Design of Industrial System Using Digital Numerical Control

Minh Ly Duc, Petr Bilik, Thuy Duy Truong

Abstract

Purpose: This paper would be based on applying quality 4.0 technology to mechanical factories. The overall purpose of quality 4.0 technology is to transition production lines from semi-automatic production to automatic production.


Methodology/Approach: The lean six-sigma with five phases of Define Measure Analysis Improve Control (DMAIC) would be used to measure the quality of 4.0 integration. Each phase is composed of statistical tools, hypothesis testing, experimental design, industrial tools, etc. to provide less error for precision in manufacturing control.


Findings: Results shows that scrap products decreased by 59.66% per year, the productivity of the production line assembly increased by 7.8%, and the total lead time decreased by 20 minutes. As well as the required payments and the monthly reduction of value cost of 500 USD for jig improvement, and profit is 678 USD per month and 7,636 USD per year.


Research Limitation/Implication: Gaseous hydrocarbons or organic compounds from n-hexane can be a challenge for sensors utilizing signals for researchers. Also, another issue would be the power supply output to the sensor due to external interference.


Originality/Value of paper: This research focuses on applying the usage of sensors from a semi-automatic machine tool to an automatic machine tool.

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Authors

Minh Ly Duc
minh.ld@vlu.edu.vn (Primary Contact)
Petr Bilik
Thuy Duy Truong
Author Biographies

Minh Ly Duc, Technical University of Ostrava

Technical University of Ostrava

Ostrava

Czech Republic

Petr Bilik, VSB—Technical University of Ostrava

Department of Cybernetics and Biomedical Engineering

VSB—Technical University of Ostrava

Ostrava

Czech Republic

Thuy Duy Truong, Technical University of Ostrava

Department of Applied Mathematics

Technical University of Ostrava

Czech Republic

Ly Duc, M., Bilik, P., & Duy Truong, T. . (2022). Design of Industrial System Using Digital Numerical Control. Quality Innovation Prosperity, 26(3), 135–150. https://doi.org/10.12776/qip.v26i3.1747

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