REPRESENTATION AND PERFORMANCE ANALYSIS OF MANUFACTURING CELL BASED ON GENERALIZED STOCHASTIC PETRI NET

Authors

  • YoonHo Seo Korea University, Industrial & Systems Information Engineering
  • Taioun Kim Kyungsung University, Industrial Engineering
  • ByungNam Kim Pukyong National University, Systems Management and Engineering
  • DongMok Sheen Ulsan University, Transportation Systems Engineering

DOI:

https://doi.org/10.23055/ijietap.2006.13.1.427

Keywords:

Petri net, bill of process, bill of material, flexible manufacturing line, performance analysis

Abstract

To achieve high flexibility and agility for rapidly changing customer's demand, Petri net has been adopted as a modeling

and performance analysis tool. The Purpose of this paper is to propose modeling and performance analysis schemes of

flexible manufacturing line using a generalized stochastic Petri net. The manufacturing line can be represented using

workflows which are composed of bill of material and processes. Bill of process shows the precedence of processes and the

relationship among the manufacturing and assembly operations. An algorithm generating a Petri net from bill of material

database is proposed. The scheme of generalized stochastic Petri net utilizing both immediate and exponential distributed

transitions are adopted to model a manufacturing cell with flexible machines, assembly lines and buffers. Performance

analyses are performed based on qualitative and quantitative properties. For the qualitative analysis, behavioral and

structural analyses are applied. Quantitative analyses are conducted using a Petri net simulator.

Author Biography

Taioun Kim, Kyungsung University, Industrial Engineering

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Published

2022-02-24

How to Cite

Seo, Y., Kim, T., Kim, B., & Sheen, D. (2022). REPRESENTATION AND PERFORMANCE ANALYSIS OF MANUFACTURING CELL BASED ON GENERALIZED STOCHASTIC PETRI NET. International Journal of Industrial Engineering: Theory, Applications and Practice, 13(1), 99–107. https://doi.org/10.23055/ijietap.2006.13.1.427

Issue

Section

Manufacturing and Control