Topology Planning in Swarm Production System: Framework and Optimization

Abstract A Swarm Production System (SPS) aims to be an agile and resilient Reconfigurable manufacturing system (RMS) paradigm that incorporates mobile workstations transport robots on the factory production floor. This paper primarily focuses SPS’s initial but recurring planning stage termed topology planning, which dynamically changes throughout runtime with spatially adaptive transporters handled exclusively by a Topology Manager (TM). TM is essential multi-variant optimal positioning of provides optimizes traffic flow for product carrier robots. bridge enable SPS integrate general scheduling systems like ERP MES comprised Planner (TP) evaluates ideal configuration floor batch mix Reconfiguration Decision (RDS) decides applying estimated new during changeover. The proposes framework identify its functionalities, responsibilities working principle in swarm system. also describes grid-based heuristic approach applicable two-dimensional spatial problems reduce complexity NP-hard problem. estimate reconfigurable shop layout Force-directed Graph-theory algorithm. stochastic statistical model performance throughput makespan.