IoT Warehousing System Predicts Material Usage
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Solution Overview
Problem
Current MRO management systems lack effective integration with external supplier services, struggle to accurately predict and manage inventory, leading to inefficiencies and high management costs, and fail to provide detailed cost accounting and data-driven insights for improving production technology.
Innovation Solution
An intelligent warehousing management method and system utilizing Internet of Things technology, which predicts material usage based on production plans and safety factors, updates inventory in real-time, adjusts material usage, and calculates replenishment quantities, enabling accurate forecasting and optimization of production plans and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional MRO management systems are used, then manual inventory management is performed, but labor costs and management costs increase significantly
Solution Approach 1:
The system enables automatic inventory management where the MRO management system self-updates inventory data by receiving consumption information from production execution systems and automatically generating replenishment recommendations, eliminating the need for manual inventory tracking and reducing labor costs
Solution Approach 2:
The system implements continuous feedback loops where inventory consumption data from production lines is automatically fed back to the MRO management system, which then adjusts inventory levels and generates replenishment plans based on actual usage patterns, improving management efficiency while reducing costs
2Measurement precision
If traditional MRO management systems are used, then inventory levels are not accurately predicted, but inventory shortages or overstock situations occur
Solution Approach 1:
The system performs preliminary inventory prediction by analyzing historical consumption data and production plans to forecast future inventory needs before shortages occur, enabling proactive replenishment planning that ensures inventory availability while avoiding overstock situations
Solution Approach 2:
The system dynamically adjusts inventory predictions based on real-time production execution data and changing demand patterns, continuously optimizing inventory levels to maintain high availability while preventing overstock, making the inventory management adaptive to varying production conditions
3Loss of information
If traditional MRO management systems are used, then detailed cost accounting per person is not provided, but cost transparency and accountability are reduced
Solution Approach 1:
The system segments cost accounting data by individual users, production lines, and material types, providing detailed cost transparency and accountability for each person while maintaining a simplified centralized management structure that aggregates these detailed records for overall cost control
Data Source
AI summary
This invention has disclosed an intelligent warehousing management method, apparatus, system, an unmanned intelligent warehousing device management method and an unmanned intelligent warehousing device. Wherein the intelligent warehousing management method manages the materials required by products production based on an unmanned intelligent warehousing device with function of connecting to Internet of Things and comprises: an obtaining step, to obtain production plan data of the products and safety factor of the materials; a prediction step, to predict the usage of the materials based on the production plan data and the safety factor; a sending step, to send production data based on the production plan data and the predicted usage to the unmanned intelligent warehousing device; an updating step, to update the production data in real time based on usage of the materials stored in the unmanned intelligent warehousing device; an adjusting step, to adjust usage of the materials utilizing the unmanned intelligent warehousing device based on the updated production data; a calculating step, to calculate the materials needed to be replenished in the unmanned intelligent warehousing device based on the updated production data.