Short answer
Incorporate digital twin technology and integrated supply chain management strategies into the design of production and logistics systems to achieve higher operational efficiency and service levels.
- Field
- Commercial Production
- Source
- Technological Forecasting and Social Change (2023)
- Method
- Mixed-integer linear programming (MILP) and agent-based simulation (ABS)
- Evidence
- Strong effect
Implementing a digital twin approach for integrated procurement, production, and distribution strategies significantly enhances food supply chain productivity and service levels. This commercial production research insight is drawn from a 2023 study published in Technological Forecasting and Social Change. Using Mixed-integer linear programming (milp) and agent-based simulation (abs), researchers explored how this design variable affects real-world outcomes. The key design takeaway: Incorporate digital twin technology and integrated supply chain management strategies into the design of production and logistics systems to achieve higher operational efficiency and service levels.
Digital Twins Boost Food Supply Chain Efficiency by 65% Through Real-Time Optimization
Implementing a digital twin approach for integrated procurement, production, and distribution strategies significantly enhances food supply chain productivity and service levels.
Technological Forecasting and Social Change · 2023
Key Findings
- 01Digital twin approach accelerates supply chain productivity by improving makespan time, data redundancy, optimal scheduling plan, overall operations effectiveness, overall equipment effectiveness, and capacity utilization.
- 02Seamless integration of PPDs enhances production flexibility, resulting in an excellent service level of 94%.
- 03Real-time simulation enables accurate estimation of replenishment points with minimal lead time.
- 04Observed 65% utilization of pasteurizer and aging vessel, and 97% utilization of the freezer.
- 05A 6% reduction in backlog was achieved by applying the digital twin model.
Application
Design takeaway
Incorporate digital twin technology and integrated supply chain management strategies into the design of production and logistics systems to achieve higher operational efficiency and service levels.
How to apply
When designing or redesigning supply chain systems, consider implementing digital twin technology to enable real-time monitoring, simulation, and dynamic optimization of procurement, production, and distribution processes.
Project actions
- 01Consider how a digital twin could be used to model and test different scenarios for your design project.
- 02Focus on how real-time data can inform design decisions and operational adjustments.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Utilizes a combination of robust modelling techniques (MILP and ABS).
- +Provides quantitative evidence of significant performance improvements.
Limitations
The complexity of creating and maintaining an accurate digital twin can be a significant barrier. The cost of implementation and the need for specialized expertise are also practical challenges.
Reliability & validity
The use of established optimization and simulation methodologies (MILP and ABS) lends credibility. However, the findings are specific to the studied company context, which may affect generalizability. Further validation across diverse supply chain scenarios would enhance reliability.
Think critically
How can the principles of digital twin implementation be adapted for smaller businesses or different types of product lifecycles with limited resources?
Design Principles
"Real-time digital twin simulation and integrated planning are essential for optimizing complex supply chain operations."
This research demonstrates the tangible benefits of digital twin technology in optimizing complex supply chain operations. By providing real-time visibility and simulation capabilities, designers and engineers can proactively identify bottlenecks, improve resource utilization, and ensure a higher level of service delivery.
What This Means for Your Design
Using a digital copy of a supply chain (a digital twin) helps companies make better, faster decisions in real-time, leading to smoother operations, less waste, and happier customers.
How to use in your project
- 1.Reference this study when discussing the use of simulation and digital modelling for optimizing production processes or supply chains in your design project.
Add to My Project
Quick Cite
Paragraph starter
The integration of digital twin technology, as demonstrated by Maheshwari et al. (2023), offers a powerful framework for optimizing complex supply chain operations. Their research highlights how real-time simulation and integrated planning can lead to substantial improvements in efficiency, resource utilization, and service levels, providing a valuable precedent for design projects aiming to enhance operational performance.
Source
Technological Forecasting and Social Change
Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
journal · 2023
View sourceQuestions About This Research
- What does the research say about digital twins boost food supply chain efficiency by 65% through real-time optimization?
- Incorporate digital twin technology and integrated supply chain management strategies into the design of production and logistics systems to achieve higher operational efficiency and service levels. Evidence: Technological Forecasting and Social Change (2023).
- Why does "Digital Twins Boost Food Supply Chain Efficiency by 65% Through Real-Time Optimization" matter for design?
- This research demonstrates the tangible benefits of digital twin technology in optimizing complex supply chain operations. By providing real-time visibility and simulation capabilities, designers and engineers can proactively identify bottlenecks, improve resource utilization, and ensure a higher level of service delivery.
- How can designers apply this research?
- Incorporate digital twin technology and integrated supply chain management strategies into the design of production and logistics systems to achieve higher operational efficiency and service levels.
- What were the main findings?
- Digital twin approach accelerates supply chain productivity by improving makespan time, data redundancy, optimal scheduling plan, overall operations effectiveness, overall equipment effectiveness, and capacity utilization.. Seamless integration of PPDs enhances production flexibility, resulting in an excellent service level of 94%.. Real-time simulation enables accurate estimation of replenishment points with minimal lead time.. Observed 65% utilization of pasteurizer and aging vessel, and 97% utilization of the freezer.
- What research method was used?
- Mixed-integer linear programming (MILP) and agent-based simulation (ABS).
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from Technological Forecasting and Social Change.
- What should I do differently in my next project?
- When designing or redesigning supply chain systems, consider implementing digital twin technology to enable real-time monitoring, simulation, and dynamic optimization of procurement, production, and distribution processes.
- What are the limitations?
- The study focused on a medium-scale food processing company, and the applicability to larger or different industry sectors may vary. The model's complexity might require significant computational resources.