Construction and Use of the ANP Decision Model Taking into Account the Experts’ Competence

Becker, Jarosaw; Becker, Aneta; Saabun, Wojciech

doi:10.1016/j.procs.2017.08.145

Cited by 18 publications

(8 citation statements)

References 26 publications

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“…Finally, AHP kept on evolving to new directions, such as the application of fuzzy based information and modelling [33], or with symmetric projection group approach [34], etc. The AHP was selected among other multi-criteria methods such as TOPSIS, PROMETHEE II, VIKOR, COPRAS, Best-Worst, and COMET methods due to its clarity, simplicity, and efficiency [35][36][37], as well as compared to the analytic network process (ANP) [38].…”

Section: Methodsmentioning

confidence: 99%

A Multi-Criteria Decision Process for EV Charging Stations’ Deployment: Findings from Greece

Ανθόπουλος

Kolovou

2021

Energies

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Electro-mobility (EV) is an emerging transportation method, whose charging infrastructure development concerns a key-factor for its growth. EV charging infrastructure has not grown yet in Greece, regardless of the ambitious national targets that have been grounded for 2030 towards a climate-neutral mobility. This study introduces a multi-criteria decision-making (MCDM) framework for EV charging infrastructure deployment and operation, which respects both the economic and the technical aspects for public charging stations. The analytic hierarchy process (AHP) was followed for the MCDM framework’s definition, which used criteria that were in the corresponding literature and performed with interviews by experts from the EV growing market in Greece. The results show that the installation and operation of public EV charging stations, located in private spaces to ensure their protection against vandalism, within the urban areas is the preferred deployment approach. Moreover, this article tests a market model for the EV charging infrastructure ownership and operation. Findings show that the incentive for investment in EV charging infrastructure market in Greece, is driven by the direct investments of limited vendors, while it is not economically oriented, but it focuses on sustainability and environmental protection.

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Section: Methodsmentioning

confidence: 99%

A Multi-Criteria Decision Process for EV Charging Stations’ Deployment: Findings from Greece

Ανθόπουλος

Kolovou

2021

Energies

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“…The literature review showed that employing ANP is one of the most efficient methods to consider different factors in decision making under uncertainty and with mutual interactions (Bouzarour-Amokrane et al 2012). The ANP enables the decision maker to include benefits, opportunities, costs, and risks Tchangani and Pérès 2010), in addition to competence, experts, criteria, preferences and alternative solutions (Becker et al 2017). The previous step was followed by a semi-structured interview that was carried out to collect data about PSP companies.…”

Section: Materials and Supporting Software Toolsmentioning

confidence: 99%

The Risky-Opportunity Analysis Method (ROAM) to Support Risk-Based Decisions in a Case-Study of Critical Infrastructure Digitization

Ardebili

Padoano

Longo

et al. 2022

Risks

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Socio-ecologic, socio-economic, and socio-technical transitions are opportunities that require fundamental changes in the system. These will encounter matters associated with security, service adoption by end-users, infrastructure and availability. The purpose of this study is to examine and overcome the risks to take advantage of opportunities through the novel Risky-Opportunity Analysis Method (ROAM). A novel quantitative method is designed to determine when, after making some changes, the risks become acceptable so that the opportunity does not deviate from the objectives. The approach provided a quantitative evaluation of the possible changes in parallel with digitization, towards providing a green Service Supply Chain (SSC). The result of ROAM shows that the most cost-effective change to increase the resilience of the system is a solution (SMS) which is different from that identified by a TOPSIS multi-criteria method. Real-word decisions in change management should tackle the complexity of systems and uncertainty of events during and after transition through a careful analysis of the alternatives. A case-study was carried out to evaluate the alternatives of an ancillary service in the Payment Service Providers (PSP). The comparison of the ROAM results with the traditional TOPSIS of the case-study unveils the priority of the ROAM in practice when the alternatives are Risky-Opportunities. The existing risk assessment tools do not take advantage of risky opportunities. To this aim, the current article introduces the term Risky-Opportunity, and two indexes—Stress and Strain—of the alternatives that are designed to be employed in the new quantitative ROAM approach.

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“…This can be achieved by resorting to analytic network process (ANP) [15]. Therefore, many professionals are relying on decision-making methodologies [16][17][18], such as ANP, to review which are the aspects or criteria that must be considered in management, in order to obtain a greater benefit for the company.…”

Section: Introductionmentioning

confidence: 99%

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

2021

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In the last few decades, the fast technological development has caused high competitiveness among companies, encouraging a pursuit for strategies that allow them to gain competitive advantage, such as the monitoring of performance by using key performance indicators (KPIs). However, its selection process is complex since there are several KPIs available to evaluate performance and different relationships between them. To overcome this challenge, the use of a multiple criteria decision-making model (MCDM) was proposed, namely the analytic network process (ANP) through which a reduced number of them are prioritized. To identify which KPIs are suitable for the press cast and die manufacturing industry, a literature review was made, and 58 unique KPIs were identified. Thus, to validate the proposed methodology, a case study was carried out in an automotive press molding industry. With the implementation of the proposed ANP model it was possible to identify 9 KPIs that ensure the correct molding process monitoring, while being aligned with the Balanced Scorecard criteria. The results show that the proposed model is suitable for selecting KPIs for the molding industry.

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Construction and Use of the ANP Decision Model Taking into Account the Experts’ Competence

Cited by 18 publications

References 26 publications

A Multi-Criteria Decision Process for EV Charging Stations’ Deployment: Findings from Greece

A Multi-Criteria Decision Process for EV Charging Stations’ Deployment: Findings from Greece

The Risky-Opportunity Analysis Method (ROAM) to Support Risk-Based Decisions in a Case-Study of Critical Infrastructure Digitization

Key Performance Indicators Selection through an Analytic Network Process Model for Tooling and Die Industry

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