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be significant. This means that high investment warehouses are even less efficient if they are also large. ? No matter how we segment the data, a very large proportion of warehouses are operating at or below 50% system efficiency. While this may reflect seasonal fluctuations in customer orders, it still represents a very significant opportunity for improvement. 169。 2023 Geia TechMore Results? The opportunity for improvement seems largest for the segment of warehouses doing predominantly full case picking. In that segment, a smaller proportion of the warehouses are efficient39。 than in any other segment, and a larger proportion are operating below 50% efficiency. 169。 2023 Geia TechOther Data Requirements? Type (wholesale, retail, manufacturing)? Industry (pharma, auto, electronics, …)? Order volume? Sku spread? Order size distribution? Pallet/case/each distribution? Planning horizon? Degree of automation? Push vs Pull? Picking strategy?? Sorta …169。 2023 Geia TechStill More Data Requirements? Practices– WMS?– Compliant shipping?– Space utilization?– Velocity based slotting– etc? Diagnostics– cost/carton shipped– value added services– inventory accuracy– etc169。 2023 Geia TechWe are very interested in exploring the development of pany specific benchmarking tools (., multiple sites in the same pany).We are very interested in exploring the development of variants of the tool for use in budget planning for a single site.169。 2023 Geia TechQuestions?169。 2023 Geia Tech演講完畢,謝謝觀看!