Abstract
Competition in the global economy is intensifying the implementation of the mass customization paradigm. This requires a substantial increase in the personalized interaction between client and producer. Agility in the order-production-delivery cycle optimization is a key element for industrial enterprises as a means to meet requirements of this paradigm. The use of agile methodologies for this purpose requires improving processes of product specification and product data management. Under today’s technology this tends to be predominantly carried out with the aid of the Internet using mostly web services. For a company, this also requires better integration of front-office processes (interaction with the outside) and back office (including production processes). Mass Customization scenarios are characterized by large product variety dependent on product specific requirements of individual customers. In this process there is a need to provide the customer with tools for easy product specification, selection or configuration. Web-based configurators can provide an opportunity to both producer and customer, through an interactive process, for a more formal, faster, effective and better product and orders specification. In this paper, we propose an architecture and describe functionalities of a web-based system for interactive products and customer orders configuration. The proposed system can also be a valuable tool to support production and delivery.
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References
Pine J, Gilmore J (1999) The experience economy. Harvard Business School Press, Boston
Piller F (2002) Customer interaction and digitizability – a structural approach to mass customization. In: Rautenstrauch C (ed) Moving towards mass customization. Springer, Heidelberg/Berlin/New York, pp 119–138
Davis SM (1987) Future perfect. Addison-Wesley, New York
Tseng M, Jiao J (2001) Mass customization. In: Gavriel Salvendy (ed) Handbook of industrial engineering, technology and operation management, 3rd edn. New York
Blattberg RC, Glazer R (1994) In: Blattberg RC (ed) Marketing in the information revolution, the marketing information revolution. Harvard Business School Press, Boston, pp 9–29
Goddard WE (1986) Just-in-time: surviving by breaking tradition. Oliver Wight Ltd. Pub, USA
Kidd PT (1994) Agile manufacturing forging new frontiers. Addison-Wesley, Reading
Nagel R, Dove R (1991) Twenty-first century manufacturing enterprise strategy – an industry led review, vol 1 and 2. Iacocca Institute, Leigh University, Bethlehem
Hiramatsu A, Naito A, Ikkai Y, Ohkawa T, Komoda N (1997) 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
Hong G, Hu L, Xue D, Tu Y, Xiong Y (2008) Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production. Int J Prod Res, Taylor & Francis, Ablingdon, ROYAUME-UNI, 46(12):3297–3326
Jiao J, Helander MG (2006) Development of an electronic configure-to-order platform for customized product development. Comput Ind 57(3 (Abr)):231–244
Lee HJ, Lee JK (2005) An effective customization procedure with configurable standard models. Decis Support Syst 41(1):262–278
Li B, Chen L, Huang Z, Zhong Y (2006) Product configuration optimization using a multiobjective genetic algorithm. Int J Adv Manuf Technol 30(1–2):20–29
Luo X, Tu Y, Tang J, Kwong C (2008) Optimizing customer’s selection for configurable product in B2C e-commerce application. Comput Ind 59(8 (Out)):767–776
Mailharro D (1998) A classification and constraint-based framework for configuration. Artif Intell Eng Des Anal Manuf 12(4):383–395
McGuinness D, Wright J (1998) An industrial-strength description logic-based configurator platform. IEEE Intell Syst 13(4):69–77
Mittal S, Frayman F (1989) Towards a generic model of configuration tasks. In: Proceedings of the 11th international joint conference on artificial intelligence. IJCAI '89. San Mateo, CA, Morgan Kaufmann, pp 1395–1401
Sabin D, Weigel R (1998) Product configuration frameworks – a survey. IEEE Intell Syst 13(4):42–49
Tseng H, Chang C, Chang S (2005) Applying case-based reasoning for product configuration in mass customization environments. Expert Syst Appl 29:913–925
Yang D, Dong M, Miao E (2008) Development of a product configuration system with an ontology-based approach. Comput Aided Des 40(8 (Ago)):863–878
Yeh J, Wu T, Chang J (2007) Parallel genetic algorithms for product configuration management on PC cluster systems. Int J Adv Manuf Technol 31(11–12)
Zhou C, Lin Z, Liu C (2008) Customer-driven product configuration optimization for assemble-to-order manufacturing enterprises. Int J Adv Manuf Technol, Springer, 38(1–2):185–194
Castro AA, Varela MLR, Carmo-Silva S (2009) Products and orders configurator based on web services. In: Proceedings of the iDEMi09 – international conference on integration of design, engineering and management for innovation, Porto, Portugal
Acknowledgments
This work was developed under the scope of project PEst-OE/EME/UI0252/2011, financed by The Foundation for Science and Technology – FCT.
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Arrais-Castro, A., Varela, M.L.R., Carmo-Silva, S. (2013). Web-Based Decision Support System for Orders Planning. In: Madureira, A., Reis, C., Marques, V. (eds) Computational Intelligence and Decision Making. Intelligent Systems, Control and Automation: Science and Engineering, vol 61. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4722-7_16
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DOI: https://doi.org/10.1007/978-94-007-4722-7_16
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