Delivery Vehicle Stopping Location Management
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Solution Overview
Problem
The overall efficiency of delivery work by vehicle is hindered by the lack of optimal stopping location determination, which affects delivery time and impact on surroundings.
Innovation Solution
A management method and apparatus that determine a stopping location for delivery vehicles based on vehicle classification data, delivery environment information, and stopping environment information, using a controller to minimize impact and optimize delivery efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If stopping location is not optimized, then delivery speed may be maintained, but delivery efficiency decreases and negative impact on surroundings increases
Solution Approach 1:
The management apparatus determines the stopping location in advance before the vehicle arrives at the delivery destination. By pre-calculating the optimal stopping location based on vehicle classification data, delivery environment information, and stopping environment information, the system prepares the delivery plan ahead of time, enabling efficient execution without causing negative impacts on the surroundings during actual delivery
Solution Approach 2:
The system continuously receives and processes delivery environment information and stopping environment information, using this feedback to dynamically determine and adjust the optimal stopping location. This feedback mechanism ensures that the stopping location decision accounts for real-time conditions, balancing delivery efficiency with minimal impact on the surrounding environment
2Productivity
If multiple factors are considered for stopping location, then delivery efficiency improves, but system complexity increases
Solution Approach 1:
The management apparatus serves multiple functions within a single system: it manages vehicle information, processes delivery environment data, analyzes stopping environment conditions, and determines optimal stopping locations. By consolidating these diverse functions into one multi-functional apparatus, the system achieves high delivery efficiency through comprehensive factor consideration while avoiding the complexity of multiple separate systems
Solution Approach 2:
The system determines stopping locations by analyzing and comparing multiple parameters including vehicle classification data, delivery environment information, and stopping environment information. By systematically processing these variable parameters through the management apparatus, the system optimizes delivery efficiency while maintaining manageable complexity through structured parameter analysis
Data Source
AI summary
A management method includes determining, by a management apparatus, a stopping location for a vehicle used for delivery, based on vehicle classification data on the vehicle, delivery environment information, and stopping environment information during the delivery.