Abstract
Product configurators have increasingly been applied in industrial environments. With their help, companies providing customized products have managed to redesign their specification processes and to better handle the growing product variety. But despite the promising benefits, conducting configuration projects is still challenging. Assuming that configurators would naturally solve the existing flaws, both, researchers and professionals typically neglect the need for a making a precise scope for their implementation. Based on this theoretical and practical concern, the present study provides a detailed framework on how the highest potential and eventually the most benefits from using configuration systems can be identified. In particular, this paper investigates how the less explored domain of varying gross margins and calculations reveal a considerable potential for improvement by means of configuration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Haug, A., Hvam, L., Mortensen, N.H.: A classification of strategies for the development of product configurators. In: 5th World Conference on Mass Customization & Personalization, Proceedings of MCPC, Helsinki (2009)
McCutcheon, D.M., Raturi, A.S., Meredith, J.R.: The customization-responsiveness squeeze. Sloan Management Review 35(2), 89–99 (1994)
Sacks, R., Eastman, C.M., Lee, G.: Process Model Perspectives on Management and Engineering Procedures in the Precast/Prestressed Concrete Industry. Journal of Construction Engineering and Management 130(2), 206–215 (2004)
Byggeri - informationsteknologi - produktivitet – samarbejde, http://www.bips.dk
Scherer, R., Sharmak, W.: Process Risk Management Using Configurable Process Models. In: Camarinha-Matos, L.M., Pereira-Klen, A., Afsarmanesh, H. (eds.) PRO-VE 2011. IFIP AICT, vol. 362, pp. 341–348. Springer, Heidelberg (2011)
Ardissono, L., Felfernig, A., Friedrich, G., Goy, A., Jannach, D., Petrone, G., Schäfer, R., Zanker, M.: A Framework for the Development of Personalized, Distributed Web-Based Configuration Systems. Artificial Intelligence Magazine 24, 93–108 (2003)
Forza, C., Salvador, F.: Application support to product variety management. International Journal of Production Research 46(3), 817–836 (2008)
Forza, C., Salvador, F.: Configuring products to address the customization-responsiveness squeeze: A survey of management issues and opportunities. International Journal of Production Economics 91, 273–291 (2004)
Forza, S., Salvador, F.: Managing for variety in the order acquisition and fulfillment process: The contribution of product configuration systems. International Journal of Production Economics 76, 87–98 (2002)
Forza, C., Salvador, F.: Product information management for mass customization: connecting customer, front-office and back-office for fast and efficient customization. Palgrave Macmillan, New York (2007)
Haug, A., Hvam, L., Mortensen, N.H.: Definition and evaluation of product configurator development strategies. Computers in Industry 63(5), 471–481 (2012)
Haug, A., Hvam, L., Mortensen, N.H.: The impact of product configurators on lead times in engineering-oriented companies. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 25(2), 197–206 (2012)
Hvam, L., Pape, S., Nielsen, M.K.: Improving the quotation process with product configuration. Computers in Industry 57(7), 607–621 (2006)
Hvam, L., Bonev, M., Denkena, B., Schürmeyer, J., Dengler, B.: Optimizing the order processing of customized products using product configuration. Production Engineering 5(6), 595–604 (2011)
Song, Z., Kusiak, A.: Optimizing product configurations with a data-mining approach. International Journal of Production Research 47(7), 1733–1751 (2009)
Tenhiälä, A., Ketokivi, M.: Order Management in the Customization-Responsiveness Squeeze. Decision Sciences Journal 43(1), 173–206 (2012)
Trentin, A., Perin, E., Forza, C.: Overcoming the customization-responsiveness squeeze by using product configurators: Beyond anecdotal evidence. Computers in Industry 62(3), 260–268 (2011)
Helo, P.T.: Product configuration analysis with design structure matrix. Industrial Management Data Systems 106(7), 997–1011 (2006)
Yang, D., Miao, R., Wu, H., Zhou, Y.: Product configuration knowledge modeling using ontology web language. Expert Systems with Applications 36(3), 4399–4411 (2009)
Kropsu-Vehkampera, H., Haapasalo, H., Jaaskeleinen, O., Phusavat, K.: Product Configuraion Management in ICT Companies: The Practicioners’ Perspective. Techology and Investment 2, 273–285 (2011)
Blecker, T., Abdelkafi, N., Kreuter, G., Friedrich, G.: Product Configuration Systems: State-of-the-Art, Conceptualization and Extensions. In: Génie Logiciel & Intelligence Artificielle. Eight Maghrebian Conference on Software Engineering and Artificial Intelligence (MCSEAI 2004), pp. 25–36 (2004)
Trentin, A., Perin, E., Forza, C.: Product configurator impact on product quality. International Journal of Production Economics 135(2), 850–859 (2012)
Hvam, L., Malis, M., Hansen, B., Riis, J.: Reengineering of the quotation process application of knowledge based systems. Business Process Management Journal 10(2), 200–213 (2004)
Tiihonen, J., Soininen, T., Männistö, T., Sulonen, R.: State-of-the-practice in product configuration - a survey of 10 cases in the Finnish industry. In: Mäntylä, M., Finger, S., Tomiyama, T. (eds.) Knowledge Intensive CAD, vol. 1, pp. 95–114. TJ Press, Padstrow (1996)
Pine, B.J., Victor, B., Boynton, A.C.: Making Mass Customization Work. Harvard Business Review 71(5), 108–119 (1993)
Hvam, L., Mortensen, N.H., Riis, J.: Product Customization. Springer, Berlin (2008)
Blecker, T., Abdelkafi, N., Friedrich, G., Kaluza, B., Kreutler, G.: Information and Management Systems for Product Customization. Springer, New York (2005)
Tseng, M., Jianxin, J.: Mass customization. In: Salvendy, G. (ed.) Industrial Engineering Handbook: Technology and Operations Management, 3rd edn., pp. 684–709. Wiley, New York (2001)
Heiskala, M., Tiihonen, J., Paloheimo, K.S., Soininen, T.: Mass customization with configurable products and configurators. In: Blecker, T., Friedrich, G. (eds.) Mass Customization Information Systems in Business, Hershey, PA, pp. 1–32 (2007)
Coughlan, P., Coghlan, D.: Action research for operations management. International Journal of Operations & Production Management 22(2), 220–240 (2002)
Hartman, T., van Meerveld, H., Vossebeld, N., Adriaanse, A.: Aligning building information model tools and construction management methods. Automation in Construction 22, 605–612 (2012)
Jacobs, M.A., Swink, M.: Product portfolio architectural complexity and operational performance: Incorporating the roles of learning and fixed assets. Journal of Operations Management 29(7-8), 677–691 (2011)
Crosby, P.B.: Quality Is Free. Mentor, New York (1980)
Mortensen, N.H., Hvam, L., Boelskifte, P., Lindschou, C., Frobenius, S., Haug, A.: Making product customization profitable. International Journal of Industrial Engineering: Theory Applications and Practice 17(1), 25–35 (2010)
Nudurupati, S., Arshad, T., Turner, T.: Performance measurement in the construction industry: An action case investigating manufacturing methodologies. Computers in Industry 58(7), 667–676 (2007)
Balatbat, M., Lin, C., Carmichael, D.: Comparative performance of publicly listed construction companies: Australian evidence. Construction Management and Economics 28(9), 919–932 (2010)
van der Aalst, W.M., Stoffele, M., Wamelink, J.W.: Case handling in construction. Automation in Construction 12(3), 303–320 (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bonev, M., Hvam, L. (2012). Analyzing the Accuracy of Calculations When Scoping Product Configuration Projects. In: Chen, L., Felfernig, A., Liu, J., RaÅ›, Z.W. (eds) Foundations of Intelligent Systems. ISMIS 2012. Lecture Notes in Computer Science(), vol 7661. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34624-8_38
Download citation
DOI: https://doi.org/10.1007/978-3-642-34624-8_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34623-1
Online ISBN: 978-3-642-34624-8
eBook Packages: Computer ScienceComputer Science (R0)