The Aspect of the Human Bias in Decision Making within Quality Management Systems & LEAN Theory
This paper provides a literature review to document the state of the art with respect to handling “human bias” in decision making within the established quality management systems (QMS) and LEAN theory, in the context of shipbuilding. Previous research shows that in shipbuilding there is a huge deviation from the planned man-hours under the project management to the actual man-hours used because of errors in planning and reworks caused by human bias in the information flows, among others. This reduces the efficiency, and increases operational costs. Thus, the research question is how QMS and LEAN handle biases. The findings show the gap in studying the integration of methods to handle human bias in decision making into QMS and lean, not only within shipbuilding, but in general. Theoretical and practical implications are discussed for researchers and practitioners in the areas of decision making, QMS and LEAN, and future research is suggested.
[1] Brocke, J. v., Simons, A., Niehaves, B., Niehaves, B., Reimer, K., Plattfaut, R., et al. (2009). Reconstructing the giant: On the importance of rigour in documenting the literature search process. ECIS 2009, (s. Paper 161).
[2] Ciobanu, I. C., &Neupane, G. P. 2008. Phase-Based Project Management at Aker Yards Langsten: A Lean Shipbuilding Perspective" Master Degree Thesis. Molde University College.
[3] Flyvbjerg, B. 2013. Quality control and due diligence in project management: Getting decisions right by taking the outside view. International Journal f Project Management 31, ss. 760-774.
[4] Haselton, M. G., Nettle, D., & Andrews, P. W. 2005. The evolution of cognitive bias. I D. M. Buss, The Handbook of Evolutionary Psychology: Hoboken (ss. 724-746). NJ, US: John Wiley & Sons Inc.
[5] Hogart, R. 1991. Judgment and Choice: The Psichology of Decision (Second Edition ed.). Chichester, New York, Brisbane, Toronto: John Wiley & Sons, Ltd.
[6] Hoyle, David. 2007. Quality Management Essentials. Oxford: Butterworth-Heinemann an imprint of Elsevier Limited.
[7] ISO. (u.d.). Quality Management Principles. Hentet fra http://www.iso.org/iso/qmp_2012.pdf
[8] ISO/TC 176 Quality management and quality assurance. (u.d.). Hentet fra http://www.iso.org/iso/iso_technical_committee?commid=53882
[9] Kahneman, Daniel 2011. Thinking fast and slow. London: Penguin Books Ltd.
[10] Kahneman, D., &Tversky, A. 1972, 3 (3). Subjective probability: A judgment of representativeness. Cognitive Psychology, ss. 430-454.
[11] Kahneman, D., &Tversky, A. 1979, March. Prospect Theory: An Analysis of Decision under Risk. Econometrica, Vol. 47, No. 2, ss. pp. 263-292.
[12] Ohno, T., &Bodek, N. 1998. Toyota Production System: Beyond Large-Scale Production. Productivity Press.
[13] Phebe, A., &Suganthi, L. 2013. Intelligent quality management system using analytic hierarchy process and fuzzy association rules for manufacturing sector. (3).
[14] Purvis, R., McCray, G., & Roberts, T. 2003. The impact of project management heuristics to IS projects. Proceedings of the 36th Annual Hawaii International Conference on System Sciences. Hawaii.
[15] Simon, H. 1972. Theories of Bounded Rationality. I C. McGuire, & R. Radner, Decision and Organization (ss. 161-176). North Holland, Publishing Company.
[16] Wallace, S. W. 2005. Decision making under uncertainty: The art of modeling. Molde Norway: Molde University College.
[17] Webster, J., & Watson, R. T. 2002, June. Analizing the past to prepare for the future: writing a literature review. MIS Quarterly (2), ss. xiii-xxiii.
[1] Brocke, J. v., Simons, A., Niehaves, B., Niehaves, B., Reimer, K., Plattfaut, R., et al. (2009). Reconstructing the giant: On the importance of rigour in documenting the literature search process. ECIS 2009, (s. Paper 161).
[2] Ciobanu, I. C., &Neupane, G. P. 2008. Phase-Based Project Management at Aker Yards Langsten: A Lean Shipbuilding Perspective" Master Degree Thesis. Molde University College.
[3] Flyvbjerg, B. 2013. Quality control and due diligence in project management: Getting decisions right by taking the outside view. International Journal f Project Management 31, ss. 760-774.
[4] Haselton, M. G., Nettle, D., & Andrews, P. W. 2005. The evolution of cognitive bias. I D. M. Buss, The Handbook of Evolutionary Psychology: Hoboken (ss. 724-746). NJ, US: John Wiley & Sons Inc.
[5] Hogart, R. 1991. Judgment and Choice: The Psichology of Decision (Second Edition ed.). Chichester, New York, Brisbane, Toronto: John Wiley & Sons, Ltd.
[6] Hoyle, David. 2007. Quality Management Essentials. Oxford: Butterworth-Heinemann an imprint of Elsevier Limited.
[7] ISO. (u.d.). Quality Management Principles. Hentet fra http://www.iso.org/iso/qmp_2012.pdf
[8] ISO/TC 176 Quality management and quality assurance. (u.d.). Hentet fra http://www.iso.org/iso/iso_technical_committee?commid=53882
[9] Kahneman, Daniel 2011. Thinking fast and slow. London: Penguin Books Ltd.
[10] Kahneman, D., &Tversky, A. 1972, 3 (3). Subjective probability: A judgment of representativeness. Cognitive Psychology, ss. 430-454.
[11] Kahneman, D., &Tversky, A. 1979, March. Prospect Theory: An Analysis of Decision under Risk. Econometrica, Vol. 47, No. 2, ss. pp. 263-292.
[12] Ohno, T., &Bodek, N. 1998. Toyota Production System: Beyond Large-Scale Production. Productivity Press.
[13] Phebe, A., &Suganthi, L. 2013. Intelligent quality management system using analytic hierarchy process and fuzzy association rules for manufacturing sector. (3).
[14] Purvis, R., McCray, G., & Roberts, T. 2003. The impact of project management heuristics to IS projects. Proceedings of the 36th Annual Hawaii International Conference on System Sciences. Hawaii.
[15] Simon, H. 1972. Theories of Bounded Rationality. I C. McGuire, & R. Radner, Decision and Organization (ss. 161-176). North Holland, Publishing Company.
[16] Wallace, S. W. 2005. Decision making under uncertainty: The art of modeling. Molde Norway: Molde University College.
[17] Webster, J., & Watson, R. T. 2002, June. Analizing the past to prepare for the future: writing a literature review. MIS Quarterly (2), ss. xiii-xxiii.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:65896", author = "Adriana Ávila Zúñiga Nordfjeld", title = "The Aspect of the Human Bias in Decision Making within Quality Management Systems & LEAN Theory", abstract = "This paper provides a literature review to document the state of the art with respect to handling “human bias” in decision making within the established quality management systems (QMS) and LEAN theory, in the context of shipbuilding. Previous research shows that in shipbuilding there is a huge deviation from the planned man-hours under the project management to the actual man-hours used because of errors in planning and reworks caused by human bias in the information flows, among others. This reduces the efficiency, and increases operational costs. Thus, the research question is how QMS and LEAN handle biases. The findings show the gap in studying the integration of methods to handle human bias in decision making into QMS and lean, not only within shipbuilding, but in general. Theoretical and practical implications are discussed for researchers and practitioners in the areas of decision making, QMS and LEAN, and future research is suggested.
", keywords = "Human bias, decision making, LEAN Shipbuilding, quality management systems.", volume = "7", number = "12", pages = "2536-6", }
