Yarn Package Trading With Pre-Purchase Quality Ranking
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Solution Overview
Problem
Yarn buyers face inefficiencies in sourcing yarn packages due to the need for costly and unreliable acceptance trials, which are time-consuming and result in material waste and unsatisfactory quality issues.
Innovation Solution
A computer-implemented method and server computer system that receives and ranks yarn-quality parameters from multiple spinning mills, allowing buyers to select high-quality yarn packages efficiently without extensive sampling, using a global communication network to match buyer specifications with available yarn packages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If yarn buyers conduct acceptance trials before purchasing yarn packages, then they can verify yarn quality, but it results in time consumption, material waste, and increased costs
Solution Approach 1:
The patent implements preliminary quality assessment by integrating yarn quality parameters directly into the trading platform before purchase. Yarn packages are pre-assessed and ranked based on quality parameters such as evenness, strength, and hairiness, allowing buyers to make informed decisions without conducting time-consuming acceptance trials. This preliminary action eliminates the need for post-production quality verification.
Solution Approach 2:
The patent introduces an intermediary quality ranking system that mediates between yarn producers and buyers. Instead of direct verification through acceptance trials, a automated ranking mechanism based on objective quality parameters serves as an intermediary, providing reliable quality information that reduces the need for buyers to conduct their own verification tests.
2Reliability
If yarn buyers conduct acceptance trials before purchasing yarn packages, then they can verify yarn quality, but it results in material waste and increased costs
Solution Approach 1:
The patent replaces the mechanical system of physical sampling and acceptance trials with an automated digital ranking system. Instead of physically handling and testing yarn samples, the system uses automated quality parameter measurements and algorithms to rank yarn packages, eliminating material waste associated with sampling while maintaining reliable quality verification.
Solution Approach 2:
The patent creates a digital copy of yarn quality information through automated parameter measurement and ranking. Instead of requiring physical yarn samples for verification, the system generates and transmits digital quality profiles that accurately represent yarn characteristics, allowing buyers to verify quality without handling or wasting physical material.
3Reliability
If traditional yarn trading methods are used with acceptance trials, then buyers can assess quality, but the trading process becomes inefficient and environmentally unfriendly
Solution Approach 1:
The patent fundamentally changes the trading process by shifting from subjective quality assessment through acceptance trials to objective parameter-based ranking. Yarn packages are evaluated using measurable parameters such as evenness (CVm), strength (Neps), and hairiness, which are automatically measured and ranked. This parameter change enables efficient, reliable, and environmentally friendly trading by eliminating the need for repeated physical sampling and trials.
4Loss of substance
If small sample sizes are used for acceptance trials, then costs are reduced, but quality assessment becomes unreliable
Solution Approach 1:
The patent creates a universal quality ranking system that serves multiple functions simultaneously: it assesses quality, ranks packages, provides trading information, and enables comparison across different yarn types. This multi-functional system replaces the limited function of small-sample acceptance trials, providing reliable quality assessment without requiring additional material consumption for expanded sampling.
Data Source
AI summary
The computer-implemented method serves for efficiently trading yarn packages. A server computer system receives from a spinning mill having produced a yarn package a set of measured values for yarn-quality parameters measured for yarn on the yarn package and further information on the yarn package. It assigns a package identifier to the set of measured values and to the further information and stores them in a database. The server computer system receives from a client computer purchase request containing yarn specifications. It retrieves from the database sets of yarn packages such that the further information matches the yarn specifications for all packages of each set. It produces a ranking of the sets of yarn packages according to the sets of measured values. It transmits to the client computer information on sets of yarn packages best ranked in the produced ranking.