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Product Design Compromise Using Consensus Models

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Consensual Processes

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 267))

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Abstract

Obtaining a group consensus is a critical step in making effective business decisions. In this chapter the consensus process is defined as a dynamic and interactive group decision process, which is coordinated by a moderator, who helps the experts to gradually move their opinions until a consensus is reached. This paper describes the importance of group consensus and the need to minimize the cost of this process. Moreover, this work focuses on product design compromise and discusses how group consensus can be used in this process. The paper demonstrates the importance of the consensus process to the product design compromise process and presents several models that can be used to obtain such a compromise.

The paper discusses the costs associated with decision making using group consensus, and then describes three methods of reaching a minimum cost consensus assuming quadratic costs for a single criterion decision problem. The first method finds the group opinion (consensus) that yields the minimum cost of reaching throughout the group. The second method finds the opinion with the minimum cost of the consensus providing that all experts must be within a given threshold of the group opinion. The last method finds the maximum number of experts that can fit within the consensus, given a specified budget constraint.

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References

  1. Curtis, T.: Technology Driven or Market Led. Engineering Management Journal 10(4), 197–204 (2000)

    Article  Google Scholar 

  2. Duverlie, P., Castelain, J.M.: Cost Estimation During Design Step: Parametric Method Versus Case Based Reasoning Method. The International Journal of Advanced Manufacturing Technology 15, 895–906 (1999)

    Article  Google Scholar 

  3. Eng Shwe Sein Aye, H., Young-Jou, L., Shing, I.C.: An Integrated Group Decision Making Approach to Quality Function Deployment. IIE Transactions 31, 553–567 (1999)

    Google Scholar 

  4. Griffin, R.W.: Management, 8th edn. Houghton Mifflin Company, Boston (2005)

    Google Scholar 

  5. Hartman, F.T., Baldwin, A.: Using Technology to Improve Delphi Method. Journal of Computing in Civil Engineering 9(4), 244–249 (1995)

    Article  Google Scholar 

  6. Herrera-Viedma, E., Herrera, F., Chiclana, F.: A Consensus Model for Multiperson Decision Making Under Different Preference Structures. IEEE Transactions on Systems, Man and Cybernetics, Part A 32(3), 394–402 (2002)

    Article  Google Scholar 

  7. Iranmanesh, S.H., Thomson, V., Salimi, M.H.: Design Parameter Estimation using a Modified QFD Method to Improve Customer Perception. Concurrent Engineering: Research and Applications 13(1), 57–67 (2005)

    Article  Google Scholar 

  8. Jiao, J., Zhang, Y.: Product Portfolio Planning with Customer-Engineering Interaction. IIE Transactions 37, 801–814 (2005)

    Article  Google Scholar 

  9. Khoshnevis, B., Park, J.Y., Sormaz, D.: A Cost Based System for Concurrent Part and Process Design. The Engineering Economist 40(1), 101–124 (1994)

    Article  Google Scholar 

  10. Koufteros, X., Vondermbse, M., Jayaram, J.: Internal and External Integration for Product Development: The Contingency Effects of Uncertainty, Equivocality, and Platform Strategy. Decision Sciences 36(1), 97–133 (2005)

    Article  Google Scholar 

  11. Kwok, C.-W.R., Ma, J., Zhou, D.: Improving Group Decision Making: A Fuzzy GSS Approach. IEEE Transactions on Systems, Man and Cybernetics, Part C 32(1), 54–63 (2002)

    Article  Google Scholar 

  12. Lee, J.: Design Rationale Systems: Understanding The Issues. IEEE Intelligent Systems and Their Applications 12(3), 78–85 (1997)

    Google Scholar 

  13. Leon, R.V., Wu, C.F.J.: A Theory of Performance Measures in Parameter Design. Statistica Sinica 2, 335–358 (1992)

    MATH  MathSciNet  Google Scholar 

  14. Miguel, P.A.C.: Evidence of QFD best practices for product development: a multiple case study. International Journal of Quality and Reliability Management 22(1), 72–82 (2005)

    Article  Google Scholar 

  15. Molavi, J.M., McCall, R., Songer, A.: A New Approach to Effective Use of Design Rationale in Practice. Journal of Architectural Engineering 9(2), 62–69 (2003)

    Article  Google Scholar 

  16. Moorhead, P.R., Wu, C.F.J.: Cost-Driven Parameter Design. Technometrics 40(2), 111–119 (1998)

    Article  MathSciNet  Google Scholar 

  17. Ness, J., Hoffman, C.: Putting sense into consensus: solving the puzzle of making team decisions. Vista Associates, Tacoma, Wash (1998)

    Google Scholar 

  18. Politis, J.D.: QFD, Organisational creativity and productivity. International Journal of Quality and Reliability Management 22(1), 59–71 (2005)

    Article  Google Scholar 

  19. Reppel, A.E., Szmigan, I., Gruber, T.: The iPod phenomenon: identifying a market leader’s secrets through qualitative marketing research. Journal of Product and Brand Management 15(4), 239–249 (2006)

    Article  Google Scholar 

  20. ReVelle, J.B., Moran, J.W., Cox, C.A.: QFD Handbook. Wiley, New York (1998)

    Google Scholar 

  21. Seidenfeld, T., Schervish, M.J.: Two Perspectives on Consensus for (Baysian) Inference and Decisions. IEEE Transactions on Systems, Man and Cybernetics 20(1), 318–325 (1990)

    Article  MATH  MathSciNet  Google Scholar 

  22. Shanteau, J.: What does it mean when experts disagree? In: Klein, G., Salas, E. (eds.) Naturalistic Decision Making, Lawrence Erlbaum Associates, Hillsdale (2001)

    Google Scholar 

  23. Shanteau, J., Weiss, D., Thomas, R.P., Pounds, J.C.: Performance based assessment of expertise: How to decide if someone is an expert or not. European Journal of Operational Research 136, 253–263 (2002)

    Article  MATH  Google Scholar 

  24. Shehab, E., Abdalla, H.: An Intellegent Knowledge based System for Product Cost Modelling. The International Journal of Advanced Manufacturing Technology 19, 49–65 (2002)

    Article  Google Scholar 

  25. Smith, A.E., Mason, A.K.: Cost Estimation Predictive Modeling: Regression Versus Neural Network. The Engineering Economist 42(2), 137–161 (1997)

    Article  Google Scholar 

  26. Susskind, L., McKearnan, S., Thomas-Larmer, J.: The Consensus Building Handbook. Sage Publications Inc., Thousand Oaks (1999)

    Google Scholar 

  27. Teltumbde, A.: A Framework for evaluating ERO Projects. International Journal of Production Research 38(17), 4507–4520 (2000)

    Article  Google Scholar 

  28. Ullman, D.G., D’Ambrosio, B.: An Introduction to the consensus model of engineering design decision making. Interactive and Mixed-Initiative Decision Theoretic Systems, 131–139 (1995)

    Google Scholar 

  29. Van Der Torre, L.: Parameters for Utilitarian Desires in A Qualitative Decision Theory. Applied Intelligence 14, 285–301 (2001)

    Article  MATH  Google Scholar 

  30. Wagner, H.M.: Principles of Operations Research. Prentice-Hall, Englewood Cliffs (1973)

    Google Scholar 

  31. Wang, Y., Liu, D., Ruhe, G.: Formal Description of the Cognitive Process of Decision Making. In: Proceedings of the Third International Conference on Cognitive Informatics, pp. 124–130 (2004)

    Google Scholar 

  32. Wierda, L.S.: Product Cost-Estimation by the Designer. Engineering Costs and Production Economics 13, 189–198 (1988)

    Article  Google Scholar 

  33. Wilson Orndoff, C.J.: Promising New Tool for Stakeholder Interaction. Journal of Architectural Engineering 11(4), 139–146 (2005)

    Article  Google Scholar 

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Authors and Affiliations

  1. Dept. of Industrial and Manufacturing Systems Engineering, Kansas State University, 216 Durland Hall, Manhattan, KS, 66506, United States

    David Ben-Arieh & Todd Easton

Authors
  1. David Ben-Arieh
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  2. Todd Easton
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Editor information

Editors and Affiliations

  1. Depto. Ciencias de la Computación e Inteligencia Artificial, Universidad Granada, C/ Periodista Daniel Saucedo Aranda s/n, 18071, Granada, Spain

    Enrique Herrera-Viedma

  2. Departamento de Economía Aplicada, Universidad de Valladolid, Avenida Valle Esgueva 6, 47011, Valladolid, Spain

    José Luis García-Lapresta

  3. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01–447, Warsaw, Poland

    Janusz Kacprzyk

  4. Fac. Economia Dipto. Informatica e Studi Aziendali, Università di Trento, Via Inama 5, 38100, Trento, Trento, Italy

    Mario Fedrizzi

  5. Department of Political Science and Contemporary History, University of Turku, Turku, Finland

    Hannu Nurmi

  6. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Sławomir Zadrożny

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© 2011 Springer-Verlag Berlin Heidelberg

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Ben-Arieh, D., Easton, T. (2011). Product Design Compromise Using Consensus Models. In: Herrera-Viedma, E., García-Lapresta, J.L., Kacprzyk, J., Fedrizzi, M., Nurmi, H., Zadrożny, S. (eds) Consensual Processes. Studies in Fuzziness and Soft Computing, vol 267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20533-0_21

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  • DOI: https://doi.org/10.1007/978-3-642-20533-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-20532-3

  • Online ISBN: 978-3-642-20533-0

  • eBook Packages: EngineeringEngineering (R0)

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