Abstract
In order to manage and control the quality of products in a real-time manner, a statistical process control methodology, one of the most popular quality control activities, is utilized as a software service in many manufacturing industries. However, these quality control systems are not affordable to small and medium sized industries due to their expense in installation, difficulty, inflexibility and lack of post management in the systems. To satisfy all the various requested given by the enterprises, we propose a customizable web-based process analysis system with user-centered design that enables continuous process management. The methodologies for constructing such a customizable web-based process analysis system are suggested first. Then, these methodologies are implanted into the suggested system, Process analysis system (PAS) and each process is described in detail. PAS is utilized in the concrete manufacturing process to observe a continuous process improvement. Lastly, the suggestions for PAS in future are discussed in this paper.
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Recommended by Editor Haedo Jeong
Young Whun Chang received a master’s degree in Mechanical Engineering in Yonsei University, Seoul, Korea. His B.S. is from the University of Illinois at Urbana-Champaign in 2011. His current research is related in Manufacturing Execution System, Statistical Process Control System, CAD/ CAM and Collaborative Design.
Soo-Hong Lee is a Full-Time Professor at the Department of Mechanical Engineering in Yonsei University in Seoul, Korea. He received his B.S. in Mechanical Engineering at Seoul National University in 1981 and his M.S. in Mechanical Engineering Design there in 1983. His Ph.D. is from Stanford University, California, USA in 1991. His current research interests include Intelligent CAD, Knowledge-based Engineering Design, Concurrent Engineering, Product Design Management, Product Lifecycle Management, Artificial Intelligence in Design, and Design Automation.
Hye Min Cha is a graduate student at the Department of Integrated Engineering in Yonsei university in Seoul, Korea. She received her B.S. in Mechanical Engineering and Department of Human Environment Design in Yonsei University in 2016. Her current research is related in machine learning, Knowledge-based Engineering Design, CAD/CAM and concurrent design.
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Chang, Y.W., Lee, SH. & Cha, H.M. Development of a customizable web-based process analysis system for continuous process management. J Mech Sci Technol 31, 3481–3487 (2017). https://doi.org/10.1007/s12206-017-0637-8
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DOI: https://doi.org/10.1007/s12206-017-0637-8