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 , Public University of Navarre image/svg+xml , Tecnalia image/svg+xml
  • Bartosz Sawik AGH University of Science and Technology, Faculty of Management Mickiewicza 30, Krakow, Poland , AGH University of Krakow image/svg+xml https://orcid.org/0000-0001-5748-3961
  • Alba Agustín Public University of Navarre, Institute of Smart Cities, Integrated Group of Logistics and Transportation, Pamplona, Spain. , Public University of Navarre image/svg+xml
  • Javier Faulín Public University of Navarre, Institute of Smart Cities, Integrated Group of Logistics and Transportation, Pamplona, Spain. , Public University of Navarre image/svg+xml https://orcid.org/0000-0002-2613-6155
  • Pedro María Diéguez Public University of Navarre image/svg+xml

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 a tap, cuts a mating thread when driven into a hole. When taps are new or slightly worn, the process is under control and the geometry of the resulting threads on the workpiece 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 is to outline the development of a statistical process control strategy for decision making based on 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
    Public University of Navarre, Mechanical, Energy and Materials Engineering Department Campus Arrosadía, 31006, Pamplona

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Published

2020-04-27

Issue

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

Section

Articles

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, 5-15. https://doi.org/10.7494/dmms.2019.13.1-2.2778

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