Money Handling System Group Segmentation Management
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Solution Overview
Problem
Existing money handling systems are inefficient when dealing with large amounts of money for a single transaction, as they struggle to accurately manage and count different denominations and progress across multiple groups of money using a single machine.
Innovation Solution
A system comprising multiple money handling machines and a management device that assigns recognition information for transactions and groups, allowing each machine to count and transmit results, which are then managed and totalized by the device to provide accurate accounting and progress tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If one operator uses a single money handling machine to count money, then the machine can accurately count and manage the money, but the efficiency is low when handling large amounts of money
Solution Approach 1:
The system divides a large amount of money into multiple groups, with each group assigned a unique group identification. Different operators can simultaneously count different groups using separate money handling machines, thereby increasing overall productivity while maintaining accurate tracking of each group's count results
2Productivity
If multiple money handling machines are used to count large amounts of money, then the counting efficiency increases, but the management and tracking of count results across multiple machines becomes complex and inaccurate
Solution Approach 1:
The management device receives count results from multiple money handling machines, each result being associated with a unique group identification. The management device stores and manages these results, providing feedback information that displays the counting status of each group, thereby ensuring accurate tracking and preventing information loss across the distributed counting system
Solution Approach 2:
The management device acts as an intermediary between multiple money handling machines and operators. It assigns group identifications to each machine, receives and stores count results with their corresponding group identifiers, and provides centralized management of counting information, thereby coordinating the distributed system and preventing information loss
3Productivity
If multiple operators work simultaneously on different groups of money, then the counting speed increases, but the ability to track progress and manage results for each group becomes difficult
Solution Approach 1:
The management device serves as a central intermediary that coordinates multiple operators and money handling machines. It assigns unique group identifications to each group being counted, receives count results from different machines, and manages the results with their corresponding group identifiers, thereby simplifying the complexity of managing multiple simultaneous counting operations
Solution Approach 2:
The system extracts the management function from the individual money handling machines and concentrates it in a separate management device. This allows the counting machines to focus solely on counting while the management device handles the complexity of tracking progress, managing results, and providing feedback information for each group
Data Source
AI summary
A money handling system includes a plurality of money handling machines that are configured to recognize and count money. A management device is provided to assign first and second recognition information for respectively recognizing a transaction of money and for recognizing a group that is created by dividing the money for one transaction. In addition, each money handling machine receives the second recognition information, counts the money of the group corresponding to the second recognition information, and associates the count result with the second recognition information, whereupon the associated count result and second recognition information is transmitted to a management device. The management device manages the count result for each group based on the association between the first recognition information and the second recognition information, as well as on the count results and second recognition information, respectively received from the plurality of money handling machines.