Inventory System Force Limit Learning for GCU Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
High-capacity inventory systems face inefficiencies in space utilization due to conventional robots' inability to optimize gross cubic utilization (GCU) and lack of awareness about force limits of items, leading to suboptimal storage and increased costs for infrastructure changes.
Innovation Solution
An inventory system that learns and updates force limits for items by monitoring their compression during storage, using robotic arms to apply forces and adjust based on position changes, allowing for optimized storage strategies and improved GCU.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional robots are used for item storage and retrieval, then ease of operation is maintained, but gross cubic utilization (GCU) of storage space cannot be optimized due to inability to apply appropriate compression forces
Solution Approach 1:
The system dynamically changes the compression force parameter applied to items based on learned force limits. By adjusting this physical parameter, the robot can optimize storage density without requiring structural changes to the storage system, thereby improving GCU while maintaining operational simplicity
Solution Approach 2:
The system implements feedback by monitoring item position changes during compression and using this information to update force limit parameters. This closed-loop control enables the robot to learn and adapt to each item's compression characteristics, optimizing storage space utilization while preventing damage
2Volume of moving object
If items are stored in tight spaces to optimize GCU, then storage space utilization improves, but item damage occurs due to excessive compression forces
Solution Approach 1:
The system performs preliminary learning of force limits for each item type before actual storage operations. By pre-determining safe compression forces through controlled experiments and storing this information in a database, the system can subsequently apply appropriate forces that maximize storage density without causing damage
Solution Approach 2:
The system enables items to effectively communicate their compression tolerance through position sensing feedback. By monitoring how much an item moves under applied force, the system automatically determines safe compression limits without requiring manual intervention or external guidance, thereby preventing damage while optimizing space
3Productivity
If the size or capabilities of inventory systems are expanded to handle more items, then productivity increases, but infrastructure changes require prohibitively expensive costs
Solution Approach 1:
The system increases productivity by changing operational parameters (compression forces, storage arrangements) rather than physical infrastructure. By optimizing how existing space is utilized through learned force limits and intelligent packing, the system can handle more items without requiring expensive expansion of storage facilities
Solution Approach 2:
The system applies partial compression forces tailored to each item's characteristics rather than uniform maximum compression. This selective approach allows tighter packing of compressible items while maintaining operational simplicity, thereby improving storage capacity and throughput without infrastructure changes
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively optimizes storage space utilization, preventing damage to items and reducing the need for costly infrastructure changes by determining safe force limits for each item, thereby enhancing system performance and flexibility.
Implementation Method 1
push the item into the storage location by applying the determined force
Data Source
AI summary
Described herein are techniques for optimizing gross cubic utilization of inventory space by compressing items into closer proximity. In some embodiments, the inventory system selects an initial force limit to which an item to be stored may be subjected. The inventory system may cause a robotic arm to grasp the item and to push that item into a determined storage location. The inventory system then pushes the item into the storage location while applying a force up to the initial force limit to the item. While monitoring the position of the item, the inventory system may detect that the changes in position of the item are decreasing or stopping and determine that the item is approaching its force limit. The inventory system then updates database records with the force limit associated with the item.