Delivery support method, delivery support system, and storage medium storing delivery support program
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Solution Overview
Problem
Current delivery systems face challenges in securing sufficient cooling power for transporting refrigerated and frozen articles, as the arrangement of items in cooling boxes relies on operator experience and do not efficiently adjust to varying delivery conditions, and there is a need for improved circular economy practices with disposable cold storage materials.
Innovation Solution
A delivery support method and system that utilizes a cold insulation analysis model to optimize the cooling time and arrangement pattern of articles in a delivery box, executed by a processor in cooperation with a storage medium, which analyzes the cooling time based on the arrangement pattern and outputs optimum data for securing necessary cooling power based on delivery conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the arrangement of articles in cooling boxes relies on operator experience, then the operation flexibility is maintained, but the cooling power sufficiency cannot be secured
Solution Approach 1:
The system enables self-service by automatically determining optimal article arrangements and cooling conditions through the cold insulation analysis model, eliminating dependence on operator experience while maintaining operational efficiency. The processor autonomously calculates cooling power requirements and generates arrangement patterns based on input parameters.
Solution Approach 2:
The patent replaces the mechanical reliance on operator experience and manual arrangement determination with an automated information processing system. The cold insulation analysis model and processor substitute human judgment with computational analysis, ensuring consistent and reliable cooling power sufficiency.
2Ease of manufacture
If disposable cold storage materials are used, then the ease of manufacture and deployment is improved, but the circular economy principles are compromised
Solution Approach 1:
The system optimizes parameters such as cooling time, article arrangement patterns, and cold storage material quantities to minimize waste and improve efficiency. By precisely calculating required cooling power and duration, the system reduces unnecessary material consumption and enables better resource utilization in circular economy frameworks.
Solution Approach 2:
The cold insulation analysis model provides feedback on cooling effectiveness and material usage, enabling optimization of disposable material deployment. This feedback mechanism allows for reduced material consumption while maintaining cooling efficacy, supporting circular economy objectives.
3Use of energy by moving object
If the cooling time and arrangement pattern are not optimized, then the device complexity is reduced, but the energy consumption increases
Solution Approach 1:
The system performs preliminary calculation of optimal cooling times and article arrangement patterns before the actual delivery process. The cold insulation analysis model pre-determines the most energy-efficient configuration based on input parameters, allowing the delivery vehicle to follow an optimized cooling strategy from the outset, thereby reducing overall energy consumption.
Solution Approach 2:
The patent creates a virtual model (cold insulation analysis model) that replicates the thermal behavior of the delivery box and its contents. This digital copy allows for simulation and optimization of cooling scenarios without physical experimentation, enabling energy optimization while maintaining manageable system complexity.
Data Source
AI summary
A delivery support method executed by a processor with a storage medium in order to support a delivery process by a delivery vehicle for articles to be cooled in a delivery box includes: reading, from the storage medium, a cold insulation analysis model for analyzing a cooling time according to an arrangement pattern of the articles in the delivery box; and outputting optimum data in which the cooling time and the arrangement pattern are optimized by the cold insulation analysis model to which a delivery condition of the article is input.