Abstract
Market-driven product design decisions are receiving increasing attention in business practice, complemented by academic research on product design in a variety of disciplines. Mathematical and marketing research models are being integrated into decision-based design frameworks to represent customer behaviors and estimate the demand for design alternatives. The evolution of market structure eventually reshapes customer preference and competition, pushing the designers to rethink their design decision strategies. In this manner, it is necessary to develop decision support tools that would effectively provide support in new product design. In this paper, we argue that a combination of marketing decision support systems (MDSSs), multicriteria and multi-objective methodologies and agent technologies could be a very tool to support decision making in new product design applications. In this work, we propose a multi-agent architecture for a new product design MDSS and describe a system prototype for making new product design decisions.
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Figueroa-Pérez, J.F., Leyva-López, J.C., Pérez-Contreras, É.O., Sánchez-Sánchez, P. (2021). A Multi-agent MDSS for Supporting New Product Design Decisions. In: León-Castro, E., Blanco-Mesa, F., Gil-Lafuente, A.M., Merigó, J.M., Kacprzyk, J. (eds) Intelligent and Complex Systems in Economics and Business. Advances in Intelligent Systems and Computing, vol 1249. Springer, Cham. https://doi.org/10.1007/978-3-030-59191-5_4
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DOI: https://doi.org/10.1007/978-3-030-59191-5_4
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