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2021 | OriginalPaper | Chapter

A Multi-agent MDSS for Supporting New Product Design Decisions

Authors : Juan Francisco Figueroa-Pérez, Juan Carlos Leyva-López, Édgar Omar Pérez-Contreras, Pedro Sánchez-Sánchez

Published in: Intelligent and Complex Systems in Economics and Business

Publisher: Springer International Publishing

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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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Metadata
Title
A Multi-agent MDSS for Supporting New Product Design Decisions
Authors
Juan Francisco Figueroa-Pérez
Juan Carlos Leyva-López
Édgar Omar Pérez-Contreras
Pedro Sánchez-Sánchez
Copyright Year
2021
Book
Intelligent and Complex Systems in Economics and Business

Print ISBN: 978-3-030-59190-8

Electronic ISBN: 978-3-030-59191-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-59191-5_4

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