suppliers, and first selects 5 secondary indicators and 12 tertiary indicators. Then, based on the Pauta criterion, the abnormal suppliers are excluded by the average supply difference; secondly, this paper uses AHP analytic hierarchy process to weight the second-level index, calculates the comprehensive weight based on three weight calculation methods and uses entropy weight method to weight the third-level index, so as to establish the supplier selection index system; then through the fuzzy comprehensive evaluation model to calculate the score of each supplier, so as to get the top 50 suppliers.

Evaluation and Selection Methods of Tourism Characteristic Town: The Case of Liaoning Province, China

The construction of a characteristic town is an important measure to promote the economic transformation and upgrading of China. It also promotes the coordinated and balanced development between urban and rural areas, and the construction of new urbanization and new rural areas. At present, China’s township governments are actively declaring construction projects of characteristic town. Considering the limitation of resources and funds, the government needs to choose projects with better foundation and better development prospects to invest and build, to avoid the waste of resources brought about by blind construction. Starting from the pre-selection of the construction projects of the characteristic town, taking Liaoning Province as an example, this research divided the characteristic town into four categories. Initially established the characteristic town evaluation index system blending comprehensive and multivariate index; then optimizes the index system through the statistical analysis, reliability analysis; and validity analysis of the questionnaire survey to finally obtain the selection index system of the construction projects of the characteristic town of Liaoning Province. Secondly, using the combination of Analytic Network Process (ANP) and Improved Technique for Order Preference by Similarity to an Ideal Solution (Improved-TOPSIS) method, the selection evaluation model of tourism-type characteristic town construction projects are obtained. Finally, taking the three tourism-type characteristic town projects declared by Liaoning Province as an example, using the ANP and Improved-TOPSIS evaluation model to evaluate and compare the three towns. The priority of “Xietun Town, Tanghe Town, Zhaoquanhe Town” is obtained. The result is consistent with the recommended order and verifies the applicability of the selection model. At the same time, through the feedback of the evaluation process, the current development constraints of the three towns are clarified, and the future development direction of the town is pointed out.

Improved Fuzzy Grey Relational-TOPSIS model for hazardous waste transporter selection

With the continuous increase of hazardous waste production, environmental protection organizations all over the world pay more attention to it, and each link of the whole life cycle of hazardous waste becomes more and more standardized. Because waste production units (WPU) must strictly abide by the law to transport hazardous waste, and most WPU do not have the relevant qualifications, plus the particularity of hazardous waste, usually choose to outsource this business, so how to choose WPU becomes more important. This paper studies the selection of hazardous waste reverse logistics suppliers. Firstly, based on the characteristics of hazardous waste industry itself, this paper innovatively establishes the evaluation and selection index system of hazardous waste transporter (HWT) from five dimensions including technical capability, service level, economic level, environment and safety and additional services. Then the fuzzy grey relational-TOPSIS (F-GR-TOPSIS) model is established by improving the grey relational-topsis model. Through the fuzzy theory, the qualitative index is quantified, and the grey relational analysis method is used to give the objective weight to the index. Finally, an example is given to verify the effectiveness of the method, which provides a certain reference for WPU to select hazardous waste transporter.

The optimized selection strategy of crowdsourcing members in cloud-based design and manufacturing platform

Crowdsourcing services and cloud-based design and manufacturing platforms have been combined into an emerging network service model. Due to the diversity and differences of crowdsourcing members in the platform, member optimized selection process is uncertain and discrete, and it is difficult to find the most satisfying solution. In view of this, this article proposed an optimized selection strategy of crowdsourcing members to help users select reasonable crowdsourcing members to form the cooperative team with the most satisfaction. The research steps in this article are as follows. The first step is to analyze the characteristics of crowdsourcing services and crowdsourcing members in the cloud-based design and manufacturing platform. In the second step, according to the characteristics of crowdsourcing members, the evaluation index and target variables of members in the optimized process are proposed, the optimized selection system is established, and the calculation based on each target variable is given. In the third step, the decision-making model is established based on the optimized selection index system. The model decomposes the task-oriented global optimized selection indexes for crowdsourcing members into subtask-oriented local optimized selection indexes, and the gray relational analysis method is used to solve the model. Finally, the effectiveness of the proposed method is verified by taking the crowdsourcing member optimized selection process in the medical product research and development task as an example.

Construction of the Selection Index System for High-level Basketball Players in Colleges and Universities

Construction of the Selection Index System for High-level Basketball Players in Colleges and Universities