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Updated: Jul 7, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

Published on: August 29, 2025

Supervisory control of multiworkcell manufacturing systems with shared resources.

A Ramirez-Serrano¹, B Benhabib

¹Comput. Integrated Manuf. Lab., Toronto Univ., Ont.

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society

|February 7, 2008

Summary

This study presents a new method for creating supervisors that prevent deadlocks in flexible manufacturing systems (FMSs) using shared resources. The approach ensures conflict-free operation for individual workcells within the FMS.

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Operation of the Collaborative Composite Manufacturing (CCM) System

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Published on: October 1, 2019

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Last Updated: Jul 7, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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Published on: August 29, 2025

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Area of Science:

Manufacturing Engineering
Control Systems Theory
Computer Science

Background:

Flexible manufacturing systems (FMSs) enhance production adaptability by sharing resources across workcells.
Resource sharing in FMSs can lead to complex interdependencies and potential deadlocks, hindering operational efficiency.
Ensuring deadlock-free operation is critical for the successful implementation and reliability of FMS.

Purpose of the Study:

To develop a novel methodology for synthesizing conflict- and deadlock-free supervisors for individual workcells in FMS.
To address the challenge of managing shared resources in interconnected workcells within a FMS.
To ensure the robust and uninterrupted operation of flexible manufacturing systems.

Main Methods:

The methodology employs Extended Moore Automata (EMA) and Controlled-Automata theories for supervisor synthesis.
A novel algorithmic procedure is introduced for analyzing the concurrent operation of multiple supervisors.
The approach focuses on creating supervisors that individually control each workcell while managing shared resources.

Main Results:

The proposed methodology successfully synthesizes supervisors that guarantee conflict- and deadlock-free operation for each workcell.
The developed algorithm effectively analyzes concurrent supervisor operations to detect potential deadlock states.
The research provides a systematic approach to enhance the reliability of FMS with shared resources.

Conclusions:

The novel methodology offers a robust solution for designing deadlock-free supervisors in FMS with shared resources.
The integration of EMA and Controlled-Automata theories provides a strong theoretical foundation for FMS control.
This work contributes to the advancement of automated manufacturing systems by ensuring operational stability and preventing deadlocks.