A SPC strategy for decision making in manufacturing processes

Authors

  • Alain Gil Del Val Public University of Navarre, Mechanical, Energy and Materials Engineering Department Campus Arrosadía, 31006, Pamplona, Spain, e-mail: alain.gil@unavarra.es http://orcid.org/0000-0003-1653-7702
  • Bartosz Sawik AGH University of Science and Technology, Faculty of Management Mickiewicza 30, Krakow, Poland
  • Alba Agustín Public University of Navarre, Institute of Smart Cities, Integrated Group of Logistics and Transportation, Pamplona, Spain.
  • Javier Faulín Public University of Navarre, Institute of Smart Cities, Integrated Group of Logistics and Transportation, Pamplona, Spain.
  • Pedro María Diéguez

DOI:

https://doi.org/10.7494/dmms.2019.13.1-2.2778

Keywords:

tapping, SPC, decision, quality, PCA

Abstract

Tapping is an extensively employed manufacturing process by which a multi-teeth tool, known as tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn the process is usually in control and the geometry of the resulting threads on the work piece is correct. But as the tap wear increases the thread geometry deviates progressively from the correct one and eventually the screw threads become unacceptable.

The aim of this paper consists on a development of statistical process control strategy for decision making according to data coming from the current signal of the tap spindle for assessing thread quality. It could operate on line and indicates when the tap wear is so critical that, if the process were continued, it would result in unacceptable screw threads. The system would be very cost-effective since the tapping process could be run without any operator intervention.

Author Biography

Pedro María Diéguez

Public University of Navarre, Mechanical, Energy and Materials Engineering Department Campus Arrosadía, 31006, Pamplona

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Published

2020-04-27

How to Cite

Gil Del Val, A., Sawik, B., Agustín, A., Faulín, J., & Diéguez, P. M. (2020). A SPC strategy for decision making in manufacturing processes. Decision Making in Manufacturing and Services, 13. https://doi.org/10.7494/dmms.2019.13.1-2.2778

Issue

Vol. 13 (2019): No. 1-2

Section

Articles

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Licencja Creative Commons
The content of the journal is freely available according to the Creative Commons License Attribution 4.0 International (CC BY 4.0)

Received 2018-01-30
Accepted 2019-07-22
Published 2020-04-27