Short answer

Integrate digital twin technology into supply chain design to proactively identify vulnerabilities and test mitigation strategies for various disruptive scenarios.

Field: Modelling
Source: International Journal of Mathematical Engineering and Management Sciences (2020)
Method: Literature Review and Conceptual Framework Development
Evidence: Moderate effect

Implementing digital twin models allows for the simulation of critical risks and force majeure events within supply chains, enabling proactive risk management and improved operational stability. This modelling research insight is drawn from a 2020 study published in International Journal of Mathematical Engineering and Management Sciences. Using Literature review and conceptual framework development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate digital twin technology into supply chain design to proactively identify vulnerabilities and test mitigation strategies for various disruptive scenarios.

Study

ModellingHigh ImpactModerate effect

Digital Twins Enhance Supply Chain Resilience by Simulating Force Majeure Events

Implementing digital twin models allows for the simulation of critical risks and force majeure events within supply chains, enabling proactive risk management and improved operational stability.

International Journal of Mathematical Engineering and Management Sciences · 2020

Key Findings

01Supply chain reliability is significantly impacted by both operational risks (demand/supply uncertainty, information flow) and critical risks (force majeure events).
02Digital twins, through dynamic simulation and analytical optimization, offer a powerful tool for understanding the impact of failures and testing recovery strategies.
03There is a lack of a unified approach to conceptualizing supply chain digital twins, highlighting the need for structured frameworks.

Application

Design takeaway

Integrate digital twin technology into supply chain design to proactively identify vulnerabilities and test mitigation strategies for various disruptive scenarios.

How to apply

When designing or redesigning a supply chain, create a digital twin that can simulate scenarios like natural disasters, supplier failures, or sudden demand surges to test response plans.

Project actions

01When defining your project scope, consider if a digital twin simulation is a feasible method to explore design solutions.
02Clearly articulate the types of risks (operational vs. critical) your digital twin will model.

Method & Evidence

AimWhat is the optimal conceptual framework for a supply chain digital twin that effectively models and mitigates operational and critical risks?

MethodLiterature Review and Conceptual Framework Development

ProcedureThe research involved a comprehensive review of existing literature on digital twins and supply chain risk management. Based on this review, the authors proposed a conceptual model for a supply chain digital twin, outlining its key components and functionalities for risk analysis and simulation.

ContextSupply Chain Management and Operations

Variables

IV["Type of risk simulated (operational vs. force majeure)","Recovery strategy implemented"]

DV["Supply chain performance indicators (e.g., delivery time, cost, stock levels)","Resilience metrics"]

CV["Supply chain structure","Initial demand and supply levels","Simulation duration"]

Strengths & Limitations

Strengths

+Addresses a critical and timely issue in modern business operations.
+Proposes a structured approach to a complex modelling problem.

Limitations

Creating a fully functional digital twin can be resource-intensive. Focus on modelling specific aspects or scenarios relevant to your design project.

Reliability & validity

The reliability of the simulation would depend on the accuracy of the input data and the robustness of the simulation engine. Validity would be assessed by comparing simulation outputs to real-world data or expert judgment on how the supply chain should behave under different conditions.

Think critically

To what extent can a digital twin accurately represent the complexities and emergent behaviours of a real-world supply chain, and what are the inherent limitations of such models in predicting unforeseen events?

Design Principles

"Model potential failure points and recovery strategies within a virtual replica of the system to build resilience."

Supply chains are increasingly vulnerable to disruptions from both operational uncertainties and unforeseen external events. Digital twins provide a virtual environment to test the impact of these disruptions, allowing designers and managers to develop more robust and adaptable supply chain strategies.

What This Means for Your Design

Imagine you have a virtual copy of your entire supply chain. This virtual copy (a digital twin) lets you play out 'what if' scenarios, like what happens if a factory burns down or a ship gets stuck. By seeing how your supply chain reacts in the simulation, you can figure out the best ways to keep things running smoothly even when bad things happen.

How to use in your project

1.Use the concept of digital twins to justify the creation of a simulation model for your design project, especially if it involves complex systems or risk assessment.

Add to My Project

Quick Cite

Paragraph starter

The concept of a supply chain digital twin, as discussed in research, provides a valuable framework for understanding and mitigating risks. By creating a virtual replica of a supply chain, designers can simulate the impact of both operational uncertainties and critical 'force majeure' events, enabling the testing of various response and recovery strategies. This approach allows for a more proactive and resilient design of supply chain operations.

Source

International Journal of Mathematical Engineering and Management Sciences

Concept for a Supply Chain Digital Twin

journal · 2020

View source

Questions About This Research

What does the research say about digital twins enhance supply chain resilience by simulating force majeure events?: Integrate digital twin technology into supply chain design to proactively identify vulnerabilities and test mitigation strategies for various disruptive scenarios. Evidence: International Journal of Mathematical Engineering and Management Sciences (2020).
Why does "Digital Twins Enhance Supply Chain Resilience by Simulating Force Majeure Events" matter for design?: Supply chains are increasingly vulnerable to disruptions from both operational uncertainties and unforeseen external events. Digital twins provide a virtual environment to test the impact of these disruptions, allowing designers and managers to develop more robust and adaptable supply chain strategies.
How can designers apply this research?: Integrate digital twin technology into supply chain design to proactively identify vulnerabilities and test mitigation strategies for various disruptive scenarios.
What were the main findings?: Supply chain reliability is significantly impacted by both operational risks (demand/supply uncertainty, information flow) and critical risks (force majeure events).. Digital twins, through dynamic simulation and analytical optimization, offer a powerful tool for understanding the impact of failures and testing recovery strategies.. There is a lack of a unified approach to conceptualizing supply chain digital twins, highlighting the need for structured frameworks.
What research method was used?: Literature Review and Conceptual Framework Development.
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2020 journal from International Journal of Mathematical Engineering and Management Sciences.
What should I do differently in my next project?: When designing or redesigning a supply chain, create a digital twin that can simulate scenarios like natural disasters, supplier failures, or sudden demand surges to test response plans.
What are the limitations?: The study is primarily conceptual and based on a literature review, lacking empirical validation of the proposed digital twin framework.