Warehouse Work Management System for Dynamic Recovery Planning
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Solution Overview
Problem
Existing warehouse work optimization systems struggle to adapt quickly to changes in worker attendance or urgent shipping orders, leading to inefficiencies and deviations from the initial work plan.
Innovation Solution
A warehouse work management system that includes a change reception unit for receiving changes in worker assignment or work content, a generation unit for creating a recovery plan based on these changes, and a simulator for calculating the work efficiency of the new plan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a work plan is generated in advance for warehouse operations, then work efficiency and planning stability are improved, but the system becomes unable to adapt quickly to sudden changes in worker availability or shipping orders
Solution Approach 1:
The system performs preliminary simulation of recovery plans before actual changes occur. The simulator evaluates multiple potential recovery scenarios in advance, allowing the system to be prepared with optimal responses before worker changes or shipping order variations actually happen, thus maintaining both stability and adaptability
Solution Approach 2:
The work plan system transitions from a static, fixed schedule to a dynamic, adaptable plan. The generation unit creates recovery plans that can adjust worker assignments and work volumes in real-time based on actual changes, while the simulator continuously evaluates these dynamic adjustments to maintain optimal efficiency
2Adaptability or versatility
If the work plan is changed to accommodate sudden worker availability changes or urgent shipping orders, then adaptability is improved, but work efficiency deviates from the initial plan
Solution Approach 1:
The simulator provides continuous feedback by evaluating the impact of proposed recovery plans on work efficiency. This feedback loop allows the generation unit to adjust recovery plans iteratively, ensuring that changes maintain optimal productivity levels while accommodating necessary adaptability requirements
Solution Approach 2:
The system changes key parameters such as worker assignments, work volumes, and scheduling priorities to generate optimal recovery plans. By systematically adjusting these parameters and evaluating their impact through simulation, the system maintains work efficiency while achieving necessary adaptability
3Adaptability or versatility
If manual adjustment of work plans is performed when changes occur, then adaptability is improved, but time consumption and labor requirements increase
Solution Approach 1:
The system performs self-adjustment through automated simulation and generation of recovery plans. When changes occur, the system automatically simulates potential recovery scenarios and generates optimized plans without requiring manual intervention, thus reducing time consumption while maintaining adaptability
Solution Approach 2:
The patent replaces manual mechanical adjustment processes with an automated information processing system. The simulator and generation unit work together to automatically calculate optimal recovery plans, substituting human decision-making with computational algorithms that operate much faster and more consistently
Data Source
AI summary
[Problem] To make it possible to quickly formulate an optimal warehouse work plan, even if there is a sudden personnel change in warehouse workers or a change in warehouse workload. [Solution] This warehouse work management system, which manages shipping amounts based on shipping orders and work personnel for each step of warehouse operations, receives a change in work personnel and/or work content for a work plan created in advance, creates a recovery plan for the work plan on the basis of the received change content, simulates the created recovery plan, and calculates work efficiency for all the work for that day on the basis of the recovery plan.


