Dynamic Containerization for Delivery Sequence Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing delivery systems are inefficient due to handling items separately along shared delivery paths, leading to increased capacity requirements and decreased throughput, as they do not account for common delivery legs across users.
Innovation Solution
Implementing a containerization approach where items sharing common delivery paths are grouped into containers with unique identifiers and metadata, allowing handling systems to manage them as a single unit, reducing handling touches and optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If items are handled separately on a per user basis, then individual delivery tracking is simplified, but capacity requirements increase and throughput decreases
Solution Approach 1:
The patent merges multiple individual items into a single container that shares common delivery paths. Instead of handling each item separately through the middle mile, items are consolidated into one container unit, reducing the number of handling operations and capacity requirements while maintaining individual tracking through metadata association.
Solution Approach 2:
The patent segments the delivery process into distinct phases: containerization for shared middle mile paths, and individual item handling only for unique last mile portions. This segmentation allows efficient bulk handling where paths converge while maintaining individual item traceability through metadata.
2Device complexity
If items are handled separately, then individual item management is simpler, but the amount of capacity consumed increases
Solution Approach 1:
Multiple items sharing common delivery paths are merged into a single container unit. The container is treated as one physical unit during middle mile transport, significantly reducing the quantity of handling operations and capacity consumption compared to treating each item separately.
Solution Approach 2:
The container acts as an intermediary vehicle that carries multiple items through shared delivery paths. This intermediary structure allows efficient bulk transport while metadata serves as another intermediary layer that maintains individual item information without requiring separate physical handling.
3Speed
If separate handling is used, then individual delivery routes are optimized, but the number of handling touches increases
Solution Approach 1:
Items with common delivery paths are merged into a single container, reducing the number of handling touches from multiple individual operations to a single container handling operation. This dramatically reduces time loss while maintaining route optimization for the shared portion of the journey.
Solution Approach 2:
Items are containerized in advance before entering the middle mile delivery network. This preliminary action of grouping items that share common paths eliminates the need for repeated handling and sorting operations throughout the delivery process, saving significant time and reducing handling touches.
4Reliability
If capacity is exceeded in the middle mile, then last mile deliveries become untimely, but increasing middle mile capacity increases costs
Solution Approach 1:
By merging items into containers that share common middle mile paths, the effective capacity utilization improves. Instead of each item requiring separate capacity allocation, multiple items share the same container capacity, allowing the system to handle higher volumes without proportionally increasing middle mile capacity requirements.
Solution Approach 2:
The patent changes the unit of measurement for capacity from individual items to containers. This parameter change allows more efficient capacity planning and utilization, as containers can be optimized to fit vehicle and facility constraints, improving reliability without linearly increasing capacity requirements.
Data Source
AI summary
Systems and methods for efficiently managing item deliveries are described. In an example, a computer system may identify a first handling sequence of a first item and sequence steps along the handling sequence. The sequence steps may be common to a different handling sequence of a second item. The computer system may determine that the first item should be grouped in a container grouping the second item based on the sequence steps being common. The computer system may generate an identifier and metadata for the container. The identifier may identify the container to handling systems. The metadata may identify the items of the container, a first sequence step to group the first item, and a second sequence step to ungroup the first item. The computer system may distribute the identifier and/or the metadata to the handling systems.