Work Management System for Warehouse Worker Efficiency Analysis
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Solution Overview
Problem
Existing warehouse management systems cannot effectively recognize whether workers are efficiently performing conveyance work, particularly for workers who are not familiar with their tasks, leading to inefficiencies and distractions.
Innovation Solution
A work management system that includes an input unit for recording work data, a detection unit for tracking the position and time of workers, an identification unit for matching worker identities with movement data using time as a key, and an association unit for linking movement data with work data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a warehouse management system records work content and work time for each article, then it is possible to manage conveyance work for each article, but it is not possible to recognize whether the worker is efficiently performing the conveyance work
Solution Approach 1:
The patent combines multiple data sources (work data from warehouse management system, movement data from detection devices, communication data) into a unified integrated dataset. This merging allows comprehensive analysis of worker efficiency by correlating work content with actual movement patterns and time usage, resolving the contradiction between detailed work tracking and efficiency recognition.
Solution Approach 2:
The patent introduces an information processing device as an intermediary that collects, integrates, and analyzes data from multiple sources (detection devices, warehouse management system, communication devices). This intermediary processes raw data into meaningful efficiency metrics, enabling the recognition of work efficiency without requiring direct modification of existing work management systems.
2Loss of information
If detection devices are installed to track worker position and movement, then work efficiency can be recognized, but the device complexity increases
Solution Approach 1:
The patent designs the information processing device to perform multiple functions: collecting work data, capturing movement data, receiving communication data, integrating all datasets, and analyzing efficiency metrics. This multi-functional approach reduces overall system complexity by consolidating multiple specialized devices into a single versatile platform.
Solution Approach 2:
The system utilizes existing infrastructure components (warehouse management system, portable terminals, detection devices) that continue to operate independently and provide data automatically. The information processing device leverages these self-serve data sources without requiring fundamental changes to existing systems, thereby minimizing added complexity.
3Loss of information
If the system integrates multiple data sources including movement data and communication data, then work efficiency recognition is improved, but the information processing complexity increases
Solution Approach 1:
The patent segments the data processing into distinct functional modules: work data collection from warehouse management system, movement data acquisition from detection devices, communication data reception from portable terminals, data integration, and efficiency analysis. This segmentation allows each module to handle specific data types independently, reducing overall processing complexity while maintaining comprehensive analysis capability.
Data Source
AI summary
A work management system inputs work data for an area and articles to be managed by a warehouse management system, the work data being data in which, for work for conveying the articles in the area, a work content and a work time for each worker are recorded. The work management system makes one or a plurality of detectors to detect a position of an arbitrary person and time at the position in the area at least during a period during which the work data is recorded, and generates movement data based on a result of the detection. The work management system matches, based on the work data and the movement data, the arbitrary person indicated by the movement data with the worker by using the time as a key, thereby identifies the arbitrary person, and associates the movement data with the work data with respect to the identified worker.