env = simpy.Environment() env.process(picker(env, 45)) # 45 seconds per pick env.run(until=480) # 8-hour shift
Abstract Warehouse simulation software allows logistics managers, industrial engineers, and students to model material flows, test layout changes, and optimize operations without disrupting real-world systems. While commercial packages (e.g., AnyLogic, FlexSim, Simio) are powerful, they carry high licensing costs. This paper explores viable free alternatives—ranging from open-source general-purpose simulators to vendor-limited free editions and academic tools—highlighting their capabilities, limitations, and ideal use cases for warehouse modeling. 1. Introduction Modern warehouses face pressure to increase throughput, reduce travel time, and integrate automation (AGVs, AS/RS, pick-to-light). Simulation helps answer: How many pickers are needed? Where should fast-moving SKUs be stored? Will a new sorter create bottlenecks? Free simulation software lowers the entry barrier for small businesses, startups, and educational settings. warehouse simulation software free
import simpy def picker(env, sku_time): yield env.timeout(sku_time) env = simpy
