Modeling - simulation of green supply chains in automotive industries

Abstract

The main goal of this thesis is to improve a proposed model (that was designed using conventional Petri Nets) using Colored Petri Nets. The proposed model simulates the implementation of green supply chains in a hypothetical automotive industry that manufactures four different types of automobiles. Some introductory concepts - keywords (such as what is a green supply chain) are introduced at the outset. Then, relevant research on the modeling and design of green supply chain is presented. In the main part (chapter 3), the colored Petri nets are analyzed, such as, for example, what are their main structural elements and some of them are listed and explained. The reasons for the proposed model's improvement are stated in paragraph 3.2. Section 3.3 describes in detail the new improved model. Finally, in heads 4 and 5, an attempt is made to put the new improved model into action. More specifically, the model is implemented in Python (some structural elements of the code are presented), and the program that is created then runs a random number of simulations. The output data is used to generate charts and perform statistical analyses.