AHP, a Reliable Method for Quality Decision Making: A Case Study in Business

Canco, Irina; Kruja, Drita; Iancu, Tiberiu

doi:10.3390/su132413932

Cited by 74 publications

(49 citation statements)

References 54 publications

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“…The AHP, as well as other tools based on multi-attribute utility functions such as the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the analytic network process (ANP) and the Simple Multi-Attribute Rating Technique (SMART), has been applied in several contexts [9][10][11][12] including the fields of energy renewal [13][14][15], education [9,16,17], urban areas and mobility [18][19][20] and, more recently, health technology assessment [21][22][23][24][25][26][27] and quality improvement in the healthcare sector [11,[28][29][30][31]. From the basic AHP principles, many other hybrid approaches for multicriteria decision making have been developed such as the fuzzy AHP [32][33][34][35], aimed at handling imprecise criteria with the use of fuzzy logic [34,36], the Interval Rough AHP-Multi-Attributive Border Approximation Area Comparison (IR-AHP-MABAC) [37], aimed at treating uncertainties in group multicriteria decision-making problems, and other hybrid approaches combining the AHP with other methodologies such as AHP-fuzzy TOPSIS, fuzzy AHP-PROMETHEE or AHP-Simple Additive Weighting [38][39][40].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Ponsiglione

Amato

Cozzolino³

et al. 2022

Mathematics

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The quality assessment of training courses is of utmost importance in the medical education field to improve the quality of the training. This work proposes a hybrid multicriteria decision-making approach based on two methodologies, a Likert scale (LS) and the analytic hierarchy process (AHP), for the quality assessment of medical education programs. On one hand, the qualitative LS method was adopted to estimate the degree of consensus on specific topics; on the other hand, the quantitative AHP technique was employed to prioritize parameters involved in complex decision-making problems. The approach was validated in a real scenario for evaluating healthcare training activities carried out at the Centre of Biotechnology of the National Hospital A.O.R.N. “A. Cardarelli” of Naples (Italy). The rational combination of the two methodologies proved to be a promising decision-making tool for decision makers to identify those aspects of a medical education program characterized by a lower user satisfaction degree (revealed by the LS) and a higher priority degree (revealed by the AHP), potentially suggesting strategies to increase the quality of the service provided and to reduce the waste of resources. The results show how this hybrid approach can provide decision makers with helpful information to select the most important characteristics of the delivered education program and to possibly improve the weakest ones, thus enhancing the whole quality of the training courses.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Ponsiglione

Amato

Cozzolino³

et al. 2022

Mathematics

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“…Although there are new and useful decision-making methods for MCDM, AHP still has many advantages as follows: (i) AHP is concise and easy to understand and grasp for decision-makers and scholars; (ii) Since it has been applied in various domains, especially in health care recently, the validity of this model can be verified through literature review; (iii) It uses hierarchical structures to model problems and has less equalizing bias; and (iv) This method has strong practicality and can be used in combination with other methods to compensate for its shortcomings [67][68][69][70][71]. Strategy prioritization through a transparent and systematic approach that key stakeholders take into account the available strategy options and all relevant criteria simultaneously, and relative weighting scheme in accordance with the current socioeconomic status of society can help to develop more appropriate measures to achieve the goals of national action plans for prevention and control of NCDs.…”

Section: Open Accessmentioning

confidence: 99%

Prioritizing population-based nutrition-related interventions to prevent and control hypertension in Iran: a multi-criteria decision-making approach

Aliasgharzadeh

Ebrahimi-Mameghani

Mahdavi

et al. 2022

BMC Med Res Methodol

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Background Numerous nutrition-related policy options and strategies have been proposed to tackle hypertension and other risk factors of non-communicable diseases (NCDs). In this study, we developed a comparative analysis using a multi-criteria decision-making (MCDM) model for prioritizing population-based nutrition-related interventions to prevent and control hypertension in Iran. Methods We employed a combination of Delphi technique and Analytic Hierarchy Process (AHP) method as the methodological tool to prioritize decision alternatives using multiple criteria. The prominent assessment criteria and intervention strategies were derived using a literature review, focus group discussion (n = 11), and a 2-round modified Delphi technique with specialists and experts involved in different stages of health policy-making (round 1: n = 50, round 2: n = 46). Then, the AHP was used to determine the weightage of the selected interventions and develop the decision-making model. The sensitivity analysis was performed to test the stability of the priority ranking. Results Nine alternative interventions were included in the final ranking based on eight assessment criteria. According to the results, the most priority interventions to prevent and control hypertension included reformulation of food products to contain less salt and changing the target levels of salt in foods and meals, providing low-sodium salt substitutes, and reducing salt intake through the implementation of front-of-package labeling (FOPL). The results of the sensitivity analysis and a comparison analysis suggested that the assessment model performed in this study had an appropriate level of robustness in selecting the best option among the proposed alternatives. Conclusion MCDM techniques offer a potentially valuable approach to rationally structuring the problem, along with the opportunity to make explicit the judgments used as part of the decision-making model. The findings of this study provide a preliminary evidence base to guide future decisions and reforms aiming to improve appropriate population-based interventions for tackling hypertension and other risk factors of NCDs.

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“…However, the method also has some disadvantages reported by the researchers, among which the existence of a fixed measurement scale that can affect the judgment given by the respondent stands out (Canco et al, 2021).…”

Section: Ahp and Fahpmentioning

confidence: 99%

Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP

Moreno

Ospino-Castro²,

Robles-Algarín³

2022

IJEEP

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The implementation of electrification programs in non-interconnected rural areas in Colombia is a challenge for the country in order to reduce the social gap in these regions. This task is responsibility of the Mining and Energy Planning Unit (UPME), which has as challenges the implementation of renewable energy projects that allow diversifying the national energy matrix. For this reason, this paper proposes a support framework for multicriteria decision-making in the electricity supply of non-interconnected rural areas for the Colombian Caribbean Region. The multicriteria method of the Fuzzy Analytical Hierarchical Process (FAHP) was used, which allows the incorporation of a fuzzy triangular scale to improve the imprecision in the judgments made by experts. A hierarchical structure with 6 renewable energy alternatives, 4 criteria and 16 sub-criteria was designed, which allowed the implementation of a paired comparison survey that was answered by 10 experts from the region. The results obtained show the relevance of all alternatives, which is evidenced by a percentage difference of less than 5% between all the options. The best alternative was solar PV (20,27%). Regarding the criteria, the most relevant were economic (39,6%) and environmental (30,8%). The most relevant sub-criterion was the renewable fraction, related to the possible reuse of equipment (20,2%).

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AHP, a Reliable Method for Quality Decision Making: A Case Study in Business

Cited by 74 publications

References 54 publications

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

A Hybrid Analytic Hierarchy Process and Likert Scale Approach for the Quality Assessment of Medical Education Programs

Prioritizing population-based nutrition-related interventions to prevent and control hypertension in Iran: a multi-criteria decision-making approach

Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP

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