A Simplex Evolutionary Operation for Mixture Production Processes

ABSTRACT

Optimal operating conditions in mixture production processes often drift when there is a variation in the process variables or in the input components. Evolutionary operation is useful for improving online full-scale manufacturing processes by systematically changing the levels of the process variables without jeopardizing the product. This article presents an evolutionary operation procedure for large-scale mixture production processes using regular and nonregular simplexes. This article can be beneficial to practitioners who are interested in the online quality improvement of mixture production processes while maintaining the production amount of the mixture product.

KEYWORDS:

• mixture experiment
• evolutionary operation
• simplex coordinate
• mixture EVOP
• mixture manufacturing processes

ABOUT THE AUTHORS

Additional information

Funding

This work was supported by a National Research Foundation of Korea (NRF) Grant (NRF-2012K1A2B1A03000793).

Notes on contributors

Jai-Hyun Byun

Jai-Hyun Byun is a Professor at Gyeongsang National University, Korea. He received his B.S. in industrial engineering from Seoul National University and both and M.S. and Ph.D. in industrial engineering from the Korea Advanced Institute of Science and Technology, Korea. His main research interest is in the field of quality management and engineering and design of experiments.

Chi-Hwan Kim

Chi-Hwan Kim is a senior research engineer in Doosan Infracore, Korea. He received his B.S. and M.S. in Industrial engineering from Gyeongsang National University. He is currently working in the reliability center for technology improvement. His interest is in reliability and quality planning for product design.