Cargo Bed Container Layout for Dense Parcel Loading

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Solution Overview

Problem

Existing loading systems on collection and delivery vehicles face inefficiencies due to varying package shapes and sizes, leading to wasted space and suboptimal transportation efficiency.

Innovation Solution

A loading support system that selects suitable standardized containers based on load shape and determines optimal loading locations using empty space and route information, allowing for dense arrangement and improved workability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If packages are classified into shape groups according to similar shapes and sizes, then loading process is simplified, but useless space is generated in the assembly of packages

Engineering Contradiction:
Improveloading process simplicityVSAvoidtransportation efficiency
Core Design Contradiction:
Ease of operationVSLoss of energy

Solution Approach 1:

The cargo bed is divided into multiple regions, and packages are selectively placed in different regions based on their individual shapes and sizes rather than grouping by similarity. This segmentation allows optimal fitting of each package to minimize empty space while maintaining simple loading operations.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different loading strategies are applied to different regions of the cargo bed based on local characteristics. Packages are assigned to specific regions where their dimensions best match the available space, creating locally optimized arrangements that collectively maximize overall space utilization.

Inventive Principle:
Principle #3Local quality

2Productivity

If packages are classified into shape groups, then loading speed is improved, but transportation efficiency deteriorates due to wasted space

Engineering Contradiction:
Improveloading speedVSAvoidcargo capacity
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The system performs preliminary determination of optimal loading locations for all packages before actual loading begins. This advance planning identifies the best fit for each package in the cargo bed, ensuring maximum cargo capacity is achieved while maintaining efficient loading execution.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system creates a virtual model or plan of the cargo bed layout that represents the optimal arrangement of packages. This copied plan is then used to guide the actual loading process, allowing fast execution based on pre-calculated optimal positions without sacrificing cargo capacity.

Inventive Principle:
Principle #26Copying

3Quantity of substance

If standardized containers are selected based on load shape, then space utilization is improved, but system complexity increases

Engineering Contradiction:
Improvecargo bed utilizationVSAvoidcontainer selection system
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

A single container selection unit performs multiple functions: it identifies suitable standardized containers based on load shape, determines optimal loading locations within the cargo bed, and coordinates the loading process. This multi-functionality improves cargo bed utilization while avoiding the complexity of separate specialized systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The container selection unit automatically determines optimal container assignments and loading positions based on load characteristics without requiring complex external intervention. The system serves itself by using available information about load shapes and cargo bed geometry to make optimal decisions independently.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11807475B2Loading support system
Publication Date: 2023.11.07 TOYOTA JIDOSHA KK
  • US11807475B2 patent drawing
  • US11807475B2 patent drawing
  • US11807475B2 patent drawing

AI summary

There is provided a loading support system including a container selection unit configured to select a container, which is suitable for a shape of a load to be loaded on a cargo bed of a collection and delivery vehicle, from a plurality of standardized containers having different shapes, and a loading location determination unit configured to determine a loading location of the container, which is selected by the container selection unit, in the cargo bed.