See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/228368950 Application of decision analysis to milling profit maximisation: An introduction Article in International Journal of Materials and Product Technology · May 2009 DOI: 10.1504/IJMPT.2009.025220 CITATIONS READS 10 127 6 authors, including: Raul Zapata Tony L. Schmitz United States Navy University of North Carolina at Charlotte 20 PUBLICATIONS 81 CITATIONS 254 PUBLICATIONS 2,714 CITATIONS SEE PROFILE SEE PROFILE All content following this page was uploaded by Tony L. Schmitz on 21 May 2014. The user has requested enhancement of the downloaded file. 64 Int. J. Materials and Product Technology, Vol. 35, Nos. 1-2, 2009 ) Application of decision analysis to milling profit maximisation: an introduction A.E. Abbas and L. Yang Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, 117 Transportation Building, MC-238, Urbana, IL 61801, USA E-mail:
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[email protected] R. Zapata and T.L. Schmitz* Department of Mechanical and Aerospace Engineering, University of Florida, 237 MAE-B, Gainesville, FL 32611, USA E-mail:
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[email protected] *Corresponding author Abstract: This paper describes the application of decision analysis to milling optimisation. In this initial study we include the effects of uncertainty in tool life and force model coefficients. The decisions represent the milling operating parameters. A single-attribute value function is used to maximise profit. Stability of the milling operation, surface location error, and surface roughness pose constraints on the feasible decision alternatives.