Cross-Domain Enterprise Decision Support via Traveling Intelligent Cell

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Solution Overview

Problem

Current manufacturing processes lack efficient cross-domain collaboration and decision-making support, particularly in integrating Enterprise Resource Planning (ERP), Product Lifecycle Management (PLM), and Manufacturing Operations Management (MOM) systems, leading to inefficiencies in managing production processes and responding to issues such as supplier problems.

Innovation Solution

A cross-domain enterprise collaborative decision support system utilizing a traveling intelligent cell (TIC) with a generative algorithm and key performance indicator (KPI) engine, which analyzes production equipment and process data in real-time, compares performance to quality specifications, and presents correlated analysis to subscribed users, enabling holistic interoperability across enterprise domains.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional informal BOP methods are used for each location or product, then flexibility in local customization is maintained, but efficiency, scalability, and visibility are severely lacking

Engineering Contradiction:
ImproveefficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the enterprise BOP management into modular components: master BOP templates stored centrally, location-specific customizations as separate parameters, and hierarchical BOP structures that can be independently managed. This allows efficient reuse of common processes while enabling local adaptations without creating monolithic complex systems.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimensional layer of management by implementing hierarchical BOP templates with multiple levels of abstraction. Master templates define enterprise-wide standards, while subordinate templates allow location-specific variations. This dimensional approach enables both efficiency through standardization and flexibility through controlled customization.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If periodic meetings are used to communicate BOP changes to the enterprise, then all stakeholders can discuss and approve changes, but the process takes a long time and requires significant man-hours

Engineering Contradiction:
Improvedecision accuracyVSAvoidtime
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary action by pre-defining master BOP templates with enterprise-wide best practices and standards before deployment. Changes are prepared in advance using structured templates that automatically validate compliance, reducing the need for lengthy discussion meetings and enabling faster decision-making while maintaining reliability.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent incorporates feedback mechanisms where BOP changes are automatically validated against master templates, and stakeholders receive targeted notifications only for changes affecting their specific areas. This selective feedback approach maintains decision accuracy by involving the right people at the right time without requiring all stakeholders to participate in every change discussion.

Inventive Principle:
Principle #23Feedback

3Ease of operation

If generic social collaboration platforms are used, then ease of use and accessibility are improved, but process management capabilities are not provided

Engineering Contradiction:
Improveease of useVSAvoidprocess management capability
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The patent merges the advantages of generic collaboration platforms with specialized process management capabilities by integrating social collaboration features directly into the BOP management system. Users benefit from easy-to-use interfaces and accessibility while simultaneously gaining automated process management, validation, and compliance checking capabilities that generic platforms cannot provide.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent creates a multi-functional system that combines social collaboration features (ease of use) with enterprise-grade process management capabilities (automation). The unified platform performs multiple functions: collaboration, BOP template management, automated validation, change tracking, and compliance monitoring, eliminating the need for separate specialized systems.

Inventive Principle:
Principle #6Universality (Multi-functionality)

4Adaptability or versatility

If cross-domain integration of ERP, PLM, and MOM systems is attempted, then holistic interoperability is achieved, but system complexity and integration difficulty increase significantly

Engineering Contradiction:
Improveholistic interoperabilityVSAvoidintegration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary layer in the form of standardized BOP templates that act as a common language between ERP, PLM, and MOM systems. Rather than directly integrating complex systems, the BOP templates serve as intermediaries that translate and harmonize data across domains, achieving holistic interoperability while keeping integration complexity manageable through standardization.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS10628769B2Method and system for a cross-domain enterprise collaborative decision support framework
Publication Date: 2020.04.21 DASSAULT SYSTEMS AMERICAS CORP
  • US10628769B2 patent drawing
  • US10628769B2 patent drawing
  • US10628769B2 patent drawing

AI summary

A method and a system for cross-domain enterprise collaborative decision support within an enterprise are provided. The method includes receiving a set of information from an asset component through an embedded cell for analytics (ECA) and analyzing the set of information in real-time using a generative algorithm in a traveling intelligent cell (TIC), the TIC including at least one of a generic equipment and process data set, a specific equipment and process data set, and a dynamic deployment data set. The method also includes measuring asset component performance using the set of information and a key performance indictor (KPI) engine, comparing end results of the measured asset component performance to respective quality specification data using a data mining engine, determining a probability that a process parameter affected the measured asset component performance, and presenting a visualization of a correlated analysis to one or more subscribed users.