Airline company's resource reallocation using network centralized data envelopment analysis with slack-based measure

Q3 Economics, Econometrics and Finance Journal of International Logistics and Trade Pub Date : 2022-12-01 DOI:10.1108/jilt-07-2022-0028
Chae-Il Lim, Gyuseung Kim, H. Ha
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Abstract

PurposeSince airlines that employ their resources effectively will achieve operating profitability, air route resource allocation is significant for airlines. This study aims to investigate an appropriate model to reallocate resources into each air route of an airline company.Design/methodology/approachThis study proposes a network centralized data envelopment analysis (DEA) models with slack-based measure (SBM). The proposed model not only takes into account the two interconnected stages but also considers the nonradial approach with transfer-in and transfer-out slacks for resource reallocating. Furthermore, the authors modify the objective function to an input-oriented function with SBM, and divide the model into passenger and freight parts, which makes the model more realistic for the characteristic of air routes.FindingsThe empirical analysis using an airline company's internal data provides airline operators with information on how they increase or decrease input resources, which can serve as a practical guideline of resource reallocation. Specifically, the results indicate that the airline company should increase their input resources into long-haul air routes such as KOR-OCN while decreasing their input resources into short-haul air routes such as Korean-Oceania (KOR-OCN), Korean-Chinese (KOR-CHN), Korean-Southeast Asian (KOR-SEA), Korean-Japanese (KOR-JPN).Originality/valueAlthough some papers evaluate air route efficiencies based on the DEA approach, a few existing papers have addressed resource allocation for air routes. This paper is the first to study the resource reallocation for air routes based on the DEA approach, contributing to the literature in expanding the scope of research on resource reallocation.
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基于松弛测度的网络集中数据包络分析在航空公司资源再分配中的应用
目的由于航空公司有效利用其资源将实现运营盈利,因此航线资源分配对航空公司来说意义重大。本研究旨在研究一个适当的模型,将资源重新分配到航空公司的每条航线上。设计/方法论/方法本研究提出了一种基于松弛测度(SBM)的网络集中式数据包络分析(DEA)模型。该模型不仅考虑了两个相互关联的阶段,而且考虑了具有调入和调出松弛的非径向方法来进行资源再分配。此外,作者用SBM将目标函数修改为面向输入的函数,并将模型分为客运和货运两部分,使模型更符合航线的特点。发现利用航空公司内部数据进行的实证分析为航空公司运营商提供了如何增加或减少投入资源的信息,这可以作为资源再分配的实用指南。具体而言,研究结果表明,航空公司应增加对KOR-OCN等长途航线的投入资源,同时减少对朝鲜-大洋洲(KOR-OCN)、朝鲜-中国(KOR-CHN)、韩国-东南亚(KOR-SEA)等短途航线的投入资源,韩日(KOR-JPN)。原创性/价值尽管一些论文基于DEA方法评估航线效率,但一些现有论文已经讨论了航线的资源分配。本文首次基于DEA方法对航线资源再分配进行了研究,为文献拓展资源再分配的研究范围做出了贡献。
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来源期刊
Journal of International Logistics and Trade
Journal of International Logistics and Trade Business, Management and Accounting-Marketing
CiteScore
2.60
自引率
0.00%
发文量
6
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