![]() Put Simulator GUI Dashboard's files into Web Server.Conference Poster : contains the poster which was published in picoBest Conference (Kavala, Greece, ).Screenshots : contains screenshots from the project.Simulator Optimization Experiment : contains the Anylogic Optimization output (Java).Simulator : contains the Anylogic simulator output (Java).Simulator GUI Dashboard : contains the files for Web based Simulator Dashboard (PHP-Laravel).Anylogic Project File : contains the simulation project file (Anylogic 7.X).In this way, the result of the optimization experiment will be even closer to the actual optimal stock policy value than now, where odds are being used. This feature can be achieved by linking the model to an ERP database with real-life data. Using actual data will add more precision to the model and simulation. The above method was chosen because there were no actual product’s demand data where we could base our simulation model. Using modeling and simulation have gave us the ability to study and improve our supply chain by providing us with information that we could not otherwise have.Our model is based on customer-based variables and their orders. To solve the above problem, an optimization experiment was performed, which, considering the experimental stock policies of all agents, calculated the optimal stock policy solution. Our model showed that an agent's stock policy cannot be taken in isolation because it is influenced by other supply chain agents. Using modeling and simulation of stock policy in a supply chain, it has become understandable that stock-related decisions are affected by all those involved in the chain. The supply chain model operates 24 hours a day and consists of four departments: customers, retailer, wholesaler, and factory. Based on this, we attempted to answer the problem using the Anylogic software. Due to the interaction of the members of a supply chain, it is impossible to find a solution to the above problem without the use of modeling / simulation software. Using an optimization experiment we tried to find the optimal inventory policy for specific operating costs. We developed a supply chain simulation model that connects a retailer, a wholesaler and a factory. The purpose is to show how to use software to provide answers to supply chain issues, in particular inventory policy. This master thesis concerns the modeling methods of System Dynamics and Simulation using the Anylogic software.
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