Short answer

Incorporate digital twin technology into pilot production environments to foster collaboration and reduce risk during the development and testing phases of new manufacturing systems.

Field
Modelling
Source
The South African Journal of Industrial Engineering (2018)
Method
Case Study / Conceptual Framework Development
Evidence
Moderate effect

Integrating physical and virtual components through digital twins in pilot production environments facilitates collaborative decision-making among diverse stakeholders. This modelling research insight is drawn from a 2018 study published in The South African Journal of Industrial Engineering. Using Case study / conceptual framework development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate digital twin technology into pilot production environments to foster collaboration and reduce risk during the development and testing phases of new manufacturing systems.

Study
ModellingHigh ImpactModerate effect

Digital Twins Enhance Pilot Production Environments for Stakeholder Alignment

Integrating physical and virtual components through digital twins in pilot production environments facilitates collaborative decision-making among diverse stakeholders.

The South African Journal of Industrial Engineering · 2018

01

Key Findings

  • 01Pilot plants serve as crucial platforms for developing, testing, and upscaling production environments.
  • 02Digital twins integrate physical and virtual components, enabling comprehensive simulation and analysis.
  • 03Virtual dashboards provide a unified basis for decision-making across various stakeholder perspectives.
02

Application

Design takeaway

Incorporate digital twin technology into pilot production environments to foster collaboration and reduce risk during the development and testing phases of new manufacturing systems.

How to apply

When designing or evaluating pilot production facilities, consider the integration of real-time data streams with simulation models to create a dynamic digital twin for comprehensive analysis and stakeholder engagement.

Project actions

  • 01When developing a prototype or pilot system, consider how a digital twin could be used to simulate its performance.
  • 02Think about what data would be needed to create a useful digital twin for your design project.
03

Method & Evidence

AimHow can digital twins be leveraged to create integrated physical and virtual pilot production environments that support multi-disciplinary stakeholder decision-making?
MethodCase Study / Conceptual Framework Development
ProcedureThe research proposes a conceptual framework for pilot production environments driven by digital twins. This involves synthesizing sensoring data with modelling and simulation of resources and processes across operational, tactical, and strategic levels, supplemented by virtual dashboards for decision support.
ContextIndustrial Engineering / Production Systems

Variables

IVIntegration of digital twins in pilot production environments
DVStakeholder decision-making effectiveness; Risk mitigation; Development and testing efficiency
CVComplexity of production process; Number and diversity of stakeholders; Investment capital available
04

Strengths & Limitations

Strengths

  • +Highlights the strategic importance of pilot plants in industrial development.
  • +Emphasizes the role of digital twins in modern manufacturing.

Limitations

The complexity and cost of implementing a full digital twin system can be a significant barrier for smaller design projects.

Reliability & validity

The conceptual nature of the paper means direct reliability and validity measures are not applicable. However, the proposed framework's validity would depend on its successful implementation and empirical testing in real-world pilot production scenarios.

Think critically

To what extent can the benefits of digital twins in pilot production environments be realized without significant investment in advanced sensoring and simulation software?

05

Design Principles

"Leverage integrated physical-virtual models (digital twins) to de-risk and optimize the development of complex production systems through collaborative decision-making."

This approach mitigates the inherent risks and unpredictability associated with significant investments in establishing new production facilities. By providing a shared, data-rich platform, it enables a more informed and aligned approach to development, testing, and scaling of production processes.

06

What This Means for Your Design

Using a digital twin (a virtual copy of a real thing) in a test production setup helps everyone involved make better decisions because they can see how things work and predict problems before they happen.

How to use in your project

  • 1.Reference this paper when discussing the use of simulation and virtual modelling in the development or testing phase of your design project.
07

Add to My Project

08

Quick Cite

Paragraph starter

The integration of digital twin technology into pilot production environments, as proposed by Lutters (2018), offers a powerful methodology for enhancing collaborative decision-making among diverse stakeholders. By synthesizing real-time sensoring data with comprehensive modelling and simulation across operational, tactical, and strategic levels, digital twins provide a virtual replica that facilitates the development, testing, and de-risking of new production processes before full-scale implementation.

09

Source

The South African Journal of Industrial Engineering

PILOT PRODUCTION ENVIRONMENTS DRIVEN BY DIGITAL TWINS

journal · 2018

View source

Questions About This Research

What does the research say about digital twins enhance pilot production environments for stakeholder alignment?
Incorporate digital twin technology into pilot production environments to foster collaboration and reduce risk during the development and testing phases of new manufacturing systems. Evidence: The South African Journal of Industrial Engineering (2018).
Why does "Digital Twins Enhance Pilot Production Environments for Stakeholder Alignment" matter for design?
This approach mitigates the inherent risks and unpredictability associated with significant investments in establishing new production facilities. By providing a shared, data-rich platform, it enables a more informed and aligned approach to development, testing, and scaling of production processes.
How can designers apply this research?
Incorporate digital twin technology into pilot production environments to foster collaboration and reduce risk during the development and testing phases of new manufacturing systems.
What were the main findings?
Pilot plants serve as crucial platforms for developing, testing, and upscaling production environments.. Digital twins integrate physical and virtual components, enabling comprehensive simulation and analysis.. Virtual dashboards provide a unified basis for decision-making across various stakeholder perspectives.
What research method was used?
Case Study / Conceptual Framework Development.
How strong is the evidence?
Evidence strength is rated Moderate effect, based on a 2018 journal from The South African Journal of Industrial Engineering.
What should I do differently in my next project?
When designing or evaluating pilot production facilities, consider the integration of real-time data streams with simulation models to create a dynamic digital twin for comprehensive analysis and stakeholder engagement.
What are the limitations?
The paper presents a conceptual framework; practical implementation challenges and specific technological requirements are not detailed.