An Agent-Based System for the Design of New Products Using a Fuzzy Multicriteria Approach

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An Agent-Based System for the Design of New Products Using a Fuzzy Multicriteria Approach J. Francisco Figueroa-Perez1 • Juan C. Leyva-Lopez1 Pedro J. Sa´nchez3 • Alan D. Ramirez-Noriega2



Edgar O. Pe´rez-Contreras2



Received: 9 October 2019 / Revised: 28 July 2020 / Accepted: 3 August 2020  Taiwan Fuzzy Systems Association 2020

Abstract The intense competition of global markets stimulates a significant change in the way products are designed, manufactured, and delivered. Such a situation is forcing companies to consider the use of new tools to support this decision process. This paper describes an agent-based system implementing a novel consumer-based fuzzy multicriteria methodology to support the design of new products. It argues that a combination of marketing decision support systems, multicriteria and multiobjective methodologies, fuzzy models, and agent technologies could be a valuable tool to assist marketing managers in new product design applications. In the multi-agent system architecture, software agents were classified into types and organized in teams. The first includes interface, task, and information agents. The second reflects Simon’s decisionmaking process, including intelligence, design, and choice teams. The communication between agents is carried out & Juan C. Leyva-Lopez [email protected] J. Francisco Figueroa-Perez [email protected] Edgar O. Pe´rez-Contreras [email protected] Pedro J. Sa´nchez [email protected] Alan D. Ramirez-Noriega [email protected] 1

Universidad Auto´noma de Occidente, Blvd. Lola Beltra´n y Blvd. Rolando Arjona s/n, Culiaca´n, Sinaloa 80120, Mexico

2

Universidad Auto´noma de Sinaloa, Fuente de Poseido´n y ´ ngel Flores s/n, Los Mochis, Sinaloa 81223, Mexico A

3

Universidad de Jae´n, Campus Las Lagunillas s/n, Jae´n 23071, Spain

using an ontology. An example of system operation attempting to get the design of new corn oil is presented using sequence diagrams. Keywords Marketing  Decision support systems  Agent technology  New product design  Multiobjective evolutionary algorithms  Multicriteria decision analysis

1 Introduction The product design problem is a significant part of the new product development problem and one of the most crucial decisions for a company [1]. In modern companies, the new product development process is becoming a decentralized task. In this new environment, activities are distributed among several working groups, which are organized in distributed and hierarchical structures, where specialists are divided by disciplines. Thus, companies are facing new challenges: 1. 2. 3.

Designing products in collaboration with other partners in a decentralized environment; Designing products that meet customer needs and expectations, which sometimes conflict; Reducing product development time and costs through simultaneous optimization [2].

In this scenario, marketing managers are forced to become more competitive through better decision-making that helps them to make or change the company’s marketing strategy rapidly. It