Interactive simulator of complex supply-chain dynamics with customer preference feedback

Abstract

The interactive simulator Distributed Logistic Simulation (DLS) capable of interaction with human actors is presented. The tool can be used to train teams of logistic operators and/or to analyze and optimize the performance of existing supply chains. The system is modularized in elementary blocks representing stations that can be combined in multiple configurations to cover a wide range of supply chain scenarios. A model of final market demand is introduced which is guided by an algorithm of customer preferences. Scenarios of two stations in parallel and in series are analyzed to demonstrate the simulator capabilities.