Vendor Evaluation and Selection Using Fuzzy AHP

Vendor evaluation and selection is one of the most important issues in manufacturing management. It is a multi-criteria decision problem including various factors. Traditional methods have many shortcomings. Fuzzy AHP model is established to solve this problem. A general evaluation method is provided and steps are presented. As a case study,the model is implemented in an electro-mechanical product company. And a detailed example is given to illustrate the effectiveness of this approach.

Machine tool selection based on fuzzy evaluation and optimization of cutting parameters

The paper analyzes the factors influencing machine tool selection. By using fuzzy mathematics theory, we establish a theorietical model for optimal machine tool selection considering geometric features, clamping size, machining range, machining precision and surface roughness. By means of fuzzy comprehensive evaluation method, the membership degree of machine tool selection and the largest comprehensive evaluation index are determined. Then the reasonably automatic selection of machine tool is realized in the generative computer aided process planning （CAPP） system. Finally, the finite element model based on ABAQUS is established and the cutting process of machine tool is simulated. According to the theoretical and empirical cutting parameters and the curve of surface residual stress, the optimal cutting parameters can be determined.

Selection and evaluation of suitable tree species in dry and dusty mining areas of Northwest China

To select drought-resistant and dust-tolerant native species suitable for use in the rehabilitation of major coal bases in northwest China,nine tree species were identified for growth rates,biomass,harm index,and physiological indices under drought and high dust stress conditions.The results showed that,in the dust resistance index system,the order was Caragana korshinskii>Amorpha fruticosa>Sabina vulgaris>Hedysarum scoparium>Tamarix chinensis>Ammopiptanthus mongolicus>Ulmus pumila>C aryopteris mongholica>Elaeagnus angustifolia.In a comprehensive drought and dust resistance index system,14 indices(such as shoot length,stomatal conductance,and peroxidase)had the larger weight indices.The drought and dust resistance order of the tree species was C aragana korshinskii>Ulmus pumila>Amorpha fruticosa>Sabina vulgaris>Caryopteris mongholica>Ammopiptanthus mongolicus>H edysarum scoparium>Tamarix chinensis>Elaeagnus angustifolia.This study provides effective strategies and references for selecting suitable tree species for arid mining sites in China,and also for the revegetation of coal mining sites worldwide.

Evaluation and selection of the ship collaborative design resources based on AHP and genetic and simulated annealing algorithm

The characteristics of the design resources in the ship collaborative design is described and the hierarchical model for the evaluation of the design resources is established. The comprehensive evaluation of the co-designers for the collaborative design resources has been done from different aspects using Analytic Hierarchy Process （AHP） ,and according to the evaluation results,the candidates are determined. Meanwhile,based on the principle of minimum cost,and starting from the relations between the design tasks and the corresponding co-designers,the optimizing selection model of the collaborators is established and one novel genetic combined with simulated annealing algorithm is proposed to realize the optimization. It overcomes the defects of the genetic algorithm which may lead to the premature convergenee and local optimization if used individually. Through the application of this method in the ship collaborative design system,it proves the feasibility and provides a quantitative method for the optimizing selection of the design resources.

Selection Method of Evaluation Indicators with Three-Parameter Interval Grey Number

The evaluation problem with three-parameter interval grey number (T-PIGN) widely exists in real world. To select effective evaluation indicators of the problem, this paper puts forward evaluation index system selection principle of T-PIGN based on distance entropy model, and gives out evaluation index system selection judgment criterion of T-PIGN. Furthermore, for the redundancy of evaluation index system with T-PIGN, a selection method of evaluation index system with T-PIGN is proposed. Finally, the applicability of the proposed method is verified by concrete examples.

Weapons system portfolio selection based on the contribution rate evaluation of system of systems

The weapons system portfolio selection problem arises at the equipment demonstration stage and deals with the military application requirements.Further,the contribution rate of the system is one of the important indicators to evaluate the role of a system,which can facilitate the weapons system portfolio selection.Therefore,combining the system contribution rate with system portfolio selection is the focus of this study.It also focuses on calculating the contribution rates of multiple equipment systems with various types of capabilities.The contribution rate is measured by establishing a hierarchical multi-criteria value model from three dimensions.Based on the value model,the feasible portfolios are developed under certain cost constraints and the optimal weapons system portfolios are obtained by using the classification optimization selection strategy.Finally,an illustrative example is presented to verify the feasibility of the proposed model.

Evaluation and Selection of Introduced Tree Species in the Beijing-Tianjin Corridor

Based on the extensive analysis of natural and social conditions,regional development,and characteristics of tree species in the Beijing-Tianjin corridor,a comprehensive evaluation index system that consists of A,B,C,D layers was established for introduced tree species.Nine local representative introduced tree species were evaluated using the analytic hierarchy process(AHP).The results showed that Platanus orientalis,Quercus mongolicus,and Zizyphusjujube performed better comprehensively and were recommended as the dominant introduced tree species in the Beijing-Tianjin corridor.Other representative introduced tree species should be appropriately developed in the region.Main factors that should be taken into account for introduced tree species including drought tolerance,wintering habit,growth rate,leanness tolerance,pollution tolerance,saline tolerance,and disease resistance.

A general evaluation system for optimal selection performance of radar clutter model

The optimal selection of radar clutter model is the premise of target detection,tracking,recognition,and cognitive waveform design in clutter background.Clutter characterization models are usually derived by mathematical simplification or empirical data fitting.However,the lack of standard model labels is a challenge in the optimal selection process.To solve this problem,a general three-level evaluation system for the model selection performance is proposed,including model selection accuracy index based on simulation data,fit goodness indexs based on the optimally selected model,and evaluation index based on the supporting performance to its third-party.The three-level evaluation system can more comprehensively and accurately describe the selection performance of the radar clutter model in different ways,and can be popularized and applied to the evaluation of other similar characterization model selection.

Reliability Evaluation Optimal Selection Model of Component-Based System

If the components in a component-based software system come from different sources, the characteristics of the components may be different. Therefore, evaluating the reliability of a component-based system with a fixed model for all components will not be reasonable. To solve this problem, this paper combines a single reliability growth model with an architecture-based reliability model, and proposes an optimal selecting approach. First, the most appropriate model of each component is selected according to the historical reliability data of the component, so that the evaluation deviation is the smallest. Then, system reliability is evaluated according to both the relationships among components and the using frequency of each component. As the approach takes into account the historical data and the using frequency of each component, the evaluation and prediction results are more accurate than those of using a single model.

Evaluation of Feature Subset Selection, Feature Weighting, and Prototype Selection for Biomedical Applications

Many medical diagnosis applications are characterized by datasets that contain under-represented classes due to the fact that the disease is much rarer than the normal case. In such a situation classifiers such as decision trees and Na?ve Bayesian that generalize over the data are not the proper choice as classification methods. Case-based classifiers that can work on the samples seen so far are more appropriate for such a task. We propose to calculate the contingency table and class specific evaluation measures despite the overall accuracy for evaluation purposes of classifiers for these specific data characteristics. We evaluate the different options of our case-based classifier and compare the perform-ance to decision trees and Na?ve Bayesian. Finally, we give an outlook for further work.

A Weighted Combination Forecasting Model for Power Load Based on Forecasting Model Selection and Fuzzy Scale Joint Evaluation

To solve the medium and long term power load forecasting problem,the combination forecasting method is further expanded and a weighted combination forecasting model for power load is put forward.This model is divided into two stages which are forecasting model selection and weighted combination forecasting.Based on Markov chain conversion and cloud model,the forecasting model selection is implanted and several outstanding models are selected for the combination forecasting.For the weighted combination forecasting,a fuzzy scale joint evaluation method is proposed to determine the weight of selected forecasting model.The percentage error and mean absolute percentage error of weighted combination forecasting result of the power consumption in a certain area of China are 0.7439%and 0.3198%,respectively,while the maximum values of these two indexes of single forecasting models are 5.2278%and 1.9497%.It shows that the forecasting indexes of proposed model are improved significantly compared with the single forecasting models.

High-quality development level evaluation and path selection of prefabricated buildings

For a long time,Chinese construction industry has had disadvantages such as waste of resources,environmental pollution,long construction period,great influence by weather,low enterprise efficiency and poor benefit.While being able to solve the disadvantages of traditional buildings,prefabricated buildings,as an important starting point to achieve the carbon peaking and carbon neutrality goals,are far superior to traditional buildings in green and low-carbon,energy conservation and emission reduction,which can accelerate the transformation and upgrading of the construction industry.In recent years,the government has vigorously promoted prefabricated buildings,but the implementation of prefabricated buildings has been frequently hindered and the development of prefabricated buildings in China has not achieve the expected goal in many aspects.Under the high-quality development strategy proposed by the central government,how to promote the high-quality development of prefabricated buildings in China is one of the key difficulties of Chinese construction industry in the future.Therefore,it is necessary to proceed from the connotation of the high-quality development of prefabricated buildings,establish an evaluation model for the high-quality development level of prefabricated buildings through AHP and comprehensive fuzzy evaluation to master the high-quality development level of prefabricated buildings in China,and explore the reasonable paths selection forthe high-quality development of prefabricated buildings in China.

EXPERIMENTAL STUDIES OF MEDICAL EQUIPMENT SELECTION BY USING THE MULTI-STAGE WEIGHTING EVALUATION METHOD

As more and more sophiscated medical equipment is being purchased byhospitals, selection is becoming an increasinly complex and important process. But it'sdifficult to compare different products analytically. Therefore personal preferences andbiases will probably be ntroduced. This paper describes a scientific model selectionmethod to quantify a product's value to make comparison easy.

Site Selection of Land Consolidation Project Based on Farmland Quality Evaluation in Yanjin County of Henan Province

In order to explore the effects of farmland quality evaluation on site selection of land consolidation projects,the methods of agricultural land use classification were used. Taking several project areas in Yanjin County of Henan Province as examples,the farmland quality before and after land consolidation projects was evaluated. The results indicate that under the conditions of reasonable site selection,the implementation of land consolidation projects can effectively improve the farmland quality and increase the grain productivity. Therefore,before the site selection for land consolidation projects,it is recommended to carry out pre-evaluation of farmland quality,and guide the project implementation according to the evaluation results. Besides,it is recommended to focus on medium and low level farmland with large centralized area,excellent original production conditions,but low level of development and use.

The suitability assessment on site selection for bottom seeding scallop culture based on analytic hierarchy process

Scallop culture is an important way of bottom-seeding marine ranching,which is of great significance to improve the current situation of fishery resources.However,there are some problems in site-selection evaluation of marine ranching,such as imperfect criteria system,complex structure,untargeted criteria quantification,etc.In addition,no site-selection evaluation method of bottom-seeding culture areas for scallops is available.Therefore,we established a hierarchy structure model according to the analytic hierarchy process(AHP)theory,in which social,physical,chemical,and biological environments are used as main criteria,and marine functional zonation,water depth,current,water temperature,salinity,substrate type,water quality,sediment quality,red tide,phytoplankton,and zooplankton are used as sub-criteria,on which a multi-parameter evaluation system is set up.Meanwhile,the dualism method,assignment method,and membership function method were used to quantify sub-criteria,and a quantitative evaluation for the entire criteria was added,including the evaluation and analysis of two types of unsuitable environmental situations.By overall consideration in scallop yield,quality,and marine ranching construction objectives,the weight of the main criteria could be determined.Five grades in the suitability corresponding to the evaluation result were divided,and the Python language was used to create an evaluation system for efficient calculation and intuitive presentation of the evaluation outcome.Eight marine cases were simulated based on existing survey data,and the results prove that the method is feasible for evaluating and analyzing the site selection of bottom-seeding culture areas for scallops under various environmental situations.The proposed evaluation method can be promoted for the site selection of bottom-seeding marine ranching.This study provided theoretical and methodological references for the site selection evaluation of other types of marine ranching.

A preliminary site selection system for underground hydrogen storage in salt caverns and its application in Pingdingshan,China

Large‐scale underground hydrogen storage(UHS)provides a promising method for increasing the role of hydrogen in the process of carbon neutrality and energy transition.Of all the existing storage deposits,salt caverns are recognized as ideal sites for pure hydrogen storage.Evaluation and optimization of site selection for hydrogen storage facilities in salt caverns have become significant issues.In this article,the software CiteSpace is used to analyze and filter hot topics in published research.Based on a detailed classification and analysis,a“four‐factor”model for the site selection of salt cavern hydrogen storage is proposed,encompassing the dynamic demands of hydrogen energy,geological,hydrological,and ground factors of salt mines.Subsequently,20 basic indicators for comprehensive suitability grading of the target site were screened using the analytic hierarchy process and expert survey methods were adopted,which provided a preliminary site selection system for salt cavern hydrogen storage.Ultimately,the developed system was applied for the evaluation of salt cavern hydrogen storage sites in the salt mines of Pingdingshan City,Henan Province,thereby confirming its rationality and effectiveness.This research provides a feasible method and theoretical basis for the site selection of UHS in salt caverns in China.

Application of Bayesian Econometrics in Policy Evaluation

This study explores the application of Bayesian econometrics in policy evaluation through theoretical analysis. The research first reviews the theoretical foundations of Bayesian methods, including the concepts of Bayesian inference, prior distributions, and posterior distributions. Through systematic analysis, the study constructs a theoretical framework for applying Bayesian methods in policy evaluation. The research finds that Bayesian methods have multiple theoretical advantages in policy evaluation: Based on parameter uncertainty theory, Bayesian methods can better handle uncertainty in model parameters and provide more comprehensive estimates of policy effects;from the perspective of model selection theory, Bayesian model averaging can reduce model selection bias and enhance the robustness of evaluation results;according to causal inference theory, Bayesian causal inference methods provide new approaches for evaluating policy causal effects. The study also points out the complexities of applying Bayesian methods in policy evaluation, such as the selection of prior information and computational complexity. To address these complexities, the study proposes hybrid methods combining frequentist approaches and suggestions for developing computationally efficient algorithms. The research also discusses theoretical comparisons between Bayesian methods and other policy evaluation techniques, providing directions for future research.

Short Period Logistics Integrating: a Model for Vendors'Evaluating and Selecting

Vendors’Evaluating and Selecting is one study focu s in SCM and VMO. It is one of the very important operations management and can ad vance to implement the strategic aims. With the increase in use of total quality management and just-in-time concepts by a wide range of firms, the vendor sel ection question has become extremely important. It is necessary for firms to tak e part in the global competition and global manufacture. There are some decision -making techniques which can be used for evaluating and selecting vendors, such as weighting point methods, utility theary, multi-objective programming, analy tic hierarchy process, vendor profile analysis, and so on. Analytic Hierarchy Pr ocess(AHP) is a technique in common use for quantifying the problem. Since AHP i s put forward in 1973 by Satty, it has been accepted. However, this technique ha s its shortcomings, and one of them is that distributing weights is subjective. In recent years,some scholars prove that it is defferent from factual doing usin g subjective ways for vendors’ evaluating and selecting. In fact, the methods f or vendors’evaluating and selecting should be given by practical circs. Today, there’s somebody who has brought forward that it is studied by deviding four ty pes of relationships in view of two major factors: the reference time horizon of the relationship; and the content of the relationship in terms of the nature of the interation between supplier and customer. In the paper, we only consider th e scenario of short-term and logistic intergration brought forward by Cristina and Andrea. In the scenario, we only consider current manufacturing performance. In fact, the scenario is often seen in these developing countries.We bring up a model for grey system analysis on vendors’evaluating and selecting to attempt to expore this problem. The model integrates AHP and the grey system theory and attempt to eliminate the subjective factors in AHP using objective datum. Moreov er, it is based on the feature of data insufficiency and uncertainty and sample information of abnormality in system data.So,it overcomes the issues of deficien t information and absent data(it is often seen in management).

DECISION OF SELECTION ABOUT COMPUTER SYSTEM AND ITS VENDOR

The purpose of this article is to help small business persons who are in the market formicro-computers to select and use the specific product or service that will most effectively satisfytheir needs.This study is the development of a structure of representing system attributes in a formsuitable for a manageable decision model.This study uses“Descriptor”software package as a tooland uses the decision model of selecting a computer system and its vendor for an organization(buyer)to exemplify the application of“Descriptor”in decision processing.

A MCDM-based model for vendor selection:a case study in the particleboard industry

We investigated procurement of raw materials for particleboard to minimize costs and develop an efficient optimization model for product mix. In a multiple-vendor market, vendors must be evaluated based on specified criteria. Assuming sourcing from the highest-scoring vendors, annual purchase quantities are then planned. To meet procure- ment needs, we first propose a model to describe the problem. Then, an appropriate multi-criteria decision making （MCDM） technique is se- lected to solve it. We ran the model using commercial software such as LINGO~ and then compared the model results to a real case involving one of the largest particleboard manufacturers in the region. The model run based real data yielded a procurement program that is more efficient and lower in cost than the program currently in use. Use of this procurement modelling approach would yield considerable financial returns.