Impact of Trust on Agent-Based Simulation for Supply Chains

Companies in supply chains have a goal to optimize their productivity, and hence their profits. One way to study the behavior of these chains is to simulate them using a multi-agent approach. In this work, we propose an extension of a model used in the literature, called the Beer Game, by adding multiple agents in each of its levels to evaluate both the local and global performance of the suppliers. We use different agent profiles, based either on trust or on price. By enabling clients to ask supplier suggestions from their peers, we measure how these peers' suggestions and lies affect working capital and trust measures for different agent profiles.