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Statistical Approach for Monitoring the Lack of Quality in Aerospace Manufacturing Operations

  • Universidad Internacional de La Rioja
  • AGH University of Science and Technology
  • University of California at Berkeley
  • Public University of Navarre

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Mitigating the number of defective parts in the aerospace sector presents an excellent challenge, particularly during the final stages of manufacturing operations. The final processes are critical, and stringent cutting conditions are enforced due to the added value of the manufactured components. Furthermore, the manufacturing batches are either unique or composed of a limited number of units. Therefore, reducing waste and manufacturing time rates is imperative to maintaining competitiveness in the aerospace market. The study proposes developing a robust statistical strategy capable of predicting the lack of quality in industrial components. This strategy must consider that it is a final operation in the manufacturing cell and that industrial production batches are small-scale and tailored to the aerospace sector.

Original languageEnglish
Title of host publicationSpringer Aerospace Technology
PublisherSpringer Science and Business Media Deutschland GmbH
Pages35-42
Number of pages8
DOIs
Publication statusPublished - 2025

Publication series

NameSpringer Aerospace Technology
VolumePart F846
ISSN (Print)1869-1730
ISSN (Electronic)1869-1749

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • PCA
  • Quality
  • SPC
  • Tapping
  • Thread

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