A new hybrid simulation-based assignment approach for evaluating airlines with multiple service quality criteria

Evaluation of airlines based on service quality criteria can help to improve the processes of airlines, and also can give guidance to travel agencies to provide better choices for passengers and tourists. In this study, a hybrid simulation-based assignment approach is proposed to deal with multi-criteria decision-making problems with a group of decision-makers. A probability distribution is used to model decision-makers’ opinions and constructing a stochastic decision matrix. Then some efficient multi-criteria decision-making methods are utilized for evaluating alternatives in a simulation process. The proposed approach is applied to a problem of evaluation of five airlines with respect to opinions of 58 experts on 28 criteria. The results show the efficiency of the proposed to handle decision-making problems with a large number of experts. Moreover, the evaluation results are more reliable than the other decision-making approaches because of simulating decision-makers’ opinions, using multiple methods and evaluating based on aggregative results.     

基于直觉模糊偏好及COPRAS法的两阶段应急物资供应商选择研究

针对现有应急物资供应商选择研究难以与复杂的应急物资采购模式相适应、缺乏对不同应急物资采购阶段供应商选择标准的探讨等问题,分别考虑灾前和灾后两阶段的应急采购特征提出基于直觉模糊偏好及COPRAS法的应急供应商选择模型.首先通过直觉模糊偏好理论进行属性评估,再通过典型的分式规划法计算不同采购阶段下应急物资供应商评价指标的权重,然后通过COPRAS方法对各备选供应商进行选择排序,最后通过与现有研究进行对比分析,证明所提方法的合理性和有效性.     

Factors influencing the consumers’ behavioural intention to use online food delivery service: Empirical evidence from Taiwan

Understanding consumer preferences is crucial in helping online food delivery services (OFDS) increase operating revenue and competitiveness while achieving sustainable development. Prior studies on OFDS employed qualitative research and methods for statistical analysis, but few researchers have discussed the importance of the primary factors influencing consumers' selection and intention of OFDS from multiple-attribute decision-making (MADM) perspective. Based on a consumer's perspective, the MADM techniques were utilised in this study to build an assessment model for consumers' selection of OFDS. First, to determine the relative weight of each evaluation criterion and dimension, the analytic hierarchy process (AHP) was utilised. Subsequently, the complex proportional assessment of alternatives (COPRAS) was utilised to analyse the feasible solutions. Lastly, the modified VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) was employed to discuss the performance gap between each evaluation dimension and criterion. The three methods helped identify the primary evaluation criteria and determine the rankings of feasible solutions and related performance gaps. The methods were used to conduct an empirical analysis of the data. Several conclusions and suggestions have been provided based on the findings. The findings are anticipated to serve as a reference for OFDS operators to learn from, allowing them to better understand consumers' demands and provide better service. Finally, theoretical and managerial implications are explored.     

An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation

The high contagion rates of COVID-19 and the limited amounts of vaccines forced public health authorities to develop vaccinations strategies for minimizing mortality, avoiding the collapse of health care infrastructure, and reducing their negative impacts to societies and economies. We propose a Multi Criteria Group Decision Making for prioritizing a set of COVID-19 vaccination alternatives, under a picture fuzzy environment, where the weights for Decisions Experts (DE) and criteria are unknown. A panel of six DEs assess six criteria for prioritizing four groups for vaccination. The weights for DE and criteria are handled in the form of fuzzy sets. Three types of weights are calculated: subjective, objective, and mixture weights.According to our results, three out of the six criteria hold 60% of the strategic importance: 1) allocation and distribution, 2) COVID-19 strains and 3) capabilities and infrastructures. However, persons with comorbidities became the group with the highest priority, followed by essential workers, women, and adults older than 40 years. Governments, decision makers, and policy makers can find rigorous scientific evidence for articulating effective vaccinations campaigns from this work, and contribute to minimize undesired outputs, such as high mortality rates or collapse of hospitals.