An Agent-Based Approach to Multi-criteria Process Optimization in In-House Logistics

Abstract

One of the crucial enablers of the fourth industrial revolution is the implementation of autonomy in supply chains. Increased autonomy in logistics adds flexibility and robustness to supply chains. However, decentralized local decision making also creates new challenges since optimization problems now have to be solved in a decentralized manner. This research project proposes to apply agent technology to solve optimization problems in a distributed way in order to maintain efficiency while benifitting from the advantages of decentralization.