scholarly journals A Decision-Making Framework for the Smart Charging of Electric Vehicles Considering the Priorities of the Driver

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6120
Author(s):  
Nikolaos Milas ◽  
Dimitris Mourtzis ◽  
Emmanuel Tatakis
Keyword(s):  
Decision Making ◽  
Electric Vehicles ◽  
Scheduling Algorithm ◽  
Analytic Hierarchy ◽  
Open Platform ◽  
Charging Station ◽  
Smart Charging ◽  
Definition Of ◽  
Hierarchy Process ◽  
Selection Of

During the last decade, the technologies related to electric vehicles (EVs) have captured both scientific and industrial interest. Specifically, the subject of the smart charging of EVs has gained significant attention, as it facilitates the managed charging of EVs to reduce disturbances to the power grid. Despite the presence of an extended literature on the topic, the implementation of a framework that allows flexibility in the definition of the decision-making objectives, along with user-defined criteria is still a challenge. Towards addressing this challenge, a framework for the smart charging of EVs is presented in this paper. The framework consists of a heuristic algorithm that facilitates the charge scheduling within a charging station (CS), and the analytic hierarchy process (AHP) to support the driver of the EV selecting the most appropriate charging station based on their needs of transportation and personal preferences. The communications are facilitated by the Open Platform Communications–Unified Architecture (OPC–UA) standard. For the selection of the scheduling algorithm, the genetic algorithm and particle swarm optimisation have been evaluated, where the latter had better performance. The performance of the charge scheduling is evaluated, in various charging tasks, compared to the exhaustive search for small problems.

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.

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.

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 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.

Selection of Outsourcing Supplier Based on AHP

2012 ◽  
Vol 490-495 ◽  
pp. 2921-2925 ◽  
Author(s):  
Wen Li Geng ◽  
Ying Song Hu
Keyword(s):  
Decision Making ◽  
Common Factors ◽  
Analysis Method ◽  
Consistency Check ◽  
Analytic Hierarchy ◽  
Quantitative Analysis Method ◽  
The Common ◽  
The Right ◽  
Hierarchy Process ◽  
Selection Of

With the development of the economy and society, more and more enterprises outsource the procuring of services or products from an outside supplier or manufacturer in order to cut costs. To realize outsourcing, the outsourcing needer must choose the supplier carefully, so the method that how to choose the right supplier to realize the outsourcing is particularly important. Lots of factors should be taken into account, but the common factors are cost, quality, additional resources, prior works and contract terms. With the qualitative analysis and quantitative analysis method of analytic hierarchy process, put forward the model of the outsourcing. The model includes three aspects: objective layer, criterion layer and alternative layer. The objective layer is the aim of select supplier; the criterion layer is the factors which affect the choice and the alternative layer is the different selectable enterprise. After calculating the synthetic level value to order in single level and whole system and though the consistency check, eventually got the different weights of different alternations, it can provides direct basis for the decision-making, that is, the enterprise which has the biggest weight of the choice should be placed ahead of the others.

Use of AHP in decision-making for machine tool configurations

2016 ◽  
Vol 27 (6) ◽  
pp. 874-888 ◽  
Author(s):  
Uday Hameed Farhan ◽  
Majid Tolouei-Rad ◽  
Adam Osseiran
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Pairwise Comparison ◽  
Assessment Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Four Levels ◽  
Time Required ◽  
Hierarchy Process ◽  
Selection Of

Purpose The purpose of this paper is to develop a model of analytic hierarchy process (AHP), a multiple criteria decision-making method, to assist selecting suitable machine configurations for special purpose machines (SPMs) from available alternatives. Design/methodology/approach The necessary criteria and sub-criteria were identified and used in the developed model. The assessment process was carried out by constructing the hierarchy of four levels. Then, pairwise comparison matrices were created for each level to compute the weights for the alternatives. The model was programmed and implemented by software for practical use. Findings Different scenarios were obtained from the assessment process of the developed AHP model showing the influence of changing the relevant importance of the elements in the hierarchy on the selection of SPMs configurations. Selection of the suitable scenario was also affected by some factors of manufacturing preferences and industry recommendations such as cost and production rate. Originality/value This is a new application of AHP method which assists decision makers to select suitable configurations for SPMs, and reduce the time required for designing SPMs.

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