Adriana Giret

TL;DR: In this article, a multi-agent approach for analysis of Holonic Manufacturing Systems is presented based on an abstract agent definition and the PROSA reference architecture for holonic systems, the analysis process to identify and specify holons is organized around five views of the system and integrates the advantages of proven multiagent methodologies to the manufacturing field.

TL;DR: An Agent-supported Simulation Environment for intelligent manufacturing systems is presented and the interaction and cooperation scenarios among these agents are specified to facilitate manufacturing simulation in an appropriate and flexible way.

TL;DR: A genetic algorithm is developed to solve an extended version of the classical job-shop scheduling problem, which shows that a powerful commercial tools for solving scheduling problems was not able to solve large instances in a reasonable time, meanwhile the genetic algorithm was able to solved all instances with a good solution quality.

TL;DR: In this paper, an agent-supported simulation tool for an intelligent manufacturing system and its influence with the management of the warehouse applied to a metal-mechanic manufacturing enterprise is presented.

TL;DR: In this article, a low-carbon product family design that integrates environmental concerns is proposed, and a new method of platform planning is investigated with considerations of cost and greenhouse gas (GHG) emission of a product family simultaneously.