References
- Akram, M., and C. Pilbeam. 2015. Critical success factors for effective risk management in new product development. In 6th IESM conference, October, Seville, Spain, 1205–1212.
- Axelsdottir, A., M. Nygaard, and K. Edwards. 2017. Systematic problemsolving in production: The NAX approach. IEEE Engineering Management Review 45 (1):49–57. doi:https://doi.org/10.1109/EMR.2017.2667178.
- Barak, M. 2013. Impacts of learning inventive problem-solving principles: Students’ transition from systematic searching to heuristic problem solving. An International Journal of the Learning Sciences 41:657–79.
- Bhaumik, S. 2010. Root cause analysis in engineering failures. Transactions of the Indian Institute of Metals 63 (2–3):297–9. doi:https://doi.org/10.1007/s12666-010-0040-y.
- Bilsel, R. U., and D. K. J. Lin. 2012. Ishikawa cause and effect diagrams using capture recapture techniques. Quality Technology & Quantitative Management 9 (2):137–52. doi:https://doi.org/10.1080/16843703.2012.11673282.
- Boder, A. 2006. Collective intelligence: A keystone in knowledge management. Journal of Knowledge Management 10 (1):81–93. doi:https://doi.org/10.1108/13673270610650120.
- Chauhan, A. S., O. P. Yadav, A. P. S. Rathore, and G. Soni. 2017. Analysis of risk sources in new product development process using fuzzy failure mode analysis, vol. 2017-, 1198–1202.
- Chlpeková, A., P. Večeřa, and Y. Šurinová. 2014. Enhancing the effectiveness of problem-solving processes through employee motivation and involvement. International Journal of Engineering Business Management 6:31. doi:https://doi.org/10.5772/59431.
- Choi, H. G., J. O. Ahn, H. S. Jeung, and J. S. Kim. 2010. A framework for managing risks on concurrent engineering basis. International Journal of Management Science and Engineering Management 5 (1):44–52. doi:https://doi.org/10.1080/17509653.2010.10671090.
- Coller, B. 2015. A glimpse into how students solve concept problems in rigid body dynamics. Atlanta, GA: American Society for Engineering Education-ASEE.
- Cudney, E. A., and S. L. Furterer. 2012. Design for six sigma in product and service in development applications and case studies. Boca Raton, FL: Taylor and Francis Group.
- de Mast, J. 2013. Diagnostic quality problem solving: a conceptual framework and six strategies. Quality Management Journal 20 (4):21–36. doi:https://doi.org/10.1080/10686967.2013.11918362.
- de Mast, J., and B. P. H. Kemper. 2009. Principles of exploratory data analysis in problem solving: What can we learn from a well-known case? Quality Engineering 21 (4):366–75. doi:https://doi.org/10.1080/08982110903188276.
- Del Frate, L., S. D. Zwart, and P. A. Kroes. 2011. Root cause as a U-turn. Engineering Failure Analysis 18 (2):747–58. doi:https://doi.org/10.1016/j.engfailanal.2010.12.006.
- Engelhardt, F. 2000. Improving systems by combining axiomatic design, quality control tools and designed experiments. Research in Engineering Design 12 (4):204–19. doi:https://doi.org/10.1007/s001630050034.
- Freeman, L. J., R. M. Medlin, and T. Johnson. 2019. Challenges and new methods for designing reliability experiments. Quality Engineering 31 (1):108–21. doi:https://doi.org/10.1080/08982112.2018.1546394.
- Giampaoli, D., M. Ciambotti, and N. Bontis. 2017. Knowledge management, problem solving and performance in top Italian firms. Journal of Knowledge Management 21 (2):355–75. doi:https://doi.org/10.1108/JKM-03-2016-0113.
- Jones, B. 2005. Resolving the root cause. Industrial Distribution 94:60.
- Kaplík, P., M. Prístavka, M. Bujna, and J. Viderňan. 2013. Use of 8D method to solve problems. Advanced Materials Research 801:95–101. doi:https://doi.org/10.4028/www.scientific.net/AMR.801.95.
- Kosina, J. 2015. Shainin methodology: An alternative or an effective complement to six sigma? Quality Innovation Prosperity 19 (2):18–31. doi:https://doi.org/10.12776/qip.v19i2.580.
- Kutsch, E., T. R. Browning, and M. Hall. 2014. Bridging the risk gap: The failure of risk management in information systems projects. Research-Technology Management 57:26–32.
- Lyons, J., and E. F. Young. 2001. Developing a Systems approach to engineering problem solving and design of experiments in a racecar-based laboratory course. Journal of Engineering Education (Washington, D.C.) 90:109–12.
- Mann, D. 2001. An Introduction to TRIZ: The theory of inventive problem solving. Creativity and Innovation Management 10 (2):123–5. doi:https://doi.org/10.1111/1467-8691.00212.
- Meister, M., T. Böing², S. Batz, and J. Metternich. 2018. Problem-solving process design in production: Current progress and action required. Procedia CIRP 78:376–81. doi:https://doi.org/10.1016/j.procir.2018.08.316.
- Perry, W., and N. Mehltretter. 2018. Applying root cause analysis to compressed air: How to solve common compressed air system problems with the 5-whys. Energy Engineering 115 (4):56–62. doi:https://doi.org/10.1080/01998595.2018.12016673.
- Proctor, T. 2010. Theories of creativity and the creative problem solving process. 3rd ed. London: Routledge.
- Proctor, T. 2020. Creative problem-solving techniques, paradigm shift and team performanceTeam Performance Management: 451–66. doi:https://doi.org/10.1108/TPM-06-2020-0049.
- Raz, T., A. J. Shenhar, and D. Dvir. 2002. Risk management, project success, and technological uncertainty. R&D Management 32 (2):101–9. doi:https://doi.org/10.1111/1467-9310.00243.
- Shainin, R. D. 2012. Statistical engineering: Six decades of improved process and systems performance. Quality Engineering 24 (2):171–83. doi:https://doi.org/10.1080/08982112.2012.654324.
- Sheu, D. D., and H.-K. Lee. 2011. A proposed process for systematic innovation. International Journal of Production Research 49 (3):847–68. doi:https://doi.org/10.1080/00207540903280549.
- Smith, J. L. 2018a. Dorian Shainin's influence, Part II: quality professionals can learn much from the Shainin system (face of quality). Quality 57:18.
- Smith, J. L. 2018b. Dorian Shainin's influence. Part III: Shainin's system remains useful even today in solving problems (face of quality). Quality 57:14.
- Snee, R. D. 2015. A practical approach to data mining: I have all these data; now what should i do? Quality Engineering 27 (4):477–87. doi:https://doi.org/10.1080/08982112.2015.1065322.
- Steiner, S. H., R. J. Mackay, and J. S. Ramberg. 2007. An overview of the Shainin System™ for quality improvement. Quality Engineering 20 (1):6–19. doi:https://doi.org/10.1080/08982110701648125.
- Teller, J., and A. Kock. 2013. An empirical investigation on how portfolio risk management influences project portfolio success. International Journal of Project Management 31 (6):817–29. doi:https://doi.org/10.1016/j.ijproman.2012.11.012.
- Tiuc, D., and G. Draghici. 2016. TRIZ model used for complaint management in the automotive product development process. Procedia - Social and Behavioral Sciences 221:414–22. doi:https://doi.org/10.1016/j.sbspro.2016.05.131.
- Todd, E. M., C. A. Higgs, and M. D. Mumford. 2019. Bias and bias remediation in creative problem-solving: managing biases through forecasting. Creativity Research Journal 31 (1):1–14. doi:https://doi.org/10.1080/10400419.2018.1532268.
- Yu, H., G. Zhang, and Y. Ran. 2019. A more reasonable definition of failure mode for mechanical systems using meta-action. IEEE Access. 7:4898–904. doi:https://doi.org/10.1109/ACCESS.2018.2888542.
- Zarghami, A., and D. Benbow. 2017. Introduction to 8D problem solving. The Journal for Quality and Participation 40:23–8.