LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

A Customized Supervisory Control Approach for Flexible Manufacturing Systems

Photo by pavel_kalenik from unsplash

To meet the customized requirements of customers is the core orientation to achieve the transition from production-centered manufacturing to service-centered manufacturing. As an important part of smart manufacturing systems in… Click to show full abstract

To meet the customized requirements of customers is the core orientation to achieve the transition from production-centered manufacturing to service-centered manufacturing. As an important part of smart manufacturing systems in the production and operation level dominated by material flow, flexible manufacturing systems (FMS) have to make several transitions such as incorporating several manufacturing procedures, containing several manufacturing products, and meeting several manufacturing requirements. As the existing research on FMS mainly focuses on fixed manufacturing techniques and production procedures, it is imperative to propose an effective modeling and control approach. In this paper, inspired by the idea of colored Petri nets, based on the manufacturing information of workpieces in the system, we propose a customized supervisory control approach for FMS. Finally, the validity of our approach is illustrated by an FMS satisfying customized requirements. The proposed approach makes control decisions by dynamically updating the token information of the current state of the supervisor, and also by combining the information of the binding queue and the customized information of workpieces, which does not increase the scale of the supervisor.

Keywords: control; manufacturing; flexible manufacturing; manufacturing systems; control approach

Journal Title: IEEE Access
Year Published: 2023

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.