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GRACE | inteGration of pRocess and quAlity Control using multi-agEnt technology

GRACE main objective is to realize an adaptive control system for responsive factories based on a cooperative multi agent system (MAS) operating at all stages of a manufacturing system, integrating process control with quality control, for developing:

  • self-adaptive procedures into control and diagnostic systems at local and global level
  • control schemes which maximize efficiency and efficacy of the production processes, but also of the final product, based on continuous flow of information between agents
  • a modular engineering methodology enabling the efficient use of MAS production platforms

In this way, the project seeks to close the gap between theory on development of adaptive/intelligent agents and control systems actually implemented in manufacturing lines. In particular, in order to reach the goal of a real world validation of the results, the project considers the production of washing machines as example of production on demand.

Five main scientific/technical objectives are defined:

  • Development of a flexible, adaptive and reconfigurable architecture integrating process and quality control
  • Development of self-adaptation and self-optimization mechanisms
  • Development of modular and adaptive testing systems
  • Enable systematic transferability and industrial applicability of GRACE
  • Prototype of the concept and real test case

This project impacts on production engineering research through the development of technologies for flexible and re-configurable production, implementing the concepts of flexibility and adaptivity, for improving process capability, production efficiency and product quality, so to build technological competitive advantage for one of the leading manufacturing sectors in Europe.

The consortium is built in order to successfully develop and validate the GRACE concepts. In fact, industrial involvement is very relevant; this has a strong potential to really impact on industrial take-up and exploitation.

Scientific Objectives

Workplan