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Robustizing Supply Chains with SDT ^(*)

Technology that enables appropriate and rapid management decisions for robustizing the supply chain by conducting simulations in a digital space in preparation for increasingly frequent risks.

(*) SDT (Social Digital Twin): A group of technologies that help solve complex problems by highly reproducing human behavior and social movements. Digital Rehearsal technology is the core technology that enables verification of the effects of measures in advance by overlapping various perspectives.

Challenge in Supply Chain Improvement

Conventional improvement measures often rely on partial assessments of the supply chain, which hinders accurate decision-making. Furthermore, the manual exploration of solutions and the need for consensus among stakeholders with differing priorities consume significant time, preventing swift management decisions.

Robustizing Supply Chains with SDT

Digital Rehearsal technology assesses and analyzes the impact of risks on the entire supply chain and automatically generates a comprehensive range of improvement measures. By enabling stakeholders to identify mutually acceptable solutions based on diverse priorities, it streamlines consensus-building and facilitates rapid management decisions.

The Benefits of Robustizing Supply Chains with SDT

Visualization of risk impact	Estimating the direct impact of a risk on the supply chain, and then quantitatively evaluating and visualizing its overall effect through simulation, allows for a clear understanding of the severity of individual risks and enables informed prioritization of countermeasures.
Facilitating the formulation of optimal measures	Leveraging AI to comprehensively explore a wide range of improvement measures, and then validating their effectiveness through simulation, allows for the rapid identification of optimal solutions. This includes the ability to propose measures that fundamentally alter the structure of the supply chain.
Accelerating consensus building	AI infused with cognitive psychology allows stakeholders to easily identify solutions aligned with their values through just a few interactions, streamlining the consensus-building process.

Technical overview

Target Industry/Users

Targets include executives involved in supply chain operations within the manufacturing and retail sectors and so on, as well as supply chain consultants.

Challenges in Target Industry and Operations

Supply chains are vital for producing and delivering the goods essential to our daily lives.
Consequently, maintaining supply chain stability is crucial, even in the face of various risks such as natural disasters, conflicts, and wars.
However, the multi-tiered complexity of many supply chains makes it difficult to determine where and how risks will be affected and what measures should be taken if they occur.
Furthermore, reaching a consensus among diverse stakeholders, including the CEO and CFO, is often a time-consuming process due to their differing values.

Technical Challenges

Quantitative assessment of the impact on the entire supply chain in the event of various risks and prompt development of measures to mitigate it.

Solutions

In the digital space, sites and transportation networks that consist of the supply chain are reproduced as digital twins.
By estimating the degree of impact of risk events on components of the supply chain, such as reduced production and delayed transportation, and by simulating the process of product manufacturing and transportation, the impact on the entire supply chain is quantitatively evaluated from multiple perspectives.
Based on the results, multiple measures, such as production plan adjustment and transportation change, are explored, and the effects of improvement are calculated by simulating each measure.
By comparing the desirability of measures among stakeholders with different values, the best measures are narrowed down.

Fujitsu's Technological Advantage

Stress Estimation Technology:
- Based on an impact model that considers the magnitude of the risk and the distance from the location, and a learning model of the damage caused by the risk that has occurred in the past, it is possible to estimate the degree of reduction in productivity and transportation capacity to locations and transportation means due to the risk.
Measures Exploration Technology:
- Using evolutionary computation, we can comprehensively generate multiple policies, including changes in the structure of the supply chain, and understand their effects in advance.
Consensus Building Support Technology:
- Multiple stakeholders with diverse values can quickly identify optimal, mutually agreeable measures from many candidate measures by comparing their desirability several times.

The Benefits of Robustizing Supply Chains with SDT（Detailed Version）

By accurately identifying supply chain vulnerabilities during risk events, comprehensively and rapidly exploring improvement strategies, and enabling swift decision-making among diverse stakeholders, this technology delivers optimized and accelerated management decisions for supply chain robustness.

Use Cases

Proponent of Supply Chain Improvement Measures:
- Use for planning measures to improve supply chains when reviewing supply chains and formulating BCPs
Decision-Makers for Supply Chain Improvement Measures:
- Confirming the content and effects of proposed improvement measures and comparing them with other measures when making management decisions related to supply chain improvement
Supply Chain Consultants:
- Utilizing this information to formulate supply chain problems, improve measures, and explain to customers when proposing supply chain improvement for customers

Case studies

Formulation of supply chain improvement plans in normal times:
- By conducting simulations, exploring measures, and building consensus without assuming risks, problems in the supply chain can be identified, and improvement measures can be proposed.

Technical Trial

Demo Video

A Proof of Concept（PoC） is possible.

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