1. Multi-Agent Systems and Bio-Inspired Coordination applied to Manufacturing Industries
- Author
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Carlos Eduardo Pereira, Renato Ventura Bayan Henriques, and Juan David Ordonez Mutiz
- Subjects
0209 industrial biotechnology ,Job shop scheduling ,business.industry ,Computer science ,Mass customization ,Multi-agent system ,Ant colony optimization algorithms ,Scheduling (production processes) ,02 engineering and technology ,Economic globalization ,Industrial engineering ,020901 industrial engineering & automation ,Manufacturing ,0202 electrical engineering, electronic engineering, information engineering ,Task analysis ,020201 artificial intelligence & image processing ,business - Abstract
Economic globalization has created a market that demands customized and high quality products at low prices to stay competitive. In order to cope with these market requirements, mass customization production systems were developed and they are becoming increasingly an important research topic. Its performance, however, is strongly related to the coordination among agents and the quality of the data to make decisions. Therefore, an efficient multi-agent scheduling for mass customization systems is required.This paper introduces a bio-inspired scheduling based on the well known Ant Colony Optimization (ACO) in order to guarantee a well performance among devices. Looking to provide data to performance analysis and potential of the proposal, a case study of a simulated manufacturing plant using the proposed scheduling strategy is studied.
- Published
- 2018
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