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RightChain Slotting | Slotting as a Service
RightChain has been slotting warehouses for 30+ years. It started in 1990 with Dr. Frazelle's award wining slotting optimization algorithms used to maximize picking productivity, storage density, and picking accuracy in major distribution centers at Avon, Baxter, Honda, LL Bean, and Texas Instruments. Those same algorithms have been enhanced continuously and have moved from PC desktop implementations to the current SLOTTING AS A SERVICE model offered as a CloudAI platform or as an API call by WMS or ERP. For pallets, cases, and eaches, the functionality includes storage mode optimization and justification; space and lane allocation optimization; slot location optimization; cost minimization; demand correlation; and re-slot optimization.
Min Cost Picking
Minimizes labor, space, equipment and error costs.
Assigns each SKU to its optimal storage mode.
Optimizes pick face sizes, and space/lane allocations.
Optimizes slot and re-slot location assignments.
Minimizes cost via optimal storage and handling assignments.
Computes and configures optimal racking designs.
Locates demand correlated items next to each other.
Recommends and ranks optimal re-slotting moves.
Case pick line optimization for convenience store DC operations.
Minimizing small parts picking and storage costs.
Pallet storage mode and lane optimization for auto parts.
Forward reserve optimization for broken case picking.
Maximizing storage density with lane depth optimization.
Pick face and slot location optimization for auto parts picking.
Storage mode optimization for small parts picking.
Demand correlation maximizes picking productivity.
Large parts slotting optimization shrinks picking tours.
Maximizing picking productivity and accuracy in literature distribution.
Carousel pick to light slot optimization.
Justifying and optimizing automated dispensing.
Slot location optimization for thousands of small parts.
American Cancer Society
Minimizing travel distance and maximizing storage density.
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