Automated Supply Chain Data Analysis for Cold Chain Inefficiencies

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Solution Overview

Problem

Traditional temperature monitoring systems in cold chains are not designed to identify and address inefficiencies, leading to inaccurate and unreliable data analysis, as they require manual conditioning and lack automated statistical process control.

Innovation Solution

A system and method for collecting and analyzing data on supply chain aspects, using sensors to monitor temperature and other conditions, and automatically generating reports to identify anomalies and inefficiencies, with automated data conditioning and statistical analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If manual data conditioning is used to prepare temperature monitoring data for analysis, then data can be processed, but the accuracy and reliability of the analysis deteriorates due to human error and subjectivity

Engineering Contradiction:

Improvedata processing capabilityVSAvoidanalysis accuracy

Core Design Contradiction:

Ease of manufactureVSMeasurement precision

Solution Approach 1:

The patent replaces manual data conditioning processes with automated computer-based processing. The system automatically imports raw temperature data, applies conditioning algorithms, and generates analysis reports without human intervention, thereby eliminating subjectivity and improving measurement precision while maintaining ease of data processing capability

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system performs self-service by automatically conditioning its own data and generating its own analysis reports. The computer automatically imports data from sensors, applies statistical analysis, conditions the data according to predefined criteria, and generates comprehensive reports without requiring manual processing, thus improving both efficiency and accuracy

Inventive Principle:

Principle #25Self-service

2Reliability

If traditional temperature monitoring programs are used for accept/reject decisions, then quality control is maintained, but the ability to identify and address cold chain inefficiencies deteriorates

Engineering Contradiction:

Improvequality controlVSAvoidprocess inefficiency detection

Core Design Contradiction:

ReliabilityVSLoss of information

Solution Approach 1:

The patent creates a multi-functional system that performs both traditional quality control (accept/reject decisions) and advanced process analysis (identifying cold chain inefficiencies). The same automated system that ensures quality control also generates comprehensive statistical analysis and process improvement recommendations, eliminating the loss of information about process inefficiencies

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system implements feedback by automatically analyzing temperature data and generating reports that identify inefficiencies in the cold chain process. The comprehensive analysis provides feedback on process performance, enabling continuous improvement while maintaining quality control through automated accept/reject decisions based on the same data

Inventive Principle:

Principle #23Feedback

3Quantity of substance

If sensors log temperature information continuously at regular intervals, then complete temperature records are captured, but the time and resources required for data processing and analysis increases

Engineering Contradiction:

Improvedata completenessVSAvoiddata processing time

Core Design Contradiction:

Quantity of substanceVSLoss of time

Solution Approach 1:

The system applies partial action by selectively processing only the necessary portions of the continuous temperature data. The automated conditioning process identifies and focuses on relevant data segments for analysis, rather than uniformly processing all recorded data, thus reducing processing time while maintaining data completeness for quality control decisions

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent replaces manual data processing with automated computer-based processing that efficiently handles continuous temperature records. The system automatically imports, conditions, and analyzes the complete data set without human intervention, significantly reducing processing time while maintaining full data completeness for both quality control and process improvement analysis

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS7693739B2Automated generation of reports reflecting statistical analyses of supply chain processes

Publication Date: 2010.04.06 SENSITECH INC

AI summary

The present invention is directed to systems and methods for collecting data concerning a supply chain, for performing statistical analysis on the collected data to facilitate identification of anomalies or inefficiencies in the process, and for communicating results of such statistical analysis to those responsible for the supply chain. A method for performing statistical analysis on monitored aspect of a product supply chain involves storing, in memory accessible to processor, first data reflecting first monitored aspect of a first shipment of first item occurring in the supply chain, and storing, in memory accessible to the processor, second data reflecting second monitored aspect of a second shipment of second item occurring in the supply chain. The processor is used to automatically generate report reflecting statistical analysis of the first and second data.