Warehouse Worker Idle Time Tracking via Sensor Insight Module
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Solution Overview
Problem
Current warehouse management systems lack real-time monitoring and reporting, leading to inefficient labor allocation and increased idle time among workers, which affects productivity and operational costs.
Innovation Solution
A connected warehouse system that utilizes sensor devices and worker computing devices to aggregate and analyze data in real-time, providing dynamic allocation of workers and generating a real-time dashboard for idle time tracking and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time monitoring and data aggregation systems are implemented, then worker performance tracking and idle time detection improve, but system complexity and implementation costs increase
Solution Approach 1:
The patent introduces an insight module as an intermediary component that aggregates data from multiple sensor devices and worker computing devices. This module processes raw data from various sources (sensors, computing devices) and transforms it into actionable performance metrics and idle time detection, simplifying the overall system architecture while maintaining high measurement precision through centralized data processing
Solution Approach 2:
The system employs a multi-functional architecture where the insight module serves multiple purposes: aggregating data from diverse sources, analyzing worker performance metrics, detecting idle time, and generating real-time reports. This universal approach consolidates what would otherwise require separate specialized systems, reducing overall complexity while achieving comprehensive worker monitoring
2Productivity
If comprehensive data collection from multiple sensors and devices is performed, then worker allocation optimization improves, but data processing time and computational resources increase
Solution Approach 1:
The insight module performs preliminary data aggregation and filtering continuously in the background, preparing processed data before it is needed for decision-making. By pre-processing data from multiple sensors and devices, the system reduces the computational burden during critical allocation decisions, enabling faster worker allocation optimization without sacrificing comprehensive data analysis
Solution Approach 2:
The system implements real-time feedback loops where performance metrics and idle time detection results are immediately fed back into the worker allocation system. This continuous feedback mechanism allows the system to dynamically adjust worker allocation based on current conditions, improving productivity while minimizing delays through iterative real-time processing rather than batch processing
3Loss of information
If real-time dashboard and reporting systems are deployed, then operational visibility and decision-making improve, but infrastructure costs and system maintenance increase
Solution Approach 1:
The patent combines multiple reporting and visualization functions into a unified real-time dashboard interface. By merging performance metrics, idle time detection, and worker allocation data into a single integrated view, the system achieves comprehensive operational visibility without requiring separate infrastructure for each function, thereby reducing overall system complexity and maintenance requirements
Data Source
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AI summary
A system for controlling worker performance in a warehouse, comprising: a plurality of sensor devices located throughout the warehouse and connected over a network; a plurality of worker computing devices, each worker computing device corresponding to at least one of a plurality of workers of the warehouse; a user interface connected to the network and including a display configured to display a real-time dashboard; and a processor connected to the network configured to: determine, by an insight module, dynamic allocation of workers of the warehouse according to locations within the warehouse, configured to aggregate and analyze data from the sensor devices and the worker computing devices; determine the plurality of worker performance metrics, the plurality of worker performance metrics including an aggregated idle time per worker; and generate on the dashboard of the display a dynamic real-time summary of aggregated idle time per worker.