Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

2021 ◽  
pp. 146442072110556
Author(s):  
Dengfeng Wang ◽  
Shenhua Li
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
The Body ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Lightweight Material ◽  
Automotive Body ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

Prioritization of Bank Selection Decision in Pandemic Process Using a Novel Decision-Making Model

2021 ◽  
pp. 477-492
Author(s):  
Ahmet Çalık ◽  
Bilge Afşar
Keyword(s):  
Decision Making ◽  
Interest Rate ◽  
Selection Criteria ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Selection Decision ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Selection Of

In Turkey, since March 2020, the pandemic process caused changes in the bank selection of consumers as it affected all other activities. Prioritization of bank selection criteria is a multi-criteria decision-making (MCDM) problem with conflicting criteria. In this study, the Pythagorean fuzzy analytic hierarchy process (PFAHP) is used to prioritize the selection criteria, it is aimed to provide more freedom for decision-makers in expressing their opinions. Not only quantitative criteria such as interest rate, ATM, and number of branches, but also the environmental and social impacts of the pandemic, the nine main criteria have been determined. As a result of interviews with different sectors, it was found that the loan interest rate is the most important criterion. The results were compared with different classical and fuzzy AHP methods, and it was found that the PFAHP method produced reliable and informative results that better represented the uncertainty of the decision-making process.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores

2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua
Keyword(s):  
Decision Making ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Satisfaction Score ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Best Worst Method ◽  
Selection Of

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.

scholarly journals Development of Subcontractor Selection Models Using Fuzzy and AHP Methods in the Apparel Industry Supply Chain

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mourad Lahdhiri ◽  
Amel Babay ◽  
Mohamed Jmali
Keyword(s):  
Supply Chain ◽  
Quality Level ◽  
Analytic Hierarchy ◽  
Delivery Delay ◽  
Multicriterion Problem ◽  
Selection Decision ◽  
Fuzzy Logic Method ◽  
Hierarchy Process ◽  
Price Offer ◽  
Selection Of

AbstractThe subcontractor selection decision is inherently a multicriterion problem. It is a decision of strategic importance for companies. The nature of this decision is usually complex and unstructured. Management science techniques might be helpful tools for solving these kinds of decision-making problems. In this research, the fuzzy logic method and the analytic hierarchy process were applied for the selection of suitable subcontractors in an apparel supply chain.In general, many factors, such as quality level, price offer, and delivery delay, were considered to determine the most suitable and reliable subcontractors that fit the company's strategy. This survey is carried out using the database of an apparel company manufacturing denim products.

scholarly journals Destination Management for Ecotourism Activity Using Analytical Hierarchy Process

2022 ◽  
Vol 2022 ◽  
pp. 1-6
Author(s):  
Xi Wu ◽  
Shuying Qiao ◽  
Qiongqiong Tan
Keyword(s):  
Decision Making ◽  
Qualitative And Quantitative Analysis ◽  
Analytic Hierarchy ◽  
Suitable Candidate ◽  
Qualitative And Quantitative ◽  
Original Ecology ◽  
Local Residents ◽  
Reserved Area ◽  
Hierarchy Process ◽  
Selection Of

Analytic hierarchy process (AHP) refers to a decision-making method that decomposes the elements related to decision-making into goals, criteria, plans, and other levels and performs qualitative and quantitative analysis. Ecotourism is one component of sustainable tourism. Due to ecotourism activity, ecotourism links the reserved area with local residents and tourists. The aim of this research is to identify the proper ecotourism activity in Diaoluo Mountain National Nature Reserve with the help of the AHP method. The motivation behind the use of AHP is its widespread use in the decision-making process of selection of suitable candidate or alternative spot for tourists’ activity in the domain of ecotourism. The result shows that the most suitable ecotourism activity is “visit and experience life in the original ecology villages of Li and Miao ethnic minorities with a guide.” The proposed AHP decision-making method has effectively been used to select ecotourism activity based on multiple criteria evaluations.

scholarly journals Vendor Selection by Analytic Hierarchy Process (AHP) in Livestock Trading Ecosystem

2021 ◽  
Vol 57 (9) ◽  
pp. 6220-6229
Author(s):  
Prashant Rai, Dr Arun Kumar ON
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Large Scale ◽  
Bubalus Bubalis ◽  
Small Scale ◽  
Analytic Hierarchy ◽  
Murrah Buffalo ◽  
Practical Tool ◽  
Hierarchy Process ◽  
Selection Of

As livestock plays a very crucial role in Indian economy. Livestock trading in India is very unstructured. The Buyer can be farmer or Diary farm owner who wants to procure a livestock. In this research the Livestock which is considered is the Murrah buffalo belong to water buffalo (Bubalus bubalis) breed which are mainly kept for milk production. The buyer is available with 8 suppliers which are fulfilling the same criteria of the breed. The Suppliers are divided into two segments, large scale supplier and small scale supplier. The supplier having more than 10 livestock of same breed has been considered large scale supplier, and the supplier having less than or equal to 10 has been considered small scale supplier. As competition is increasing every day the procurement activities are highly important. So, Multi criteria decision making approach has been used. Specifically, Analytic Hierarchy Process has been used for the selection of vendor among the alternatives available. In this research three criteria, seven sub criteria and eight alternatives has been evaluated. All vendors are ranked according to the result obtained from the AHP to aid the decision making. By implementation of AHP we were able to obtain the best fit vendor. AHP is a practical tool used for aiding the decision making when there are too many parameters. In Livestock trading ecosystem this tool will help in decision making

scholarly journals Aid application multicriteria the decision based on AHP Method and Fuzzy Logic in commercial land selection

2019 ◽  
Vol 26 (3) ◽  
Author(s):  
Nilson Brandalise ◽  
Amanda Sexto Alexandre Pereira ◽  
Luiz Carlos Brasil de Brito Mello
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Engineering Problems ◽  
Hierarchy Process ◽  
Analytical Operation ◽  
Selection Of

Abstract The objective of this article is to select land for commercial buildings in Rio de Janeiro city using multiple criteria decision-making techniques. The techniques used were based on the Analytic Hierarchy Process (AHP) and Fuzzy Logic methods. These methods were chosen because of functionality, flexibility and great application in engineering problems for decision making involving multiple criteria. Its application was made through an opinion survey with expert builders, where 6 (six) factors for evaluation were selected in 10 (ten) commercial land alternatives. For the analytical operation of the methods, the software used were: Super Decisions and MATLAB®, respectively for each method, presenting the factors classified, in order of priority, in the selection of land, and ranking of the alternatives according to the defined scenario, facilitating in this way the process of selection of land for buildings, establishing a scientific way for the decision process.

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