Research on Warehouse Layout Optimization Under "Double Carbon" Target

Achieving the "double carbon" goal of carbon peaking and carbon neutrality is also an issue facing the logistics industry. As an example in this paper, taking warehouse layout proposes an improved systematic layout planning (SLP) method that combines mathematical models and dynamic analysis on SLP. This method constructs a dual-objective mathematical model by quantifying the relationship of logistics influencing factors between functional warehouse areas. The genetic algorithm is used to solve the model and obtain the warehouse layout optimization plan. Finally, the optimization plan is modified and adjusted with the dynamic analysis to get the optimal layout plan. Combined case studies show that the optimal approach's warehouse function area layout is more reasonable than the original method. The SLP and genetic algorithm combination replaces traditional manual calculation, avoids human operation errors, and improves accuracy and work efficiency. It provides a new perspective for similar logistics companies in low-carbon development and industrial automation upgrades.