2021
DOI: 10.52812/msbd.12
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Evaluating Suppliers for Healthcare Centre using Ordinal Priority Approach

Abstract: Supplier selection is one of the most critical problems in the industry. In the healthcare sector, where the tolerance level for mistakes and errors is low, the need to improve the supplier evaluation system is ever increasing. Earlier, the cardinal data-based mathematical models played an important role in supplier selection however since last few decades, the emphasis on the decision-making methods that can handle ordinal relations is gaining exceeding attention. The development of the Ordinal Priority Appro… Show more

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Cited by 22 publications
(13 citation statements)
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“…Additionally, under the uncertain conditions in decision making process, the incomplete information, the difficulties in the constructing process of the linguistic scales and evaluations, the necessary of normalized and comparison matrices with the aggregated evaluations are among the main problems of complex multi-criteria decision-making techniques. However, there are several outstanding methods to solve the uncertainty related to data collection and methodologies including gray system theory and ordinal priority and gray ordinal priority approaches (Islam, 2021; Mahmoudi et al, 2020; Mahmoudi et al, 2021; Quartey-Papafio et al, 2021). To prevent these issues, in Table 2, the exact linguistic scales and evaluation sets are defined to obtain the experts’ opinion more accurately.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, under the uncertain conditions in decision making process, the incomplete information, the difficulties in the constructing process of the linguistic scales and evaluations, the necessary of normalized and comparison matrices with the aggregated evaluations are among the main problems of complex multi-criteria decision-making techniques. However, there are several outstanding methods to solve the uncertainty related to data collection and methodologies including gray system theory and ordinal priority and gray ordinal priority approaches (Islam, 2021; Mahmoudi et al, 2020; Mahmoudi et al, 2021; Quartey-Papafio et al, 2021). To prevent these issues, in Table 2, the exact linguistic scales and evaluation sets are defined to obtain the experts’ opinion more accurately.…”
Section: Methodsmentioning
confidence: 99%
“…Ataei et al (2020) proposed the OPA and compared it with six other models; AHP, BWM, TOPSIS, VIKOR, PROMETHEE, and QUALIFLEX (see the last row of Table 1 for full names). Their results, and those of succeeding studies (Abdel-Basset et al, 2022;Pamucar et al, 2022;Quartey-Papafio et al, 2021), revealed that the methodology of OPA enjoys several benefits compared with other models. For instance, it has been shown that the OPA does not require a pairwise comparison matrix, normalization of input, and averaging methods for aggregating experts' opinions.…”
Section: Introductionmentioning
confidence: 92%
“…49 Primary information is essential to analyze the relationships defined by subjective variables or criteria. 50,51 Our data analysis is based on primary data collection via an on-site survey of nursing faculty staff in public and private hospitals in Lahore, Pakistan, by the first two authors. The respondents of private hospitals were 60% more than public hospitals, and the targeted population were mainly comprised of female genders.…”
Section: Participants and Proceduresmentioning
confidence: 99%