Six-sigma Methodologies in Airlines Operations

In this paper, we illustrate the key improvement indicators, their performance variance, and their respective financial impacts on airline operations. Through the six sigma process improvement methodology (DMAIC), this paper presents the passengers’ expectations, current performance level, compensation expenses due to nonconformities, root causes of the nonconformities, and means to reduce performance variance and improve process to achieve cost savings. The research methods consist of data collection from several sources such as SITA, U.S. Aviation consumer reports, Aviation accident statistics from multiple sources. Our results indicate airlines can save billions of dollars annually once six sigma operational processes are reached.

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Publication Details

Journal
Vikalpa The Journal for Decision Makers
Published
2024-12-01
DOI
https://doi.org/10.1177/02560909241296962
Citations
1
Primary Topic
Aviation Industry Analysis and Trends
Type
article
Field-Weighted Citation Impact
0.83
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article

Six-sigma Methodologies in Airlines Operations

Ramesh Bollapragada, В. Ф. Чан
1 citations
Vikalpa The Journal for Decision Makers
Aviation Industry Analysis and Trends
0.83
article

Six-sigma Methodologies in Airlines Operations

Ramesh Bollapragada, В. Ф. Чан
article en
1 citations

Abstract

In this paper, we illustrate the key improvement indicators, their performance variance, and their respective financial impacts on airline operations. Through the six sigma process improvement methodology (DMAIC), this paper presents the passengers’ expectations, current performance level, compensation expenses due to nonconformities, root causes of the nonconformities, and means to reduce performance variance and improve process to achieve cost savings. The research methods consist of data collection from several sources such as SITA, U.S. Aviation consumer reports, Aviation accident statistics from multiple sources. Our results indicate airlines can save billions of dollars annually once six sigma operational processes are reached.

Vikalpa The Journal for Decision MakersVol. 49(4)
San Francisco State University (US)
Openalex Percentile: Top 20%
Aviation Industry Analysis and Trends
0.83
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