Sensitivity analysis as a support for optimization of industrial processes
AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Kraków, Poland.
DOI:
https://doi.org/10.7494/cmms.2014.1.0479
Abstract:
The problem of optimization of industrial processes consisting of a series of forming operations which define the production cycle, is considered in the paper. Optimization of production cycles is a hard task due to the large number of control variables, mutually exclusive or contradictory objective functions formulated at the production stages and numerical complexity of the process models. Application of sensitivity analysis is one of the solution to reduce the problem. Various methods of global sensitivity analysis were presented in the paper. The procedures were applied to the selected industrial processes: the final part of the manufacturing chain for anchors and controlled cooling of rails. The most important parameters of the processes were determined. The sensitivity analysis results were presented and discussed in the paper.
Cite as:
Szeliga, D., & Kusiak, J. (2014). Sensitivity analysis as a support for optimization of industrial processes. Computer Methods in Materials Science, 14(1), 94 -98. https://doi.org/10.7494/cmms.2014.1.0479
Article (PDF):

Keywords:
Sensitivity analysis, Optimization, Simulation of industrial processes
Publication dates:
Received: 03.01.2014, accepted: 08.01.2014, published:
Publication type:
Original scientific paper
References:
Kuziak, R., Molenda, A. Wrożyna, J. Kusiak, M. Pietrzyk, 2014, O H Experimental verification and validation of the phase transformation model used for optimization of heat M treatment of rails, Computer Methods in Materials Science, 14 (1), 53-63.
Myczkowska, K., Szeliga, D., Kusiak, J., 2011, Analiza wrażliwości cyklu chłodzenia dla stali dwufazowych, Rudy O Metale Nieżelazne, 56, 692–696. C
Morris, M.D., 1991, Factorial sampling plans for preliminary computational experiments, Technometrics, 33, 161-174. – 98
Legwand, A., Perzyński, K., Madej, Ł., Pietrzyk, M., 2014, Approach for an automatic optimisation of production chain as a tool for intelligent manufacturing in metal (1), 64-74.
Saltelli, A., Chan, K., Scott, E.M., 2000, Sensitivity analysis, Wiley, New York.
Skóra, M., Pietrzyk, M., 2014, Proper assembly and geometrical parameters as a criterion for the computer-aided design of manufacturing cycle for screws, Computer Methods in Materials Science, 14, (1), 75-85.
Szeliga, D., 2011, Application of sensitivity analysis – prelimi- nary step of the process parameters estimation, Proc. XI Conf. COMPLAS, eds, Oñate, E., Owen, D.R.J., Peric, D., Suarez, B., Barcelona, 1359-1367, (e-book).
Szeliga, D., 2012, Selection of the appropriate phase transformation model for design of laminar cooling and continuous annealing of DP steels, Computer Methods in Materials Science, 12, 70-84.
Szeliga, D., 2013, Identification problems in metal forming. A comprehensive study, publ. AGH University of Science and Technology, no. 291, Kraków.