An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe

Torkayesh, Ali Ebadi; Pamučar, Dragan; Ecer, Fatih; Chatterjee, Prasenjit

doi:10.1016/j.seps.2021.101052

Cited by 108 publications

(49 citation statements)

References 52 publications

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“…There are several methods to determine subjective criteria weights such as AHP, ANP, Best–Worst Method (BWM), Full Consistency Method (FUCOM), and Level Based Weight Assessment (LBWA) 67 – 70 . In this section, a modified version of the SWARA method is presented.…”

Section: Methodsmentioning

confidence: 99%

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Ghorabaee

2021

Sci Rep

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Distribution is a strategic function of logistics in different companies. Establishing distribution centers (DCs) in appropriate locations helps companies to reach long-term goals and have better relations with their customers. Assessment of possible locations for opening new DCs can be considered as an MCDM (Multi-Criteria Decision-Making) problem. In this study, a decision-making approach is proposed to assess DC locations. The proposed approach is based on Stepwise Weight Assessment Ratio Analysis II (SWARA II), Method based on the Removal Effects of Criteria (MEREC), Weighted Aggregated Sum Product Assessment (WASPAS), simulation, and the assignment model. The assessment process is performed using the subjective and objective criteria weights determined based on multiple experts’ judgments. The decision matrix, subjective weights and objective weights are modeled based on the triangular probability distribution to assess the possible alternatives. Then, using simulation and the assignment model, the final aggregated results are determined. A case of DC locations assessment is addressed to show the applicability of the proposed approach. A comparative analysis is also made to verify the results. The analyses of this study show that the proposed approach is efficient in dealing with the assessment of DC locations, and the final results are congruent with those of existing MCDM methods.

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Section: Methodsmentioning

confidence: 99%

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Ghorabaee

2021

Sci Rep

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“…In scenario-based rankings, the lowest level of SRC was measured as 0.829, thus achieving a high level of consistency. In the second part, F-MARCOS findings were compared to those obtained using seven well-established fuzzy-based MCDM techniques [67]. Fig.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Regional Aircraft Selection With Fuzzy Piprecia and Fuzzy Marcos: A Case Study of the Turkish Airline Industry

2021

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Aircraft selection is an important issue in achieving long-term goals in the airline industry. For this issue in which multiple conflicting criteria are involved, the extant literature points to the use of multi-criteria decision-making (MCDM) methods. In this respect, this study aims to propose a systematic and comprehensive framework with a focus on the regional aircraft selection perspective. To achieve this, an integrated fuzzy Pivot Pairwise Relative Criteria Importance Assessment (F-PIPRECIA) and fuzzy Measurement Alternatives and Ranking according to the Compromise Solution (F-MARCOS) approach was employed. In this study, in which six regional aircraft alternatives were evaluated according to 14 criteria, data were collected from five decision experts. As a result, it was found that the most pivotal criterion is C33 (Operational Cost), and the least important criterion is C12 (NOx). In addition, CRJ1000 was identified as the most promising regional aircraft alternative. The results of the application were further validated by applying a three-stage sensitivity analysis. The proposed structure is anticipated to assist airline managers in aircraft selection decisions under uncertainty by offering a robust and systematic tool.

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“…The second sensitivity analysis thoroughly investigates how the criteria weights influence the results. The scenarios are generated by changing the weight of the most important criterion while adjusting the weights of the other criteria as follows [59]:…”

Section: Sensitivity Analysesmentioning

confidence: 99%

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

Šimić

Lazarević

Dobrodolac

2021

Eur. Transp. Res. Rev.

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Background Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty. Method For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment. Findings A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport.

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An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe

Cited by 108 publications

References 52 publications

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Assessment of distribution center locations using a multi-expert subjective–objective decision-making approach

Regional Aircraft Selection With Fuzzy Piprecia and Fuzzy Marcos: A Case Study of the Turkish Airline Industry

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

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