Technological Process Innovation via Engineering and Statistical Knowledge Integration

Biagio Palumbo (), Gaetano De Chiara () and Roberto Marrone ()
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Biagio Palumbo: University of Naples Federico II, Department of Aerospace Engineering
Gaetano De Chiara: Pomigliano, AVIO S.p.A., Manufacturing Technologies Department
Roberto Marrone: Pomigliano, AVIO S.p.A., Manufacturing Technologies Department

Chapter Chapter 10 in Statistics for Innovation, 2009, pp 177-190 from Springer

Abstract: Abstract This chapter shows the strategic role that a systematic approach to planning for a designed industrial experiment plays in technological process innovation. Guidelines already proposed in the literature emphasizing the pre-experimental planning phase are customized and applied in a case study concerning the laser drilling process of a combustion chamber in aerospace industry. The team approach is the real driving force for pre-experimental activities; it enables the integration of engineering and statistical knowledge, catalyzes process innovation and, moreover, it allows a virtuous cycle of sequential learning to be put into action. The innovative technological results obtained in the first screening experimental phase are presented. Since these results arise from a sound systematic approach, they enable a future experimental phase on optimization and robustness to be planned. The case study of a laser drilling process provides a best-practice guide to synergic collaboration and partnership between academic statisticians and industrial practitioners; it was developed by AVIO, an aerospace company at the leading edge of propulsion technology.

Keywords: Combustion Chamber; Sequential Learning; Recast Layer; Industrial Experiment; Laser Drilling (search for similar items in EconPapers)
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-88-470-0815-1_10

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DOI: 10.1007/978-88-470-0815-1_10

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