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Airline company's resource reallocation using network centralized data envelopment analysis with slack-based measure.
- Source :
- Journal of International Logistics & Trade; 2022, Vol. 20 Issue 4, p174-189, 16p
- Publication Year :
- 2022
-
Abstract
- Purpose - Since 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/approach - This 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 authorsmodify 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. Findings - The 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 longhaul 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-SoutheastAsian (KOR-SEA), Korean-Japanese (KOR-JPN). Originality/value - Although 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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17382122
- Volume :
- 20
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of International Logistics & Trade
- Publication Type :
- Academic Journal
- Accession number :
- 160831877
- Full Text :
- https://doi.org/10.1108/JILT-07-2022-0028