Modeling flexible systems of materials movement using interpreted Petri nets.

Author(s)

Fabrício Junqueira

• Document type: Master's Dissertation
• Press: São Paulo. , ilustrações.
• Institution: Universidade de São Paulo (USP). Escola Politécnica (EP/BC)
• Defense date: 2001-02-02

Examining board members

Paulo Eigi Miyagi; Claudio Barbieri da Cunha; Newton Maruyama

• Advisor: Paulo Eigi Miyagi
• Field of knowledge: Engineering - Mechanical Engineering
• Indexed in: Banco de Dados Bibliográficos da USP-DEDALUS; Biblioteca Digital de Teses e Dissertações - USP
• Location: Universidade de São Paulo. Biblioteca Central da Escola Politécnica; EPBC/FD-2753; Universidade de São Paulo. Escola Politécnica. Biblioteca de Engenharia Mecânica, Naval e Oceânica; EPMN/FD-2753

Abstract

Manufacturing systems have been object of interest of many professionals and researchers through the years due to the search of better methods for raising goods productivity and managerial competitiveness. Among its components, the material movement system deserves special attention because even not increasing the product value, it is responsible for keeping the flow of materials between machines, manufacturing cells, cost centers and also between companies, which is indispensable for any productive system. In this context, this work proposes a methodology for modeling flexible systems for materials and parts movement in the industrial environment, focusing on systems whose movement can be performed by AGVs (Autonomous Guided Vehicles). Considering the materials movement system as a Discrete Event System (DES), techniques derived from Petri Nets as PFS (Production Flow Schema) and E-MFG (Enhanced Mark Flow Graph) can be used for modeling those systems. To this purpose, concepts of object orientation are introduced to E-MFG in order to increase its modeling capacity, allowing the migration from the process oriented modeling paradigm to an hybrid object and process oriented modeling. A simplification of the materials movement system of the plant of "Mercedes Benz do Brasil", which is located in São Bernado do Campo, São Paulo, was used as a study case to illustrate the methodology presented. (AU)