Abstract
Competition in the today’s global economy is intensifying the use of the new paradigm of mass customization. Such a paradigm is characterized by the need to deal with a very large variety of products determined by a substantial increase in customer specific product requirements. Implementing this paradigm requires agility and effectiveness in the customer-producer interaction and also in the order-production-delivery cycle. Web-based product configurators can provide an opportunity for improved interaction between producer and customer, and for a more formal, agile and effective process of both product and customer orders specification. In this paper, we propose architecture and describe the functionalities of a web based system for interactive product and customer order configuration. The proposed system can be also of value for supporting product data management and the production and delivery functions.
This is a preview of subscription content, log in via an institution to check access.
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
Horman, P.: Business process change: a guide for business managers and BPM and six sigma professionals. Morgan Kaufmann, Burlington (2007)
Hyer, N., Wemmerlov, U.: Reorganizing the factory: competing through cellular manufacturing. Productivity Press, New York (2002)
Monden, Y.: Toyota Production System. Industrial Engineering and Management Press (1983), ISBN 0-89806-034-6
Pine, J., Gilmore, J.: The Experience Economy. Harvard Business School Press, Boston (1999)
Piller, F.: Customer interaction and digitizability - a structural approach to mass customization. In: Rautenstrauch, et al. (eds.) Moving Towards Mass Customization, pp. 119–138. Springer, Heidelberg (2002)
Jiao, J., Helander, M.G.: Development of an electronic configure-to-order platform for customized product development. Computers in Industry 57(3), 231–244 (2006)
Blattberg, R.C., Glazer, R.: Marketing in the Information Revolution. In: Blattberg, R.C., et al. (eds.) The Marketing Information Revolution, pp. 9–29. Harvard Business School Press, Boston (1994)
Barker, V.E., O’Connor, D.E.: Expert systems for configuration at Digital: XCON and beyond. Communications of the ACM 32(3), 298–318 (1989)
Luo, X., Tu, Y., Tang, J., Kwong, C.: Optimizing customer’s selection for configurable product in B2C e-commerce application. Computers in Industry 59(8), 767–776 (2008)
Sabin, D., Weigel, R.: Product configuration frameworks — A survey. IEEE, Los Alamitos (1998)
McGuinness, D., Wright, J.: An industrial-strength description logic-based configurator platform. IEEE Intelligent Systems 13(4), 69–77 (1998)
Heinrich, M., Jungst, E.: A resource-based paradigm for the configuring of technical systems from modular components. In: Proceedings of Seventh IEEE Conference Artificial Intelligence Applications, Miami Beach, FL, USA (1991)
Mittal, S., Falkenhainer, B.: Dynamic constraint satisfaction problems. In: Proceedings of the Eighth National Conference on Artificial Intelligence, Boston, MA, USA (1991)
Mailharro, D.: A classification and constraint-based framework for configuration. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 12(4), 383–395 (1998)
Mittal, S., Frayman, F.: Towards a generic model of configuration tasks. In: Proceedings of the 11th International Joint Conference on Artificial Intelligence (1989)
Tseng, M., Jiao, J.: Mass Customization. In: Handbook of Industrial Engineering, Technology and Operation Management, 3rd edn. (2001)
Lee, H.J., Lee, J.K.: An effective customization procedure with configurable standard models. Decision Support Systems 41(1), 262–278 (2005)
Hiramatsu, A., Naito, A., Ikkai, Y., Ohkawa, T., Komoda, N.: Case based function tree generator for client-server systems configuration design. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Orlando, FL, USA (1997)
Yang, D., Dong, M., Miao, E.: Development of a product configuration system with an ontology-based approach. Computer-Aided Design 40(8) (Ago), 863–878 (2008)
Hong, G., Hu, L., Xue, D., Tu, Y., Xiong, Y.: Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production. International Journal of Production Research, 1–30 (2007)
Zhou, C., Lin, Z., Liu, C.: Customer-driven product configuration optimization for assemble-to-order manufacturing enterprises. The International Journal of Advanced Manufacturing Technology (2005)
Li, B., Chen, L., Huang, Z., Zhong, Y.: Product configuration optimization using a multiobjective genetic algorithm. The International Journal of Advanced Manufacturing Technology 30(1-2), 20–29 (2006)
Yeh, J., Wu, T., Chang, J.: Parallel genetic algorithms for product configuration management on PC cluster systems. The International Journal of Advanced Manufacturing Technology 31(11-12) (2007)
Hill, W., Stead, L., Rosenstein, M., Furnas, G.: Recommending and evaluating choices in a virtual community of use. In: Proceedings of the 1995 ACM Conference on Factors in Computing Systems, New York, USA (1995)
Shardanand, U., Maes, P.: Social information filtering: algorithms for automating word of mouth. In: Proceedings of the 1995 Conference on Human Factors in Computing Systems, Denver, CO, USA (1995)
Srivastava, J., Cooley, R., Deshpande, M., Tan, P.: Web usage mining: discovery and applications of usage patterns from Web data. SIGKDD Explorations 1(2), 1–12 (2000)
Aggarwal, C., Wolf, J., Wu, K., Yu, P.: Horting hatches an egg: a new graphtheoretic approach to collaborative filtering. In: Proceedings of the Fifth ACM SIGKDD International Conference, San Diego, CA (1999)
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web, Hong Kong (2001)
Hofmann, T.: Latent semantic models for collaborative filtering. ACM Transactions on Information Systems 22(1), 89–115 (2004)
Tseng, H., Chang, C., Chang, S.: Applying case-based reasoning for product configuration in mass customization environments. Expert Systems with Applications 29, 913–925 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Castro, A.A., Varela, L., Carmo-Silva, S. (2010). An Architecture for a Web Service Based Product Configuration Information System. In: Quintela Varajão, J.E., Cruz-Cunha, M.M., Putnik, G.D., Trigo, A. (eds) ENTERprise Information Systems. CENTERIS 2010. Communications in Computer and Information Science, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16419-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-16419-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16418-7
Online ISBN: 978-3-642-16419-4
eBook Packages: Computer ScienceComputer Science (R0)