Agent-Based Product Configuration: towards Generalized Consensus Seeking

TL;DR

This paper introduces an evolved fuzzy agent platform for product configuration that employs generalized consensus to enhance robustness and distinguish between robust and flexible components throughout the configuration process.

Contribution

It presents a novel approach integrating generalized consensus into agent-based product configuration for improved robustness and component differentiation.

Findings

Robust configurations identified through generalized consensus.

Enhanced distinction between robust and flexible components.

Improved robustness in product configuration process.

Abstract

This paper will present an evolution of a fuzzy agent based platform which performed products configuration. As a first step, we used the notion of consensus to establish robust results at the end of the configuration process. We implemented the concept of generalized consensus which implied the consideration of consensuses from the beginning, in this way robust data are treated during the entire process and the final result enables the designer to distinguish the robust components and flexible ones in a set of configurations.