Navigating redesign and market desirability implications when considering increased product variety

References

• Ahmad, Naveed, David C. Wynn, and P. John Clarkson. 2013. “Change Impact on a Product and its Redesign Process: A Tool for Knowledge Capture and Reuse.” Research in Engineering Design 24 (3): 219–244.
   Web of Science ®Google Scholar
• Bauer, Hans H. 2009. “Typology of Potential Benefits of Mass Customization Offerings for Customers: An Exploratory Study of the Consumer Perspective.” Handbook of Research in Mass Customization and Personalization 1: 162–181.
   Google Scholar
• Ben-Akiva, M., and S. Lerman. 1985. Discrete Choice Analysis. Cambridge, MA: The MIT Press.
   Google Scholar
• Browning, T. R. 2001. “Applying the Design Structure Matrix to System Decomposition and Integration Problems: A Review and New Directions.” IEEE Transactions on Engineering Management 48 (3): 292–306.
   Web of Science ®Google Scholar
• Cao, D., Z. Li, and K. Ramani. 2011. “Ontology-Based Customer Preference Modeling for Concept Generation.” Advanced Engineering Informatics 25 (2): 162–176.
   Web of Science ®Google Scholar
• Chen, C.-H., L. P. Khoo, and W. Yan. 2003. “Evaluation of Multicultural Factors from Elicited Customer Requirements for New Product Development.” Research in Engineering Design 14: 119–130.
   Web of Science ®Google Scholar
• Clarkson, P. John, Caroline Simons, and Claudia Eckert. 2004. “Predicting Change Propagation in Complex Design.” Journal of Mechanical Design 126 (5): 788–797.
   Web of Science ®Google Scholar
• Cohen, T., S. B. Navathe, and R. E. Fulton. 2000. “C-FAR, Change Favorable Representation.” Computer-Aided Design 32 (5–6): 321–338.
   Web of Science ®Google Scholar
• Dieter, G. 1999. Engineering Design: A Materials and Processing Approach. New York, NY: McGraw-Hill Science/Engineering/Math.
   Google Scholar
• Eckert, Claudia, P. John Clarkson, and Winfried Zanker. 2004. “Change and Customisation in Complex Engineering Domains.” Research in Engineering Design 15 (1): 1–21.
   Web of Science ®Google Scholar
• Eckert, Claudia M., U. Pulm, and T. A. W. Jarratt. 2003. “Mass Customisation, Change and Inspiration- Changing Designs to Meet New Needs.” 14th International Conference on Engineering Design. DS31_1446FPB, Stockholm, August 19–21.
   Google Scholar
• Foster, Garrett, Callaway Turner, Scott Ferguson, and Joseph Donndelinger. 2014. “Creating Targeted Initial Populations for Genetic Product Searches in Heterogeneous Markets.” Engineering Optimization. 46: 1729–1747.
   Web of Science ®Google Scholar
• Fung, R. Y. K., S. P. Y. Chong, and Y. Wang. 2004. “A Framework of Product Styling Platform Approach: Styling as Intangible Modules.” Concurrent Engineering 12 (2): 89–103.
   Web of Science ®Google Scholar
• Goel, A. K. 1997. “Design, Analogy, and Creativity.” IEEE Expert 12 (3): 62–70.
   Google Scholar
• Hamraz, B., N. H. M. Caldwell, and P. John Clarkson. 2013. “A Matrix-Calculation-Based Algorithm for Numerical Change Propagation Analysis.” IEEE Transactions on Engineering Management 60 (1): 186–198.
   Web of Science ®Google Scholar
• Huffman, Cynthia, and Barbara E. Kahn. 1998. “Variety for Sale: Mass Customization or Mass Confusion?” Journal of Retailing 74 (4): 491–513.
   Web of Science ®Google Scholar
• Jarratt, T., P. John Clarkson, and G. Parks. 2002. “Use of Monte Carlo Methods in the Prediction of Change Propagation.” Proceedings of the Engineering Design Conference 2002, 487–498. Anonymous Professional Engineering Publishing Ltd, King's College: London.
   Google Scholar
• Jarratt, T. A. W., Claudia M. Eckert, N. H. M. Caldwell, and P. John Clarkson. 2011. “Engineering Change: An Overview and Perspective on the Literature.” Research in Engineering Design 22 (2): 103–124.
   Web of Science ®Google Scholar
• Keller, Rene, Claudia M. Eckert, and P. John Clarkson. 2009. “Using an Engineering Change Methodology to Support Conceptual Design.” Journal of Engineering Design 20 (6): 571–587.
   Web of Science ®Google Scholar
• Keller, Rene, Claudia M. Eckert, and P. John Clarkson. 2010. “Change Prediction for Mass Customized Products: A Product Model View.” In Handbook of Research in Mass Customization and Personalization, edited by Frank T. Piller and Mitchell M. Tseng, 376–400. Hackensack, NJ: World Scientific Publishing.
   Google Scholar
• Koh, Edwin C. Y., N. H. M. Caldwell, and P. John Clarkson. 2012. “A Method to Assess the Effects of Engineering Change Propagation.” Research in Engineering Design 23 (4): 329–351.
   Web of Science ®Google Scholar
• Kumar, Deepak, Wei Chen, and Timothy W. Simpson. 2009. “A Market-Driven Approach to Product Family Design.” International Journal of Production Research 47 (1): 71–104.
   Web of Science ®Google Scholar
• Linsey, J. S., A. B. Markman and K. L. Wood. 2012. “Design by Analogy: A Study of the WordTree Method for Problem Re-representation.” Journal of Mechanical Design 134 (4): 041009. doi:10.1115/1.4006145.
   Web of Science ®Google Scholar
• Master Forge. 2008. Master Forge 2-Burner LOP Gas Grill. Accessed August 20, 2013. http://hi.atgimg.com/pdf/13278/872076013815_install.pdf.
   Google Scholar
• Merle, Aurelie, Jean-Louis Chandon, and Elyette Roux. 2010. “Why Consumers are Willing to Pay for Mass-Customized Products: Dissociating Product and Experiential Value.” Handbook of Research in Mass Customization and Personalization 1: 208–226.
   Google Scholar
• Michalek, J. J., O. Ceryan, and P. Y. Paplambros. 2006. “Balancing Marketing and Manufacturing Objectives in Product Line Design.” Journal of Mechanical Design 128 (6): 1196–1204.
   Web of Science ®Google Scholar
• Michalek, J. J., Fred M. Feinberg, and P. Y. Paplambros. 2005. “Linking Marketing and Engineering Product Design Decisions Via Analytical Target Cascading.” Journal of Product Innovation Management 22 (1): 42–62.
   Web of Science ®Google Scholar
• Ollinger, G. A., and T. F. Stahovich. 2004. “RedesignIT—A Model-Based Tool for Managing Design Changes.” Journal of Mechanical Design 126 (2): 208–216.
   Web of Science ®Google Scholar
• Orme, Bryan. 2006. Getting Started with Conjoint Analysis: Strategies for Product Design and Pricing Research. 3rd ed. Madison: Research Publishers, LLC.
   Google Scholar
• Otto, Kevin, and Kristin Wood. 2001. Product Design: Techniques in Reverse Engineering and New Product Development. Upper Saddle River: Prentice Hall.
   Google Scholar
• Pahl, G., W. Beitz, J. Feldhusen, K. H. Grote, K. Wallace, and L. Blessing. 2006. Engineering Design: A Systematic Approach. London: Springer.
   Google Scholar
• Piller, Frank T., Kathrin Moeslein, and Christof Stotko. 2004. “Does Mass Customization Pay? An Economic Approach to Evaluate Customer Integration.” Production Planning and Control 15 (4): 435–444.
   Web of Science ®Google Scholar
• Porterfield, Kalie. 2012. “Quantifying Consumer Sacrifice Gap for Product Optimization in Mass Customization Environments.” MS thesis, NC State University.
   Google Scholar
• Sawtooth Software, Inc. 2008. CBC V.6.0. Accessed August 20, 2013. http://www.sawtoothsoftware.com/download/techpap/cbctech.pdf ed.
   Google Scholar
• Sawtooth Software, Inc. 2009. “The CBC/HB System for Hierarchical Bayes Estimation Version 5.0 Technical Paper.” Sequim, WA.
   Google Scholar
• See, T. K., A. Gurnani, and K. Lewis. 2004. “Multi-Attribute Decision Making using Hypothetical Equivalents and Inequivalents.” Journal of Mechanical Design 126 (6): 950–958.
   Web of Science ®Google Scholar
• See, T. K., and K. Lewis. 2006. “A Formal Approach to Handling Conflicts in Multiattribute Group Decision Making.” Journal of Mechanical Design 128 (4): 678–688.
   Web of Science ®Google Scholar
• Simpson, T. W., and J. Jiao. 2014. Advances in Product Family and Product Platform Design: Methods & Applications. New York: Springer Science + Business Media.
   Google Scholar
• Slavador, F., P. M. de Holan, and F. Piller. 2009. “Cracking the Code of Mass Customization.” MIT Sloan Management Review 50 (3): 71–78.
   Web of Science ®Google Scholar
• Steward, D. V. 1981. “The Design Structure System: A Method for Managing the Design of Complex Systems.” IEEE Transactions on Engineering Management 28 (3): 71–74.
   Web of Science ®Google Scholar
• Sullivan, E., S. Ferguson, and J. Donndelinger. 2011. “Exploring Differences in Preference Heterogeneity Representation and their Influence in Product Family Design.” 2011 ASME IDETC & CIE Conferences, Washington, DC, DETC2011-48596, August 28–31.
   Google Scholar
• Train, Kenneth. 2003. Discrete Choice Methods with Simulations. Cambridge: Cambridge University Press.
   Google Scholar
• Tucker, C. S., and H. M. Kim. 2009. “Data-Driven Decision Tree Classification for Product Portfolio Design Optimization.” Journal of Computing and Information Science in Engineering 9 (4): 041004. doi:10.1115/1.3243634.
   Web of Science ®Google Scholar
• Urban, Glen, and John Hauser. 1993. “Design and Marketing of New Products.” Chap. 7 in Design and Marketing of New Products. Upper Saddle River: Prentice Hall.
   Google Scholar
• Von Hagel, K., and Scott Ferguson. 2014. “Effect of Data Variability from Expert Users in the Change Prediction Method,” 2014 ASME International Design Engineering Technical Conferences and Computers in Information Conference, Buffalo, NY, DETC2014-34432.
   Google Scholar
• Wassenaar, Henk Jan, and Wei Chen. 2003. “An Approach to Decision-Based Design with Discrete Choice Analysis for Demand Modeling.” Journal of Mechanical Design 125 (3): 490–497.
   Web of Science ®Google Scholar
• Wassenaar, Henk Jan, Wei Chen, Jie Cheng, and Agus Sudjianto. 2004. “An Integrated Latent Variable Choice Modeling Approach for Enhancing Product Demand Modeling.” Proceedings of the ASME 2004 DETC and CIE Conference, Salt Lake City, UT, DETC2004-57487, September 28 – October 2.
   Google Scholar
• Wynn, David, David Wyatt, S. Nair, and P. John Clarkson. 2010. “An Introduction to the Cambridge Advanced Modeller.” Proceedings of the 1st International Conference on Modelling and Management of Engineering Processes, Cambridge, UK, July 19–20.
   Google Scholar