Risk Evaluation of Charging Facilities of Electric Vehicles Based on Fuzzy Analytic Network Process

2014 ◽  
Vol 1070-1072 ◽  
pp. 1600-1608 ◽  
Author(s):  
Jun Dong ◽  
Gui Yuan Xue ◽  
Bing Jing Wang
Keyword(s):  
Electric Vehicles ◽  
Early Stage ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Real Problem ◽  
Scanning Method ◽  
Stage Of Development ◽  
Social Risks ◽  
Network Process ◽  
Fuzzy Analytic Network Process

With the development of the electric vehicles, the planning and construction of the charging facilities rapidly grow. However, as a new thing, it is still in the early stage of development, accompanied with large uncertainty and high investment risk for enterprises. So it is a real problem to identify these risks and avoid them. The paper analyzes these risks using environmental scanning method for the first time and sums them up to 6 main risks: the policy and legal risks, the social risks, the economic risks, technology and industry risks, risks of resources and competence in enterprise; This paper also build a evaluation model based on fuzzy analytic network process. At last we put forward several coping strategies to some key risks. The work of this paper helps enterprises to identify risks of charging facilities and avoid them.

Ứng dụng Fuzzy Analytic Network Process và Goal Programming trong lựa chọn nhà cung ứng xanh

2017 ◽  
Vol 50 ◽  
pp. 50
Author(s):  
Trần Thị Nhật Hồng ◽  
Trần Thị Mỹ Dung ◽  
Huỳnh Tấn Phong ◽  
Lê Thị Diễm Phương ◽  
Trương Hoàng Thơ
Keyword(s):  
Goal Programming ◽  
Analytic Network Process ◽  
Network Process ◽  
Fuzzy Analytic Network Process

scholarly journals Emergency Capacity of Small Towns to Endure Sudden Environmental Pollution Accidents: Construction and Application of an Evaluation Model

2021 ◽  
Vol 13 (10) ◽  
pp. 5511
Author(s):  
Delu Wang ◽  
Yadong Wang
Keyword(s):  
Environmental Pollution ◽  
Evaluation Model ◽  
Empirical Evaluation ◽  
Analytic Network Process ◽  
Small Towns ◽  
Evaluation Index System ◽  
Four Dimensions ◽  
Recovery Capacity ◽  
Network Process ◽  
Response And Recovery

Sudden environmental pollution accidents (SEPAs) in small towns are characterized by high uncertainty, complex evolution, and fast spread speed, and they cause serious harm to a wide geographic range. Thus, SEPAs greatly challenge the emergency management systems of enterprises and governments. Therefore, improving the emergency capacity of small towns (ECST) to withstand SEPAs deserves more attention. In this study, the evolution mechanism of SEPAs is systematically analyzed, revealing the interactions among various situational elements in the SEPA occurrence process. Then, an evaluation index system of the ECST response to SEPAs is constructed based on four dimensions: monitoring and early warning capacity, preparedness and mitigation capacity, response, and recovery capacity. The system includes 68 indicators and covers the key stages of the SEPA life cycle. Finally, an evaluation model of the ECST to SEPAs is proposed based on the analytic network process method, and the small town of Jiangyin City is selected as a case study for empirical evaluation. The proposed evaluation model considers the interactions and interdependent feedback between indexes, effectively improving the accuracy and scientific nature of the evaluation results. Thus, this model provides a solid decision-making reference for governments and a quantitative theoretical basis for the formulation of measures targeted at SEPAs.

scholarly journals Predicting Purchase Intention towards Battery Electric Vehicles: A Case of Indonesian Market

2021 ◽  
Vol 12 (4) ◽  
pp. 240
Author(s):  
Ade Febransyah
Keyword(s):  
Electric Vehicles ◽  
Purchase Intention ◽  
Analytic Network Process ◽  
Purchase Intentions ◽  
Early Adopters ◽  
Highly Educated ◽  
Battery Electric Vehicles ◽  
Intention To Purchase ◽  
Cost Of Ownership ◽  
Network Process

The emergence of electric vehicles (EV) is inevitable. In Indonesia, EVs in various forms have been introduced to the market. However, the adoption of EV in the Indonesian market is still negligible. The purpose of this paper is to make an early prediction of consumers’ purchase intentions towards EV, particularly battery electric vehicles (BEV), in Indonesia. A multi-criteria decision model based on the analytic network process (ANP) approach has been proposed. There are several main criteria used to explain the purchase/don’t purchase decision towards BEV, namely functionality, emotion, cost of ownership, and car identity. Through a series of pairwise comparisons involving a number of target customers of senior level professionals, their purchase intentions towards BEV have been predicted. The results of this study show that these early wealthy, highly educated consumers have a moderate preference towards purchasing BEV. Their intention to purchase is influenced by criteria as follows: emotion (42.64%), functionality (25.94%), car identity (21.87%), and cost of ownership (9.55%). Even though the invited target customers do not represent the mass market, the findings of this study could help BEV makers in Indonesia choose who the early adopters are and find the BEV product-market fit in order to accelerate the adoption of electric vehicles.

An analytic network process model for hospital facilities management performance evaluation

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Process Model ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Network Process

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.

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