Discover how evaluating your warehouse practices can uncover opportunities to increase storage density, improve productivity, and reduce operating costs. Is Your Warehouse Operating at Its Full Potential? Every warehouse has opportunities for improvement. Some are easy to identify, while others remain hidden within everyday operations. Inefficient pallet storage configurations, suboptimal picking practices, and poorly designed slotting strategies can quietly limit warehouse c

How Pallet Storage, Picking, and Slotting Optimization Can Unlock Capacity, Reduce Cost, and Improve Warehouse Performance

The Wisdom for Warehousing course includes Dr. Frazelle's lecture video at Georgia Tech, a fully edited and illustrated course, richly illustrated course slides, an excerpt from his World Class Warehousing book, video tours of the some of the world's best warehouse operations, and an assessment tool to compare your operations with best practices.

Warehouse storage capacity should not automatically be designed for peak demand. The optimal size depends on the peak-to-average ratio and how long the peak lasts. Short, extreme peaks can be managed with temporary storage, off-site warehousing, or delayed inbound shipments, while longer, moderate peaks justify building capacity closer to peak requirements.

Designed using Dr. Frazelle’s World-Class Warehousing principles, the award-winning ACS Logistics Center combines AI-based slotting, packing optimization, ergonomics, automated cubing, ASRS, intelligent packing, and sorting. The design enabled ACS to consolidate its nationwide distribution network, improve warehouse efficiency, and redirect millions of dollars toward cancer research.

Zone picking can reduce travel, minimize congestion, strengthen product-location familiarity, and increase operator accountability. Examples from Xerox and True Value show how dedicated zones can improve productivity and accuracy—and even reveal slotting opportunities. However, these benefits must be weighed against added costs and control complexity through optimization and simulation before selecting the best picking design.