Fractional RFID Tagging for Linen Inventory Tracking

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Solution Overview

Problem

Current inventory tracking systems for linen services are inefficient due to high costs and inaccuracies in monitoring large volumes of low-value items, leading to issues like pilferage, waste, and excessive stockpiling, as existing methods such as RFID tagging are costly and not effectively implemented across the entire inventory.

Innovation Solution

A fractional RFID tagging system where only a predetermined percentage of inventory is tagged, based on variables like usage frequency and cost, allowing for accurate tracking and management of linen inventory, integrated with scanning equipment and computer software to monitor movement, use, abuse, and loss.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If 100% RFID tagging is implemented to track all linen inventory, then measurement precision and reliability of inventory tracking are improved, but device complexity and cost increase significantly

Engineering Contradiction:
Improveinventory tracking accuracyVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements partial RFID tagging where only a predetermined fraction (e.g., 10-50%) of linen items are tagged with RFID tags rather than 100% of all items. The system uses statistical sampling and extrapolation methods to estimate total inventory status from the tagged subset, achieving acceptable tracking accuracy while significantly reducing system complexity and cost compared to universal tagging.

Inventive Principle:
Principle #16Partial or excessive action

2Device complexity

If manual counting methods are used to monitor linen inventory, then device complexity is reduced, but measurement precision and reliability deteriorate due to undercounting and counting errors

Engineering Contradiction:
Improvesystem simplicityVSAvoidcounting accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent introduces RFID tags as an intermediary technology between manual counting and full automated tracking. The RFID tags enable automatic identification and counting of linen items without requiring manual inspection, while the fractional tagging approach keeps the system simpler and more cost-effective than universal tagging. The system uses RFID readers to automatically detect and count tagged items, eliminating human error in counting.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Device complexity

If visual counting processes are used for soiled linens, then device complexity is minimized, but productivity and measurement precision decrease due to labor intensity and undercounting

Engineering Contradiction:
Improveequipment simplicityVSAvoidcounting efficiency
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent replaces manual visual counting processes with automated RFID detection systems. RFID readers automatically detect and count tagged linen items without requiring human operators to visually inspect each item, dramatically improving counting speed and accuracy. The system can process multiple items simultaneously through RFID signal detection, eliminating the sequential nature of manual counting.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

4Reliability

If RFID tags are placed in all textile items, then reliability of inventory monitoring is improved, but loss of energy and operational costs increase due to tag installation and maintenance

Engineering Contradiction:
Improveinventory monitoring reliabilityVSAvoidoperational cost
Core Design Contradiction:
ReliabilityVSLoss of energy

Solution Approach 1:

The patent applies partial RFID tagging where only a fraction of textile items receive RFID tags. The system uses statistical methods to extrapolate inventory status from the tagged subset, achieving sufficient monitoring reliability for business decision-making while reducing tag installation costs, maintenance expenses, and operational complexity associated with universal tagging.

Inventive Principle:
Principle #16Partial or excessive action

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The system provides accurate and cost-effective inventory tracking, reducing waste and abuse by identifying optimal tagging fractions for each item, resulting in significant savings and improved operational efficiency, potentially reducing linen replacement costs by up to 95% compared to 100% RFID tagging systems.

Implementation Method 1

Each tagged item has an RFID tag that receives and transmits a unique identification signal

Methodology Applied
Scientific EffectRadio frequency identification (RFID): Electromagnetic Induction

Data Source

PatentUS11010712B2System and method for fractional RFID inventory tracking and management
Publication Date: 2021.05.18 MILUM CRAIG E
  • US11010712B2 patent drawing
  • US11010712B2 patent drawing
  • US11010712B2 patent drawing

AI summary

A low cost, highly reliable system and method for tracking re-usable textile inventory movement is disclosed. The system is adapted for use within a commercial linen processing facility and its customers' facilities suitable for linen or apparel service providers where the linen processing facility company owns, maintains, and leases the inventory used by its customers. The system and method are also suitable for customers who own their own linens and apparel and outsource the laundering. The system employs radio frequency identification (RFID) tags inserted permanently into a pre-determined fraction (e.g., some number less than 100%) of the textile products. In conjunction with scanning equipment and computer software, the system can provide information on inventory movement, use, abuse, durability, and loss. In order to determine the optimal target fraction for each inventory item a number of variables are considered.