Tedarik zincirleri için etmen bazlı bir pazarlık yöntemi

A supply chain is a network enabling the flow of goods from suppliers to end customers. In a supply chain, suppliers, manufacturers, distributors and retailers interact with each other to buy, process, store and sell products. In an efficient supply chain the main aim is to minimize the costs while maximizing the profits. To achieve this, the supply chain entities interact with each other wisely. For example, they need to agree on contracts maximizing their profits but not causing infeasibilities in the delivery or payment. In this thesis we worked on a supply chain simulation, namely the supply chain world, which has been used in Supply Chain Management League (SCML) of Automated Negotiating Agents Competition (ANAC), an international supply chain competition. In the supply chain world simulation environment, we proposed a factory manager agent which can procure products from other agents, processing some of them, and sells it with profit to other agents. The interactions with other agents are done in closed bilateral negotiations protocol. The motivation of the proposed agent is determining a good level of altruism and greediness in negotiations depending on the supply and demands of products. To evaluate the performance of the proposed agent strategy, we run a number of simulations and compare the performance of our agent with the performance of the top performing agents in the SCML 2019. The experiment results show that our agent, MyGreedyAgent, managed to adjust its greediness and altruism effectively based on the supply demand ratio and performed as well as ANAC 2019 top agents.