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A Formal Performance Evaluation Method for Customised Plug-and-Play Manufacturing Systems Using Coloured Petri Nets.

Ge Wang1, Di Li2, Shiyong Wang2

  • 1Shien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511400, China.

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|October 27, 2022
PubMed
Summary

This study introduces a componentized framework for modeling and analyzing complex production systems. It enhances efficiency in personalized manufacturing by using colored Petri nets for performance evaluation.

Keywords:
customised plug-and-play manufacturingcyber-physical production systemformal modellingperformance evaluation

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Area of Science:

  • Industrial Engineering
  • Manufacturing Systems Engineering
  • Operations Research

Background:

  • Industrial manufacturing systems face increasing complexity due to technological advancements.
  • Developing and verifying models for personalized product lines is time-consuming and lacks uniformity.

Purpose of the Study:

  • To present a componentized framework for domain modeling and performance analysis of personalized production lines.
  • To enhance uniformity and reduce time costs in modeling complex manufacturing systems.
  • To support plug-and-play manufacturing processes with numerous input parameters.

Main Methods:

  • Utilized a "multi-granularity and multi-view" approach for componentized domain modeling.
  • Employed colored Petri nets as a simulation tool to map domain models to computational models.
  • Developed a method for setting production system input parameters using Work-In-Progress (WIP), throughput, and cycle time as metrics.

Main Results:

  • The proposed framework effectively models and analyzes personalized production lines.
  • Performance analysis results validated the framework's applicability.
  • The study provides insights for optimizing production line layout and scheduling strategies.

Conclusions:

  • The componentized framework offers a standardized and efficient approach to modeling complex production systems.
  • The methodology facilitates performance evaluation and informs design and scheduling decisions for personalized manufacturing.
  • Colored Petri nets are a suitable tool for simulating and analyzing such systems.