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Title: | Reducing the quantity of reworked parts in a robotic arc welding process |
Authors: | Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü. 0000-0002-4921-4275 Aksoy, Burcu Topaloğlu Orbak, Ali Yurdun M-9216-2014 26634706800 6602664966 |
Keywords: | Case study Quality Robotic arc welding Six sigma methodology Statistical tools 6 sigma Engineering Operations research & management science Cavity resonators Competition Electric arc welding Philosophical aspects Robotics Robots Welding Case study Quality Robotic arc welding Six sigma methodology Statistical tools Work simplification |
Issue Date: | Jun-2009 |
Publisher: | Wiley |
Citation: | Aksoy, B. ve Orbak, A. Y. (2009). "Reducing the quantity of reworked parts in a robotic arc welding process". Quality and Reliability Engineering International, 25(4), 495-512. |
Abstract: | Today, the competitive environment of the knowledge age has been replaced with the competitive environment of the industrial age as the rules of the business world are changing completely. The focused issue is to reach to the knowledge as soon as possible, and to process and apply it rapidly. In this context, one of the important goals that the companies try to reach in order to achieve acceleration is the six sigma philosophy. Six sigma is a fundamental continuous improvement methodology aimed at reducing the variation and waste on processes by utilizing statistical methods and techniques efficiently. Global companies are making noteworthy profits by using this method in their processes. The six sigma methodology focuses on process excellence advantages for companies that apply it, to reach profit, to increase productivity and to have larger market share. In this paper, an application of six sigma methodology for reducing the quantity of rework parts for robotic arc welding process is given. The phases of six sigma and their results are indicated in detail. Furthermore, it is also shown how various techniques of six sigma methodology are applied to achieve financial benefits. |
URI: | https://doi.org/10.1002/qre.985 https://onlinelibrary.wiley.com/doi/10.1002/qre.985 http://hdl.handle.net/11452/23354 |
ISSN: | 0748-8017 |
Appears in Collections: | Scopus Web of Science |
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