A soft computing approach for task contracting in multi-agent manufacturing control

  • Authors:
  • Guido Maione;David Naso

  • Affiliations:
  • Dipartimento di Ingegneria dell'Innovazione, Università degli Studi di Lecce, Via Monteroni, 73100 Lecce, Italy;Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David, 200-70125 Bari, Italy

  • Venue:
  • Computers in Industry - Special issue: Soft computing in industrial applications
  • Year:
  • 2003

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Abstract

This paper describes a new task-contracting schema for multi-agent manufacturing control based on soft computing. It aims to apply fuzzy techniques to implement a real-time multi-criteria task-contracting mechanism for part flow control in manufacturing floor. For comparison purposes, the paper also considers other recently proposed evolutionary strategies to adapt and optimize agents' decision parameters to the changing conditions of the manufacturing floor. All the considered approaches are compared on a detailed simulation model of a hypothetical manufacturing system that was recently proposed in literature as benchmark for multi-agent control systems.