Real-time Manufacturing Planning System for Supplier Quality Control

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Solution Overview

Problem

Manufacturers face challenges in maintaining accurate business plans due to outdated information, particularly when supplier quality and quantity issues arise, leading to potential production disruptions, increased costs, and reduced profitability.

Innovation Solution

A total manufacturing planning management system that monitors supplier quality in real-time, analyzes trends, and adjusts business plans and production schedules proactively to mitigate risks, ensuring timely and quality component delivery by integrating supplier and manufacturer data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If real-time quality monitoring and analysis systems are implemented, then production reliability and plan accuracy are improved, but system complexity and implementation cost increase

Engineering Contradiction:
Improveproduction reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system continuously monitors supplier quality data in real-time and feeds this information back to automatically adjust business plans. Quality metrics from suppliers are tracked, analyzed for trends, and used to trigger plan modifications when thresholds are exceeded, creating a closed-loop feedback system that improves reliability without requiring complex manual intervention

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The business plan adjustment process is automated through the system itself. When quality trends exceed predefined thresholds, the system automatically analyzes the impact and modifies business plans without human intervention. This self-service capability reduces the need for complex manual monitoring and adjustment processes

Inventive Principle:
Principle #25Self-service

2Loss of information

If real-time quality data collection from multiple sources is implemented, then information accuracy is improved, but data processing complexity and time requirements increase

Engineering Contradiction:
Improveinformation accuracyVSAvoiddata processing time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

Quality thresholds and analysis rules are pre-configured in the system before data collection begins. The system is prepared with predefined criteria for what constitutes acceptable quality levels and how to respond when thresholds are exceeded. This preliminary setup eliminates the need for complex real-time decision-making and reduces data processing time while maintaining high information accuracy

Inventive Principle:
Principle #10Preliminary action

3Duration of action of stationary object

If proactive business plan adjustments are made based on quality trends, then production continuity is improved, but the risk of premature or incorrect plan changes increases

Engineering Contradiction:
Improveproduction continuityVSAvoidplan adjustment reliability
Core Design Contradiction:
Duration of action of stationary objectVSReliability

Solution Approach 1:

The system takes preliminary action to prevent production disruptions by detecting quality degradation trends before they result in actual defects or shutdowns. When quality metrics show worsening trends exceeding predefined thresholds, the system proactively adjusts business plans to mitigate potential issues. This preliminary anti-action approach maintains production continuity while using objective threshold-based criteria to minimize premature or incorrect adjustments

Inventive Principle:
Principle #9Preliminary anti-action

Data Source

PatentUS10402763B2Total manufacturing planning management control system
Publication Date: 2019.09.03 LENOVO GLOBAL TECHNOLOGIES SWITZERLAND INTERNATIONAL GMBH
  • US10402763B2 patent drawing
  • US10402763B2 patent drawing
  • US10402763B2 patent drawing

AI summary

Managing a manufacturer's business plan in real-time, a computer receives real-time quality data associated with a measure of component quality from supplier of the component incorporated in a manufacturer product. The computer receives real-time quality data associated with a measure of product quality from the manufacturer. The computer determines a statistical trend in the received supplier real-time quality data. If supplier real-time quality data exceeds a quality target metric for the supplier, exceeds a quality target metric for the component, or the statistical trend exceeds a threshold value, the computer analyzes financial impact to the manufacturer using supplier real-time quality data, manufacturer real-time quality data, historical quality data of supplier and manufacturer, and manufacturer's business plan. Based on analysis results indicating financial impact exceeding a threshold, the computer externalizes a warning, externalizes recommended changes to manufacturer's business plan, and changes manufacturer's business plan with analysis recommended changes.