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Things to consider when optimizing warehouse flows

<p><strong>Warehouse Layout or Warehouse Design is a Constant Topic of Discussion<&sol;strong><&sol;p>&NewLine;<p>Automation of various kinds is on everyone&&num;8217&semi;s lips&comma; but we still have a large portion of handling in traditional warehouses with manual picking in racks and shelves&period;<&sol;p>&NewLine;<p>The physical layout is important&comma; how should packing areas&comma; goods reception areas&comma; etc&period;&comma; be positioned in relation to storage&sol;picking locations&quest; How should different picking areas be positioned in relation to each other&quest;<&sol;p>&NewLine;<p>There are several established methods for designing a layout that fits your specific flow&period; One is Systematic Layout Planning &lpar;SLP&rpar;&comma; another is Systematic Handling Analysis &lpar;SHA&rpar;&period; They are often used together as they complement each other&period;<&sol;p>&NewLine;<p>These methods have been around for a few years and were primarily developed for manufacturing logistics&period; There has been some research on alternative layouts&comma; such as Flying-V and Fishbone layouts&period; With simulations&comma; driving&sol;walking distances have been reduced by 10&percnt;-20&percnt;&period; However&comma; investing in such a layout can be perceived as risky considering it is not an established technique and WMS are not adapted for it&period;<&sol;p>&NewLine;<p>Overall today&comma; it is recommended to perform simulations on your specific goods and flows&period; It is the only way to ensure that you design an optimal layout&period; Especially in large warehouses with many picking zones and several packing areas&period; With large flows&comma; it can have significant consequences for cost efficiency if done incorrectly&period;<&sol;p>&NewLine;<p>If we look at e-commerce logistics and B2C in general&comma; there is a big difference in flows compared to traditional B2B&period; Often&comma; orders have few lines and few quantities&period; The challenge is to get as much picked in as short a distance as possible&period; With large manual flows of&comma; for example&comma; FMCG products&comma; floating storage locations may be preferable&period; You can create smaller locations for increased volume efficiency and picking density&period; You can distribute a high-frequency picking item in several places to reduce bottlenecks&period; With rapid changes in picking frequency&comma; you can change the status of an item and place a former A item in a C location and let the A location be picked first&period; This way&comma; you avoid unnecessary and costly relocations of goods&period;<&sol;p>&NewLine;<p>But to achieve really good efficiency&comma; you need to take it a step further and use AI&period; Several WMS work with dynamic slotting where AI continuously evaluates where an item should be placed&period; Additionally&comma; AI can see how an item should be placed in relation to other items that are often picked together&period; When tests have been conducted on this&comma; it turns out that it is not at all certain that there is logic in which items are picked together and the relationships between the items constantly change&period; Predictive AI can analyze and forecast for&comma; for example&comma; seasons and adjust location and location type for optimal volume utilization&period; AI can also create the optimal route in the warehouse with real-time data and can look at factors such as which picking locations are currently under high load&comma; thereby avoiding waiting time&period;<&sol;p>&NewLine;<p>Designing an optimal warehouse layout is so much more than just looking at the arrangement of racks&period; WMS is an incredibly important tool for creating the best conditions for cost-effective flows&period; Together with AI&comma; it becomes even more efficient&period;<&sol;p>&NewLine;

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