Analyzing Supply Chain Structures with Petri Nets: A Composition-Based Approach

The purpose of this paper is to provide a detailed composition analysis of the supply chain by examining its various components and relationships. In recent times, mathematical modeling languages like Petri nets have proven to be highly effective in describing complex systems such as supply chains. Our model takes into consideration all the operations involved in the supply chain, from the very beginning to the end. In addition, we have designed another model specifically for the food supply chain. This model aims to provide a better understanding of the behavior of the food supply chain, including its handling and distribution from the farmer to the end customers. Petri nets tools have been utilized in the development of this model. This composition analysis offers a number of advantages for describing complex supply chains based on their unique requirements. The simulation and analysis results obtained from this model can be used to further refine the food supply chain, leading to more efficient and effective operations.