Vehicle Item Supply Layout With Dynamic Order-Based Positioning
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Solution Overview
Problem
Conventional logistics systems for home delivery are inefficient and slow, leading to long distribution periods and high traffic and emissions, with existing optimization solutions failing to adequately address the complexity of the distribution process.
Innovation Solution
A logistics system comprising an item supply system and data management system that allows for dynamic item positioning based on real-time sales order information, integrated with a vehicle, enabling efficient and customer-friendly delivery through modular components like paternoster devices, thermal management, and intelligent interfaces for energy and data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional logistics systems are used for home delivery, then the distribution process can be maintained with existing infrastructure, but the system becomes slow and inefficient leading to long distribution periods and high traffic and emissions
Solution Approach 1:
The logistics system is segmented into modular components including item supply systems, data management systems, thermal management devices, and movement devices. This segmentation enables independent optimization of each module and facilitates flexible reconfiguration for different delivery scenarios, thereby improving delivery speed and reducing distribution periods
Solution Approach 2:
The system employs dynamic positioning of items within the vehicle based on real-time sales order information. Items can be automatically moved to optimal positions using movement devices, and the system adapts to changing delivery requirements dynamically, significantly reducing distribution time compared to static conventional systems
2Productivity
If more vehicles and drivers are deployed to handle increasing delivery flows, then delivery capacity can be maintained, but traffic and emissions increase
Solution Approach 1:
The system changes operational parameters by implementing real-time data management and dynamic route optimization. By processing sales order information and automatically adjusting item positions and delivery sequences, the system maximizes vehicle utilization and reduces the number of vehicles needed, thereby decreasing emissions while maintaining delivery capacity
Solution Approach 2:
The data management system continuously receives feedback from sales orders and tracking devices, enabling real-time optimization of delivery routes and item positioning. This closed-loop feedback mechanism allows the system to adapt to changing conditions efficiently, reducing unnecessary vehicle movements and associated emissions
3Device complexity
If mathematical calculations and hub solutions are used for optimization, then some complexity can be managed, but the solutions can only deal with emerging complexity to a limited extent
Solution Approach 1:
The system replaces manual mathematical calculations with automated data management systems and algorithms. The data management system automatically processes sales order information, calculates optimal item positions, and controls movement devices, enabling the system to handle complex optimization scenarios that go far beyond the capabilities of conventional manual methods
Solution Approach 2:
The data management system serves multiple functions simultaneously: it processes sales orders, optimizes item positioning, tracks delivery status, and communicates with thermal management and movement devices. This multi-functional approach enables the system to handle various types of complexity uniformly, greatly enhancing adaptability and versatility
Data Source
AI summary
A logistics system is provided for shipping items using a vehicle. A system of this type comprises: an item supply system which is designed to be transported in a vehicle; and a data management system which is designed to link at least one item, present in at least one position in the item supply system, with at least information from at least one sales order, and is designed to link all components of the logistics system with at least one external input or output device such that they interact. Depending on the information from the at least one sales order, the at least one position of the at least one item in the item supply system is variable, and the at least one item is removably stored in the item supply system.