An innovative approach for planning and execution of pre-experimental runs for Design of Experiments

• Muhammad Arsalan Farooq ^[1] ; Henriqueta Nóvoa ^[1] ; António Araújo ^[1] ; Sergio M.O. Tavares ^[2]
  1. [1] Universidade Do Porto

     Universidade Do Porto

     Santo Ildefonso, Portugal

     
  2. [2] Institute of Mechanical Engineering and Industrial Management – INEGI
• Localización: European Research on Management and Business Economics, ISSN 2444-8834, Vol. 22, Nº. 3, 2016, págs. 155-161
• Idioma: inglés
• DOI: 10.1016/j.iedee.2014.12.003
• Enlaces
  • Texto completo (pdf)
• Resumen

  • This paper addresses the study of the pre-experimental planning phase of the Design of Experiments (DoE) in order to improve the final product quality. The pre-experimental planning phase includes a clear identification of the problem statement, selection of control factors and their respective levels and ranges. To improve production quality based on the DoE a new approach for the pre-experimental planning phase, called Non-Conformity Matrix (NCM), is presented. This article also addresses the key steps of the pre-experimental runs considering a consumer goods manufacturing process. Results of the application for an industrial case show that this methodology can support a clear definition of the problem and also a correct identification of the factor ranges in particular situations. The proposed new approach allows modeling the entire manufacturing system holistically and correctly defining the factor ranges and respective levels for a more effective application of DoE. This new approach can be a useful resource for both research and industrial practitioners who are dedicated to large DoE projects with unknown factor interactions, when the operational levels and ranges are not completely defined.

• Referencias bibliográficas
  • Antony, J., Improving the wire bonding process quality using statistically designed experiments. Microelectronics Journal 30:2 (1999), 161–168.
  • Browning, T.R., Applying the design structure matrix to system decomposition and integration problems: a review and new directions. IEEE Transactions...
  • Coleman, D.E., Montgomery, D.C., Industrial experiment a systematic approach to planning for a designed industrial experiment. Technometrics,...
  • Czitrom, V., Guidelines for selecting factors and factor levels for an industrial designed experiment. Handbook of Statistics, 2003, 3–32.
  • Eppinger, S.D., Browning, T.R., Design structure matrix methods and applications. 2012, MIT Press, Cambridge, MA.
  • Fahmy, R., Kona, R., Dandu, R., Xie, W., Claycamp, G., Hoag, S., Quality by design I: Application of failure mode effect analysis (FMEA) and...
  • Farooq, A., Tavares, S.M.O., Nóvoa, H., Araújo, A., Evaluation of a Non-Conformity Matrix complexity using components modularity metrics....
  • Farooq, A., Tavares, S.M.O., Nóvoa, H., Araújo, A., An application of Knowledge Management in Design Structure Matrix for a process improvement...
  • Fowlkes, W.Y., Creveling, C.M., Engineering methods for robust product design: Using taguchi methods in technology and product development....
  • Hassan, A., Siadata, A., Dantana, J.-Y., Martina, P., Conceptual process planning – An improvement approach using QFD, FMEA, and ABC methods....
  • Javorsky, J., Franchetti, M., Zhang, H., Determining the optimal parameters of bonding polyvinylchloride to stainless steel in automotive...
  • Konda, R., Guha, A., Design of experiments to study and optimize process performance. International Journal of Quality & Reliability Management...
  • Montgomery, D.C., Design and analysis of experiments. 7th ed., 2008, Wiley, New York.
  • Montgomery, D.C., Keatsa, J.B., Perrya, L.A., Thompsonb, J.R., Messinab, W.S., Using statistically designed experiments for process development...
  • Subulan, K., Cakmakci, M., A feasibility study using simulation-based optimization and Taguchi experimental design method for material handling—Transfer...
  • Taguchi, G., Chowdhury, S., Wu, Y., Taguchi's quality engineering handbook. 2005, John Wiley & Sons, Inc., Hoboken, NJ.
  • Tavares, S.M.O., Farooq, A., Araújo, A., Nóvoa, H., Application of non-conformity matrix to predict system interactions in complex quality...