Smart Warehouse Baggage Loading with Pre-Set Storage and Elevators
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Solution Overview
Problem
Conventional baggage storage systems face challenges in efficiently managing the arrival and placement of baggage due to unpredictable arrival times and static resource allocation, leading to delays and inefficient use of resources like elevators.
Innovation Solution
A method and apparatus that determine optimal storage spaces and movement paths within a smart warehouse based on baggage status information and traffic conditions, allowing for pre-setting before arrival, ensuring efficient placement and quick handling of baggage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static scheduling methods are used for baggage placement, then the system is simple to operate, but it cannot respond to unexpected situations and causes delays
Solution Approach 1:
The system performs preliminary actions by pre-determining storage spaces and pre-setting elevator movements before baggage arrives. The scheduling terminal apparatus calculates estimated arrival times and proactively reserves storage spaces and elevator routes, so that when baggage actually arrives, the infrastructure is already prepared and ready for immediate loading, eliminating delays caused by reactive scheduling.
2Ease of operation
If static resource allocation is used for elevators, then resource assignment is simple, but it prevents immediate processing of unexpected baggage arrivals
Solution Approach 1:
The system transitions from static to dynamic resource allocation by continuously monitoring baggage arrival predictions and adjusting elevator assignments in real-time. The scheduling terminal apparatus dynamically assigns elevators to storage spaces based on predicted arrival times and actual baggage characteristics, allowing the system to adapt to unexpected arrivals while maintaining operational simplicity through automated decision-making.
3Productivity
If pre-setting storage spaces and elevator movements is implemented, then baggage placement speed increases, but the system complexity increases
Solution Approach 1:
The scheduling terminal apparatus performs self-service by automatically calculating storage space assignments, determining elevator routes, and coordinating movements without requiring manual intervention. The system self-manages the complexity of coordinating multiple elevators and storage spaces through automated algorithms that process baggage characteristics and predicted arrival times, thereby achieving high placement speeds while containing complexity within the automated system boundaries.
4Device complexity
If storage spaces are allocated based on actual arrival processing, then the system is simple to implement, but it causes delays when storage spaces are fully occupied
Solution Approach 1:
The system performs preliminary actions by pre-determining storage spaces and reserving them before baggage actually arrives. The scheduling terminal apparatus calculates estimated arrival times and proactively assigns storage spaces based on predicted patterns, so that when baggage arrives—even during peak periods—the required storage space is already reserved and ready, eliminating delays caused by searching for available spaces at the moment of arrival.
Data Source
AI summary
According to one embodiment of the present disclosure relates to a method for scheduling baggage loading in a smart warehouse, performed by a smart warehouse terminal apparatus. The method includes determining a storage space in the smart warehouse for storing a baggage based on baggage status information of the baggage loaded onto a cargo vehicle upon completion of loading the baggage onto the cargo vehicle at a destination; calculating an estimated arrival time at which the cargo vehicle is expected to arrive at the smart warehouse based on traffic status information between the smart warehouse and the destination; and initiating a pre-setting process at a required point in time within the estimated arrival time to load the baggage from the cargo vehicle into the determined storage space in the smart warehouse.