Spinning Mill Assessment Through Multi-Package Yarn Ranking
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Solution Overview
Problem
Yarn buyers face inefficiencies and costs in sourcing yarn due to time-consuming and unreliable acceptance trials, leading to unsatisfactory quality and consistency issues, with limited feedback for spinning mills.
Innovation Solution
A computer-implemented method and server computer system that assesses spinning mills by collecting and ranking yarn-quality parameters, providing objective evaluations for buyers to make informed purchasing decisions, reducing the need for costly acceptance trials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If acceptance trials are conducted to assess yarn quality before bulk purchase, then yarn quality reliability is improved, but time consumption and costs increase significantly
Solution Approach 1:
The system performs preliminary quality assessment of spinning mills by collecting and analyzing yarn quality data from multiple packages produced during normal production. This preliminary assessment is done before bulk purchase decisions are made, allowing buyers to identify reliable suppliers in advance without conducting time-consuming acceptance trials on each new supplier.
Solution Approach 2:
Instead of physically testing yarn samples through acceptance trials, the system creates a digital copy of quality data from sensors and measuring devices. This digital representation of yarn quality characteristics allows for virtual assessment and comparison of different spinning mills, eliminating the need for physical sample testing.
2Loss of energy
If acceptance trials are conducted with small sample sizes, then costs are reduced, but quality assessment reliability deteriorates
Solution Approach 1:
The system merges quality data from multiple yarn packages produced by the same spinning mill to create a comprehensive quality profile. By combining measurements from numerous packages rather than relying on a small sample, the system achieves reliable quality assessment at lower cost, as the aggregated data provides statistical significance without requiring extensive physical testing.
Solution Approach 2:
The server computer system acts as an intermediary that collects, stores, and analyzes quality data from various spinning mills. This intermediary platform enables buyers to access aggregated quality information without conducting their own expensive and time-consuming trials, providing reliable assessment at minimal cost.
3Reliability
If yarn packages are returned due to unsatisfactory quality, then quality control is improved, but shipping costs and material waste increase
Solution Approach 1:
The system performs preliminary quality assessment of spinning mills before bulk purchases are made. By evaluating yarn quality characteristics in advance using data from multiple packages, buyers can identify and select only from reliable suppliers, preventing the need to return large quantities of substandard yarn and thereby reducing material waste and associated shipping costs.
4Measurement precision
If comprehensive yarn quality data is collected from multiple spinning mills, then purchasing decision quality is improved, but data processing complexity increases
Solution Approach 1:
The server computer system automatically performs data collection, storage, and analysis without requiring manual intervention. The system self-manages the complexity of processing comprehensive quality data from multiple spinning mills by implementing automated algorithms that evaluate yarn quality characteristics and generate rankings, thereby providing precise purchasing decision support while keeping operational complexity low.
Data Source
AI summary
The computer-implemented method serves for assessing spinning mills. A server computer system receives from a spinning mill having produced a yarn package a set of measured values for at least one yarn-quality parameter measured for yarn on the yarn package. It assigns to the set of measured values a mill identifier for the respective spinning mill and stores in a database the set of measured values together with the assigned mill identifier. These steps are repeated for at least one other spinning mill. The server computer system produces a ranking of the spinning mills according to the sets of measured values and the mill identifiers. It transmits the ranking to a client computer. The method facilitates an efficient trading of yarn packages.