Hierarchical Stock Allocation System for Warehouse Logistics
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Solution Overview
Problem
Current logistic management systems are limited in their ability to efficiently manage stock allocation across multiple levels of storage locations within large warehouses, often resulting in inefficiencies such as empty bins waiting for restocking and inflexible allocation processes.
Innovation Solution
A system and method that determine the source or destination for stock by using a hierarchy of storage locations, applying primary and refinement rules to identify available storage locations, and dynamically assigning them based on availability and storage characteristics, enabling flexible allocation across various levels and types of storage environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current systems allocate stock only to physical storage locations like bins, then the allocation process is simple, but the system lacks flexibility and cannot efficiently manage stock across multiple levels of storage locations in large warehouses
Solution Approach 1:
The storage location hierarchy is segmented into multiple levels (e.g., warehouse, zone, aisle, bin) allowing stock allocation to be performed at different granularities. This enables flexible allocation strategies where stock can be assigned to specific bins or broader areas depending on availability and requirements, resolving the contradiction between simplicity and flexibility.
Solution Approach 2:
The system adds a hierarchical dimension to traditional flat allocation structures. By organizing storage locations into parent-child relationships across multiple levels, the system enables allocation both within specific bins and across broader zones, providing versatility without requiring complete redesign of the allocation mechanism.
2Productivity
If bins are assigned to particular products and remain empty when out of stock, then product-specific storage is maintained, but productivity decreases due to empty bins waiting for restocking
Solution Approach 1:
The system dynamically reassigns storage locations based on real-time stock availability. When a bin is depleted, the system can automatically allocate the same or another bin to a different product, eliminating idle time. This dynamic reallocation capability directly addresses the productivity loss from static product-bin assignments.
Solution Approach 2:
The system continuously monitors stock levels and allocation status, using this feedback to make real-time decisions about reassigning storage locations. When a bin is empty or a product is out of stock, the feedback mechanism triggers reassignment operations, ensuring continuous productivity without unnecessary waiting time.
3Ease of manufacture
If a single allocation structure is used for all storage locations, then design and maintenance are simplified, but the system cannot optimize for different storage characteristics and local rules
Solution Approach 1:
While maintaining a single unified allocation structure, the system allows different storage locations to have unique local rules and characteristics. Each bin or zone can be configured with specific properties (e.g., product type restrictions, priority levels, capacity constraints) that are applied only where needed, enabling optimization without system complexity.
Solution Approach 2:
The allocation structure is designed as a universal framework that can handle multiple storage location types and scenarios through a single consistent mechanism. This multi-functional design allows the same allocation logic to serve different products, locations, and requirements, simplifying maintenance while adapting to local needs through configuration rather than structural changes.
Data Source
AI summary
In a first general aspect, a computer program product tangibly embodied in an information carrier is described. The computer program product includes instructions that, when executed, perform operations for identifying a source or destination for stock. The operations include receiving an electronic request to determine a source or destination for stock, identifying, using a primary rule, a logistic area database object that represents a storage location at one of multiple levels of a hierarchy of storage locations. The logistic area database object is associated with a value that indicates an amount of stock that is associated with the storage location. The operations also include transmitting an identifier specifying the logistic area database object if the value indicates that associated storage location is available as a source or destination. The identifier is used to assign the storage location as the source or destination for the stock.