Layers of Experiments with Adaptive Combined Design |
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| Authors: | Sungil Kim Heeyoung Kim Jye‐Chyi Lu Michael J. Casciato Martha A. Grover Dennis W. Hess Richard W. Lu Xin Wang |
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| Affiliation: | 1. H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, USA;2. Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejon, Republic of Korea;3. School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, USA |
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| Abstract: | In the field of nanofabrication, engineers often face unique challenges in resource‐limited experimental budgets, the sensitive nature of process behavior with respect to controllable variables, and highly demanding tolerance requirements. To effectively overcome these challenges, this article proposes a methodology for a sequential design of experiments through batches of experimental runs, aptly named Layers of Experiments with Adaptive Combined Design (LoE/ACD). In higher layers, where process behavior is less understood, experimental regions cover more design space and data points are more spread out. In lower layers, experimental regions are more focused to improve understanding of process sensitivities in a local, data‐rich environment. The experimental design is a combination of a space‐filling and an optimal design with a tuning parameter that is dependent on the amount of information accumulated over the various layers. The proposed LoE/ACD method is applied to optimize a carbon dioxide (epet‐CO2) assisted deposition process for fabricating silver nanoparticles with pressure and temperature variables. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 127–142, 2015 |
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| Keywords: | bootstrap experimental design physical experiment response surface method |
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