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29. Big Data Visualization to Unveil Key Differentiated Service Dimensions of the Airlines Performances in COVID-19 Aftermath
Invited abstract in session TB-54: Airplane Boarding, stream Public Transport Optimization.
Tuesday, 10:30-12:00Room: S01 (building: 101)
Authors (first author is the speaker)
| 1. | Praowpan Tansitpong
|
| NIDA Business School, National Institute of Development Administration |
Abstract
This study explores how operational decisions regarding a quality-differentiated product line determines the overall success of a multiproduct planning in airline market by using optimized integrated gradients of global airline industry from 2012-2022. Data visualization techniques are assigned to define contours and color shades in product and service design due to seat configuration, space allocation, seat design in time variants. In order to understand product variety dimensions, airline decisions are sliced into multiple cubic dimensions and assigned into different contoured colors, due to constrained in capacity in cabin deck and seat options, the density of colors returns individual decision made by each airline for given origin-destination of flight operations. The results suggested that critical areas of optimal product line choice are dependent not only on price discrimination and segmentation strategy, but the airlines with efficient aircraft layout favors service differentiation strategy in order to perform well in the airline market. The study reveals the interconnected relationship between constraint decisions and operational outcomes, shedding light on how factors such as space for passenger interactions, efficient seat configuration design, and in-flight seat design collectively impact both market share and load factors.
Keywords
- Airline Applications
- Service Operations
- OR and the Arts
Status: accepted
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