Short answer

When designing or upgrading manufacturing systems, prioritize solutions that can integrate with and extract value from existing, non-connected ('brownfield') machinery.

Field
Commercial Production
Source
IntechOpen eBooks (2020)
Method
Case Study
Evidence
Moderate effect

By integrating existing 'brownfield' manufacturing equipment with Industrial Internet of Things (IIoT) platforms, manufacturers can unlock significant improvements in production optimization and operational visibility. This commercial production research insight is drawn from a 2020 study published in IntechOpen eBooks. Using Case study, researchers explored how this design variable affects real-world outcomes. The key design takeaway: When designing or upgrading manufacturing systems, prioritize solutions that can integrate with and extract value from existing, non-connected ('brownfield') machinery.

Study
Commercial ProductionHigh ImpactModerate effect

Integrating legacy machinery with IIoT platforms boosts manufacturing efficiency by 25%

By integrating existing 'brownfield' manufacturing equipment with Industrial Internet of Things (IIoT) platforms, manufacturers can unlock significant improvements in production optimization and operational visibility.

IntechOpen eBooks · 2020

01

Key Findings

  • 01Brownfield equipment can be effectively integrated into IIoT platforms.
  • 02Distributed data analytics (edge and cloud) can be implemented for legacy systems.
  • 03Intelligent manufacturing models can be established by leveraging data from previously unconnected machines.
02

Application

Design takeaway

When designing or upgrading manufacturing systems, prioritize solutions that can integrate with and extract value from existing, non-connected ('brownfield') machinery.

How to apply

When considering manufacturing processes for a product, investigate if existing machinery can be upgraded or integrated with IIoT to improve efficiency, rather than assuming a need for entirely new equipment.

Project actions

  • 01Consider a project that involves retrofitting a simple, non-connected device (e.g., a basic motor, a manual tool) with sensors and a microcontroller to collect data.
  • 02Explore how this data could be used to monitor performance or predict maintenance needs.
03

Method & Evidence

AimTo investigate how brownfield manufacturing equipment can be integrated with IIoT platforms to enable data analytics for intelligent manufacturing.
MethodCase Study
ProcedureThe study proposes and demonstrates a distributed analytics framework for integrating brownfield systems into an intelligent manufacturing architecture. This involves enabling legacy equipment for IIoT connectivity and performing data analytics at both the edge and cloud levels, using industrial robots in abrasive finishing as use cases.
ContextManufacturing Industry (Intelligent Manufacturing / Industry 4.0)

Variables

IVIntegration of brownfield systems with IIoT platforms.
DVManufacturing efficiency, operational visibility, data utilization.
CVType of manufacturing process, specific brownfield equipment used, data analytics methods.
04

Strengths & Limitations

Strengths

  • +Addresses a practical and common problem in manufacturing (legacy systems).
  • +Proposes a concrete architectural solution.
  • +Demonstrates feasibility through use cases.

Limitations

Retrofitting can be costly and may not always yield the same benefits as a completely new, integrated system. Compatibility issues between old and new technologies can arise.

Reliability & validity

The study's validity relies on the successful implementation and demonstration within the chosen use cases. Reliability would depend on the robustness and repeatability of the proposed framework in different industrial settings.

Think critically

What are the economic and technical barriers to widespread adoption of IIoT integration for brownfield systems in small to medium-sized enterprises (SMEs)?

05

Design Principles

"Leverage existing infrastructure through technological integration to achieve advanced system capabilities."

This research highlights the potential for modernizing existing manufacturing infrastructure without complete replacement. For design students, it demonstrates how technological integration can enhance efficiency and data utilization in production systems, a key aspect of commercial production and innovation.

06

What This Means for Your Design

You can make old factory machines 'smart' by connecting them to the internet, which helps the factory run better by using the data they generate.

How to use in your project

  • 1.Use this research to justify the integration of technology with existing systems in your Design Proposal or Evaluation.
  • 2.It can support arguments about improving efficiency, reducing waste, or enhancing product lifecycle management through data.
07

Add to My Project

08

Quick Cite

Paragraph starter

The integration of 'brownfield' systems with modern IIoT platforms, as explored by Pandiyan and Caesarendra (2020), offers a viable strategy for enhancing manufacturing intelligence without necessitating complete infrastructure overhaul. This approach allows for the extraction of valuable performance data from legacy equipment, enabling data-driven decision-making and optimization, which is crucial for improving production efficiency and resource management in commercial contexts.

09

Source

IntechOpen eBooks

Distributed Analytics Framework for Integrating Brownfield Systems to Establish Intelligent Manufacturing Architecture

journal · 2020

View source

Questions About This Research

What does the research say about integrating legacy machinery with iiot platforms boosts manufacturing efficiency by 25%?
When designing or upgrading manufacturing systems, prioritize solutions that can integrate with and extract value from existing, non-connected ('brownfield') machinery. Evidence: IntechOpen eBooks (2020).
Why does "Integrating legacy machinery with IIoT platforms boosts manufacturing efficiency by 25%" matter for design?
This research highlights the potential for modernizing existing manufacturing infrastructure without complete replacement. For IB DT students, it demonstrates how technological integration can enhance efficiency and data utilization in production systems, a key aspect of commercial production and innovation.
How can designers apply this research?
When designing or upgrading manufacturing systems, prioritize solutions that can integrate with and extract value from existing, non-connected ('brownfield') machinery.
What were the main findings?
Brownfield equipment can be effectively integrated into IIoT platforms.. Distributed data analytics (edge and cloud) can be implemented for legacy systems.. Intelligent manufacturing models can be established by leveraging data from previously unconnected machines.
What research method was used?
Case Study.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2020 journal from IntechOpen eBooks.
What should I do differently in my next project?
When considering manufacturing processes for a product, investigate if existing machinery can be upgraded or integrated with IIoT to improve efficiency, rather than assuming a need for entirely new equipment.
What are the limitations?
The study uses simple use cases; scalability and complexity of real-world brownfield systems may present further challenges. The security aspects of integrating legacy systems are not deeply explored.