Delivery support method, delivery support system, and delivery support program
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Solution Overview
Problem
Existing delivery technologies lack the ability to securely adjust cooling power based on delivery conditions, particularly when using non-cold storage vehicles, and there is a need for improvements in circular economy considerations regarding disposable cold insulation materials.
Innovation Solution
A cold insulation analysis model is used to optimize cooling time and arrangement patterns within delivery boxes, taking into account delivery conditions, vehicle capabilities, and environmental factors to determine the necessary cooling power and arrangement patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If a cold storage vehicle is used for delivery, then the cooling power is sufficient, but the cost increases and adaptability decreases
Solution Approach 1:
The cooling function is segmented from the vehicle itself and transferred to the delivery box. The delivery box becomes an independent cooling unit with its own insulation structure and cooling materials, allowing standard vehicles to perform cold delivery without requiring specialized cold storage vehicles.
Solution Approach 2:
The delivery box acts as an intermediary between the standard vehicle and the cooling requirement. It provides the necessary insulation and cooling materials (ice packs, gel packs, or refrigerated containers) to maintain temperature during transport, enabling standard vehicles to deliver temperature-sensitive goods.
2Temperature
If disposable cold insulation materials are used, then the cooling requirement is met, but the circular economy is compromised
Solution Approach 1:
The system enables recovery and reuse of cooling materials. Ice packs and gel packs can be collected after delivery, refrozen, and reused for subsequent deliveries. The delivery box itself is designed for repeated use, reducing waste compared to disposable solutions.
Solution Approach 2:
The patent acknowledges that while reusable materials are preferable, there are scenarios where disposable insulation materials may be necessary. The system provides flexibility to choose between reusable and disposable materials based on delivery requirements, with reusable options being the default preference.
3Ease of operation
If the arrangement form is determined by operator experience, then flexibility is maintained, but cooling power cannot be secured
Solution Approach 1:
The system performs preliminary calculation of the optimal arrangement pattern before delivery. Based on the delivery conditions (distance, temperature requirements, box size), the system pre-determines how cooling materials and goods should be arranged to maximize cooling efficiency, eliminating the need for operator guesswork.
Solution Approach 2:
The system incorporates feedback mechanisms to optimize arrangement patterns. By analyzing delivery data from previous routes and conditions, the system learns and improves its arrangement recommendations, ensuring adequate cooling power while maintaining operational simplicity.
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
This approach ensures the necessary cooling power is secured for delivery, optimizes energy use, and balances cooling requirements with circular economy principles by determining optimal arrangement patterns and energy consumption.
Implementation Method 1
cold insulation analysis model for analyzing cooling time according to an arrangement pattern of articles in a delivery box
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A delivery support method executed by a processor (72) with a storage medium (70) in order to support a delivery process by a delivery vehicle (4) for articles (3) to be cooled in a delivery box (2) includes: reading, from the storage medium, a cold insulation analysis model (Ma) for analyzing a cooling time (tc) according to an arrangement pattern (Pp) of the articles in the delivery box; and outputting optimum data (Do) in which the cooling time and the arrangement pattern are optimized by the cold insulation analysis model to which a delivery condition (C) of the article is input.