Dynamic Simulation to Cut Order-Pick Time in Car Warehouses
Dynamic Simulation Analysis for Various Numbers of Orders in an Integrated Car-Manufacturing Warehouse
Tags: Universiti Malaya, Malaysia, Consumer Goods & Services, Computing Technology
This technology uses dynamic simulation to optimize order-picking processes in an integrated car-manufacturing warehouse. The simulation reduces travel time for order pickers by 44.89%, leading to lower costs and higher efficiency in fulfilling customer orders. By simulating real scenarios with varying order volumes, the model visualizes improvements in operational performance and customer satisfaction. Applications include optimizing warehouse logistics in automotive manufacturing and retail operations. The simulation results highlight potential reductions in customer waiting times and operational costs.
IP Type or Form Factor: Discovery & Research; Software & Algorithm
TRL: 4 - minimum viable product built in lab
Industry or Tech Area: Retail & E-Commerce; Big Data Analytics & Simulations
