Assessing airline efficiency with a network DEA model: A Z-number approach with shared resources, undesirable outputs, and negative data

IF 6.2 2区 经济学 Q1 ECONOMICS
Zijiang Yang , Hashem Omrani , Raha Imanirad
{"title":"Assessing airline efficiency with a network DEA model: A Z-number approach with shared resources, undesirable outputs, and negative data","authors":"Zijiang Yang ,&nbsp;Hashem Omrani ,&nbsp;Raha Imanirad","doi":"10.1016/j.seps.2024.102080","DOIUrl":null,"url":null,"abstract":"<div><div>This study measures the efficiency of airlines using a novel fuzzy common weight additive network data envelopment analysis (NDEA) with shared resources, negative data, and undesirable outputs. First, an appropriate two-stage network is designed for each airline so that stages 1 and 2 are called the Production and Service stages, respectively. The proposed model adopts a top-down approach and calculates the efficiency of the system first and then estimates the efficiency of stages 1 and 2. To evaluate and predict the airlines’ efficiency considering fuzzy data and the reliability of the information, the values of input/intermediate/output variables are predicted as the Z-number and the appropriate Z-number version of NDEA (ZNDEA) models is proposed. To develop the proposed ZNDEA models and find common weights for the variables, three multi-objective ZNDEA models for the system, stage 1 and stage 2 are presented. The multi-objective common weight ZNDEA models are solved using the min-max Chebyshev goal programming technique and the final efficiencies are calculated. To illustrate the capability of the proposed approach, real-life data from Iranian airlines in 2022 are collected, and the efficiencies are analyzed.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102080"},"PeriodicalIF":6.2000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Socio-economic Planning Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0038012124002805","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This study measures the efficiency of airlines using a novel fuzzy common weight additive network data envelopment analysis (NDEA) with shared resources, negative data, and undesirable outputs. First, an appropriate two-stage network is designed for each airline so that stages 1 and 2 are called the Production and Service stages, respectively. The proposed model adopts a top-down approach and calculates the efficiency of the system first and then estimates the efficiency of stages 1 and 2. To evaluate and predict the airlines’ efficiency considering fuzzy data and the reliability of the information, the values of input/intermediate/output variables are predicted as the Z-number and the appropriate Z-number version of NDEA (ZNDEA) models is proposed. To develop the proposed ZNDEA models and find common weights for the variables, three multi-objective ZNDEA models for the system, stage 1 and stage 2 are presented. The multi-objective common weight ZNDEA models are solved using the min-max Chebyshev goal programming technique and the final efficiencies are calculated. To illustrate the capability of the proposed approach, real-life data from Iranian airlines in 2022 are collected, and the efficiencies are analyzed.
利用网络 DEA 模型评估航空公司效率:具有共享资源、不良产出和负面数据的 Z 数字方法
本研究采用新颖的模糊共权相加网络数据包络分析法(NDEA),在共享资源、负数据和不良产出的情况下衡量航空公司的效率。首先,为每家航空公司设计一个适当的两阶段网络,将第 1 和第 2 阶段分别称为生产阶段和服务阶段。建议的模型采用自上而下的方法,首先计算系统效率,然后估算阶段 1 和阶段 2 的效率。为了评估和预测航空公司的效率,考虑到模糊数据和信息的可靠性,输入/中间/输出变量的值被预测为 Z 数,并提出了适当的 Z 数版 NDEA(ZNDEA)模型。为了开发所提出的 ZNDEA 模型并找到变量的共同权重,提出了系统、阶段 1 和阶段 2 的三个多目标 ZNDEA 模型。多目标共同权重 ZNDEA 模型采用最小-最大切比雪夫目标编程技术求解,并计算出最终效率。为说明所提方法的能力,收集了 2022 年伊朗航空公司的实际数据,并对效率进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Socio-economic Planning Sciences
Socio-economic Planning Sciences OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
9.40
自引率
13.10%
发文量
294
审稿时长
58 days
期刊介绍: Studies directed toward the more effective utilization of existing resources, e.g. mathematical programming models of health care delivery systems with relevance to more effective program design; systems analysis of fire outbreaks and its relevance to the location of fire stations; statistical analysis of the efficiency of a developing country economy or industry. Studies relating to the interaction of various segments of society and technology, e.g. the effects of government health policies on the utilization and design of hospital facilities; the relationship between housing density and the demands on public transportation or other service facilities: patterns and implications of urban development and air or water pollution. Studies devoted to the anticipations of and response to future needs for social, health and other human services, e.g. the relationship between industrial growth and the development of educational resources in affected areas; investigation of future demands for material and child health resources in a developing country; design of effective recycling in an urban setting.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信