Optimizing Picking Strategies in Luxury E-Commerce Logistics: A Simulation-Based Approach

Abstract

Optimizing order fulfillment is crucial for logistics centers, especially in e-commerce with luxury fashion, where dynamic conditions and strict customer expectations regarding speed, accuracy, and service significantly increase complexity. This study applies a three-phase simulation-based approach: First, the existing system is analyzed and modeled, then optimized picking strategies are implemented using heuristic methods, and finally their impact is evaluated through discrete event simulation. The results show measurable improvements with a productivity increase of up to 4% and a 2% improvement in service levels, highlighting the value of simulation-based optimization for increasing efficiency and service quality in luxury fashion logistics.