Table of Contents
Journal of Industrial Engineering
Volume 2013, Article ID 201907, 12 pages
http://dx.doi.org/10.1155/2013/201907
Research Article

Collaborative Decision-Making in Product Design: An Interactive Multiobjective Approach

1Department of Industrial Engineering, Université du Québec à Trois-Rivières, 3351 Boulevard des Forges, Trois-Rivières, QC, Canada G9A 5H7
2Department of Mathematical and Industrial Engineering, École Polytechnique de Montréal, 2900 Boulevard Édouard-Montpetit, Campus de l'Université de Montréal, Montréal, QC, Canada H3T 1J4

Received 16 August 2012; Accepted 29 October 2012

Academic Editor: C. K. Kwong

Copyright © 2013 Chantal Baril et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. R. V. Tappeta and J. E. Renaud, “Interactive multiobjective optimization procedure,” AIAA Journal, vol. 37, no. 7, pp. 881–889, 1999. View at Google Scholar
  2. V. Chankong and Y. Y. Haimes, Multiobjective Decision Making: Theory and Methodology, vol. 8 of North-Holland Series in System Science and Engineering, Elsevier, New York, NY, USA, 1983.
  3. F. Mistree, O. F. Hughes, and B. Bras, Compromise Decision Support Problem and the Adaptive Linear Programming Algorithm, Structural Optimization: Status and Promise, vol. 50 of Progress in Astronautics and Aeronautics, American Institute, Washington, DC, USA, 1993.
  4. U. Diwekar, Introduction to Applied Optimization, vol. 80, Kluwer Academic, Boston, Mass, USA, 2003.
  5. B. Suman and P. Kuman, “A survey of simulated annealing as a tool for single and multiobjective optimization,” Journal of the Operational Society, vol. 57, pp. 1143–1160, 2006. View at Publisher · View at Google Scholar
  6. A. Suppapitnarm, K. A. Seffer, and G. T. Parks, “A simulated annealing algorithm for multiobjective optimization,” Engineering Optimization, vol. 33, no. 1, pp. 59–85, 2000. View at Google Scholar
  7. M. Reyes-Sierra and C. A. Coello Coello, “Multiobjective particle swarm optimizers: a survey of state-of-the-art,” International Journal of Computational Intelligence Research, vol. 2, no. 3, pp. 287–308, 2006. View at Google Scholar
  8. C. A. C. Coello, D. A. VanVeldhuizen, and G. Lamonr, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic, Boston, Mass, USA, 2002.
  9. D. E. Salazar and C. M. Rocco, “Solving advanced multi-objective robust designs by means of multiple objective evolutionary algorithms (MOEA): a reliability application,” Reliability Engineering and System Safety, vol. 92, no. 6, pp. 697–706, 2007. View at Publisher · View at Google Scholar · View at Scopus
  10. W. Gong and Z. Cai, “An improved multiobjective differential evolution based on Pareto-adaptive ε-dominance and orthogonal design,” European Journal of Operational Research, vol. 198, no. 2, pp. 576–601, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. H. A. Taboada, F. Baheranwala, D. W. Coit, and N. Wattanapongsakorn, “Practical solutions for multi-objective optimization: an application to system reliability design problems,” Reliability Engineering and System Safety, vol. 92, no. 3, pp. 314–322, 2007. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Messac, S. M. Gupta, and B. Akbulut, “Linear physical programming: a new approach to multiple objective optimization,” Transactions on Operational Research, vol. 8, pp. 39–59, 1996. View at Google Scholar
  13. R. V. Tappeta, J. E. Renaud, A. Messac, and G. J. Sundararaj, “Interactive physical programming: tradeoff analysis and decision making in multicriteria optimization,” AIAA Journal, vol. 38, no. 5, pp. 917–926, 2000. View at Google Scholar · View at Scopus
  14. V. Vassilev, S. C. Narula, and V. G. Gouljashki, “An interactive reference direction algorithm for solving multi-objective convex nonlinear integer programming problems,” International Transactions in Operational Research, vol. 8, no. 4, pp. 367–380, 2001. View at Publisher · View at Google Scholar
  15. R. V. Tappeta and J. E. Renaud, “Interactive multiobjective optimization design strategy for decision based design,” Journal of Mechanical Design, vol. 123, no. 2, pp. 205–215, 2001. View at Google Scholar · View at Scopus
  16. K. Miettinen and M. M. Mäkelä, “Synchronous approach in interactive multiobjective optimization,” European Journal of Operational Research, vol. 170, no. 3, pp. 909–922, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. B. Abdel Haleem, A study on interactive multiple criteria decision making problems [Ph.D. thesis], Mechanical Design and Production Departement, Faculty of Engineering, Cairo University, 1991.
  18. A. Lamghabbar, S. Yacout, and M. S. Ouali, “Concurrent optimization of the design and manufacturing stages of product development,” International Journal of Production Research, vol. 42, no. 21, pp. 4495–4512, 2004. View at Publisher · View at Google Scholar · View at Scopus
  19. J. P. Dauer and R. J. Krueger, “An Iterative approach to goal programming,” Operational Research Quarterly, vol. 28, no. 3, pp. 671–681, 1977. View at Google Scholar
  20. M. S. A. Osman, “Characterization of the stability set of the first kind with parameters in the objective function,” in Proceedings of the 10th International Conference on Mathematical Programming, Montreal, Canada, 1979.
  21. A. Messac and A. Ismail-Yahaya, “Multiobjective robust design using physical programming,” Structural and Multidisciplinary Optimization, vol. 23, no. 5, pp. 357–371, 2002. View at Publisher · View at Google Scholar · View at Scopus
  22. J. Sobieszczanski-Sobieski and R. T. Haftka, “Multidisciplinary aerospace design optimization: survey of recent developments,” Structural Optimization, vol. 14, no. 1, pp. 1–23, 1997. View at Publisher · View at Google Scholar
  23. R. V. Tappeta, S. Nagendra, and J. E. Renaud, “Concurrent Sub-Space optimization (CSSO) MDO Algorithm in iSIGHT: validation and testing,” GE research & Development Center, 1998.
  24. I. Kroo, Distributed Multidisciplinary Design and Collaborative Optimization, VKI lecture series on Optimization Methods & Tools for multicriteria/multidisciplinary Design, Stanford University, 2004.
  25. J. Sobieszczanski-Sobieski, D. T. Altus, M. Philips, and R. Sandusky, “Bi-level System Synthesis (BLISS) for concurrent and distributed processing,” AIAA-2002-5409, American Institute of Aeronautics and Astronautics, 2002.
  26. R. D. Braun, Collaborative optimization: an architecture for large-scale decentralized design [Ph.D. thesis], Stanford University, Stanford, Calif, USA, 1996.
  27. H. M. Min, N. F. Michelena, P. Y. Papalambros, and T. Jiang, “Target cascading in optimal system design,” Journal of Mechanical Design, vol. 125, no. 3, pp. 474–480, 2003. View at Publisher · View at Google Scholar · View at Scopus