Development of Measurement Tools A Case Study Automotive Wire Harness Manufacturer
Article Sidebar
Main Article Content
Abstract
This research presented and studied the Measurement System Analysis: MSA as the foundation of a strategy for improvement of any process with extensively applied QC tool. The experiment was performed in a real-time production process with Product A in a case study of an electric wire manufacturer’s company, operating its business in a highly competitive condition. It had products of auto-motive’s electric wire set with high flexibility, which may be highly mistaken from the measurement system. Therefore, this research examined causes and factors affecting the measurement system, and contributing to change in any parameters including accuracy, precision and stability with effects on quality cost and confidence of customers with the company. Gage R&R Measurement System Analysis: MSA was employed in this study provided the company was pressured to manufacture a high-quality product with lowest cost. According to the analysis result, the researcher would like to propose a guideline for improvement by providing a measurement board for the auto-motive’s electric wires instead of the traditional measurement method. The findings revealed that %P/T (Precision to Tolerance) %Tolerance (SV/Toler) decreased from 55.84% to 28.54%, indicating that the measurement system was applicable in detecting variance of the process, resulting in greater efficiency of the measurement system.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The manuscript, information, content, picture and so forth which were published on Journal of Engineering, RMUTT has been a copyright of this journal only. There is not allow anyone or any organize to duplicate all content or some document for unethical publication.
References
Huong Giang Nguyen, Marlene Kuhn, Jörg Franke. Manufacturing automation for automotive wiring harnesses. Procedia CIRP. 2021;97:379-84.
Pop LD, Elod NJPT. Improving a measuring system according to ISO/TS 16949. Elsevier. 2015;19:1023-30
Van Den Berg T, La Rocca G, van Tooren M, editors. Automatic flattening of three-dimensional wiring harnesses for manufacturing. Proceedings of the 28th Congress of the International Council of the Aeronautical Sciences, Brisbane, Australia; 2012.
Palomba I, Gualtieri L, Rojas R, Rauch E, Vidoni R, Ghedin AJR. Mechatronic Re-Design of a Manual Assembly Workstation into a Collaborative One for Wire Harness Assemblies. Robotics. 2021;10(1):43.
Rius Rueda A. A novel optimization methodology of modular wiring harnesses in modern vehicles: weight reduction and safe operation. 2017
Jain A. A case study on measurement system analysis (MSA) at a pump company. International Research Journal of Engineering and Technology (IRJET). 2017;4(5):1567-71.
Simion C, editor Evaluation of an attributive measurement system in the automotive industry. IOP Conference Series: Materials Science and Engineering; 2016: IOP Publishing.
Yadav A. Measurement systems analysis and a study of anova method. International Journal of Research in Engineering and Technology 2016;05(02):123-7
Sarkar A, Mukhopadhyay AR, Ghosh SK. Measurement system analysis for implementing design for Six Sigma. International Journal of Productivity Quality Management. 2014;14(3):373-86.
Klaput P, Vykydal D, Tošenovský F, Halfarová P, Plura JJM. Problems of application of measurement system analysis (MSA) in metallurgical production. Metalurgija. 2016;55(3):535-7
Glavan LM. Understanding process performance measurement systems. business systems research. 2011;2(2):1-56.
Pai F-Y, Yeh T-M, Hung Y-HJS. Analysis on accuracy of bias, linearity and stability of measurement system in ball screw processes by simulation. Sustainability. 2015;7(11):15464-86.
Cepova L, Kovacikova A, Cep R, Klaput P, Mizera O. Measurement system analyses–Gauge repeatability and reproducibility methods. Measurement Science Review. 2018;18(1):20-7.
Abdelgadir M, Gerling C, Dobson J. Variable data measurement systems analysis: advances in gage bias and linearity referencing and acceptability. International Journal of Metrology Quality Engineering. 2020;11:16.
Gerger A. Conducting a gage R & R study: an application example in automotive industry. Journal of Economics and Social Research Ekonomi ve Sosyal Araştırmalar Dergisi. 2021;8(15):1-17.
Measurement System Analysis 4th edition, AIAG, FigureI-E 3: Impact of Number of Distinct Categories (NDC) of the Process Distribution on Control and Analysis Activities. p. 47.
Yu J, editor Research on bias and linearity analysis of MEMS measurement system based on minitab. Advanced Materials Research; 2012: Trans Tech Publ.