2nd International ICST Conference on Performance Evaluation Methodologies and Tools

Research Article

Modeling and evaluation of supply chains with GSPN components

  • @INPROCEEDINGS{10.4108/valuetools.2007.43,
        author={Gabriel Alves  Jr. and Paulo  Maciel and Ricardo  Lima},
        title={Modeling and evaluation of supply chains with GSPN components},
        proceedings={2nd International ICST Conference on Performance Evaluation Methodologies and Tools},
        publisher={ACM},
        proceedings_a={VALUETOOLS},
        year={2010},
        month={5},
        keywords={Logistics Modeling Performance evaluation Petri nets Stochastic processes Supply Chain Management},
        doi={10.4108/valuetools.2007.43}
    }
    
  • Gabriel Alves Jr.
    Paulo Maciel
    Ricardo Lima
    Year: 2010
    Modeling and evaluation of supply chains with GSPN components
    VALUETOOLS
    ICST
    DOI: 10.4108/valuetools.2007.43
Gabriel Alves Jr.1,*, Paulo Maciel1,*, Ricardo Lima2,*
  • 1: Centro de Informatica - Universidade Federal de Pernambuco (UFPE), Recife-PE, Brazil.
  • 2: Departamento de Sistemas Computacionais - Universidade de Pernambuco (UPE), Recife-PE, Brazil.
*Contact email: gaaj@cin.ufpe.br, prmm@cin.ufpe.br, ricardo@dsc.upe.br

Abstract

The global competition between manufactures and the requisition of high service levels for customers, led companies to recognize the relevance of supply chain management. The outbound logistics deals with the transportation and storage of finished goods from the end of the manufacturing to the customers. This paper proposes the use of predefined Petri nets components to model and evaluate this activity. Aiming supporting a modeling process based on library's components, a modeling tool was implemented. It allows one representing supply chains by considering a high-level model, which is further converted into a Generalized Stochastic Petri Nets (GSPN) model, regarding libraryŠs components. This tool was also integrated with TimeNET, a well known Petri net tool, aiming computing model's metrics. Afterwards, it is presented a real case study conducted in a Brazilian meat processing industry.