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= Supply Chain Security, Resilience & Industry Trends =
= Supply Chain Security, Resilience & Industry Trends =


[[File:Supply Chain Model.png|thumb|right|900px|EPRI Supply Chain Model<ref>https://www.epri.com/research/programs/112046/results/3002012753</ref>]]
[[File:Supply Chain Model.png|thumb|right|900px|EPRI Supply Chain Model<ref>[https://www.epri.com/research/programs/112046/results/3002012753 EPRI Supply Chain Assessment Research Program]</ref>]]


== Executive Summary ==
== Executive Summary ==
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{| class="wikitable"
{| class="wikitable"
|+ Why Utilities Care
|-
|-
! Area
! Area
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| Organizations require the ability to anticipate, withstand, and recover from changing operational, geopolitical, and market conditions.
| Organizations require the ability to anticipate, withstand, and recover from changing operational, geopolitical, and market conditions.
|}
|}
----
== Industry Context ==
Historically, supply chain management focused primarily on procurement, logistics, and cost optimization. Today, utilities increasingly recognize supply chains as critical business systems that directly influence operational reliability, cybersecurity, compliance, and resilience.
The rapid growth of Inverter-Based Resources (IBRs), Battery Energy Storage Systems (BESS), cloud-enabled platforms, and third-party service providers has expanded the number of technologies and external organizations supporting utility operations.<ref>EPRI Supply Chain Assessment Research Program (112046).</ref>
As these technologies become increasingly interconnected, organizations must evaluate not only functionality and performance, but also communications pathways, software integrity, supplier dependencies, and operational risks throughout the asset lifecycle.<ref>EPRI Security Design Architecture Review: Solar Inverters (3002029720).</ref>


----
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=== Technology & Asset Assurance ===
=== Technology & Asset Assurance ===


Recent industry assessments have highlighted the importance of understanding communications protocols, data flows, vendor connectivity, and remote access capabilities associated with modern energy technologies.<ref>EPRI Security Design Architecture Review: Solar Inverters (3002029720).</ref>
Recent industry assessments have highlighted the importance of understanding communications protocols, data flows, vendor connectivity, and remote access capabilities associated with modern energy technologies.<ref>[https://msites.epri.com/spn/research/112046/security-design-architecture-review%3A-solar-inverters EPRI Security Design Architecture Review: Solar Inverters (3002029720)]</ref>


Examples include:
Examples include:
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Modern utility operations depend on software vendors, cloud providers, embedded firmware, open-source components, and third-party integrators.
Modern utility operations depend on software vendors, cloud providers, embedded firmware, open-source components, and third-party integrators.


Compromise of a trusted software supplier can potentially affect multiple organizations simultaneously. As software ecosystems grow increasingly complex, visibility into software dependencies becomes more important.
A compromise of a trusted software supplier can potentially affect multiple organizations simultaneously. As software ecosystems grow increasingly complex, visibility into software dependencies becomes more important.


EPRI's Technical Assessment Methodology (TAM) emphasizes evaluating attack surfaces, identifying security gaps, and validating security controls throughout technology deployments.<ref>EPRI Technical Assessment Methodology (3002012752).</ref>
EPRI's Technical Assessment Methodology (TAM) emphasizes evaluating attack surfaces, identifying security gaps, and validating security controls throughout technology deployments. <ref>[https://www.epri.com/research/programs/112046/results/3002021184 EPRI Technical Assessment Methodology (3002021184)]</ref> <ref>[https://www.epri.com/research/programs/112046/results/3002017149 EPRI Technical Assessment Methodology (3002017149)]</ref>


=== Geopolitical & Supplier Risk ===
=== Geopolitical & Supplier Risk ===
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== Supply Chain Cybersecurity ==
== Supply Chain Cybersecurity ==
[[File:SupplyChainCyber.jpg|thumb|right|450px|Cybersecurity Within Connected Supply Networks]]


As utilities continue their digital transformation efforts, cybersecurity considerations increasingly extend beyond organizational boundaries and into supplier ecosystems.
As utilities continue their digital transformation efforts, cybersecurity considerations increasingly extend beyond organizational boundaries and into supplier ecosystems.


Industry supply chain security programs focus on understanding software integrity, vendor access, communications pathways, and architectural risks before technologies are deployed.<ref>EPRI Security Design Architecture Review: Solar Inverters (3002029720).</ref>
Industry supply chain security programs focus on understanding software integrity, vendor access, communications pathways, and architectural risks before technologies are deployed.<ref>[https://msites.epri.com/spn/research/112046/security-design-architecture-review%3A-solar-inverters EPRI Security Design Architecture Review: Solar Inverters (3002029720)]</ref>


EPRI's Defensible Network Architectures guidance provides criteria for securely deploying operational technologies and reducing exposure to unauthorized access pathways.<ref>EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430).</ref>
EPRI's Defensible Network Architectures guidance provides criteria for securely deploying operational technologies and reducing exposure to unauthorized access pathways.<ref>[https://www.epri.com/research/products/000000003002027430 EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430)]</ref>


'''Leading Practices'''
'''Leading Practices'''
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Artificial Intelligence is helping organizations move beyond reactive supply chain management by improving forecasting, disruption analysis, inventory planning, and supplier-risk identification.
Artificial Intelligence is helping organizations move beyond reactive supply chain management by improving forecasting, disruption analysis, inventory planning, and supplier-risk identification.


Current implementations are commonly focused on:
Current applications include:


* Demand forecasting
* Demand forecasting
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* Procurement analytics
* Procurement analytics


As supply chains become increasingly complex, digital tools are being adopted to improve operational awareness and support planning activities across utility operations.<ref>EPRI Inverter-Based Resources and Grid Interconnection Research Area.</ref>
As supply chains become increasingly complex, digital tools are being adopted to improve operational awareness and support planning activities across utility operations.<ref>[https://top.epri.com/research-area/inverter-based-resources-and-grid-interconnection EPRI Inverter-Based Resources and Grid Interconnection Research Area]</ref>


=== Emerging Trend: Agentic AI ===
=== Emerging Trend: Agentic AI ===
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== Supply Chain Visibility & Control Towers ==
== Supply Chain Visibility & Control Towers ==


[[File:Supply Chain Control Tower.png|thumb|right|800px|Supply Chain Control Tower]]
[[File:Supply Chain Control Tower.png|thumb|right|650px|Supply Chain Control Tower]]


A Supply Chain Control Tower provides a centralized view of suppliers, inventory, logistics networks, external risks, and operational dependencies.
A Supply Chain Control Tower provides a centralized view of suppliers, inventory, logistics networks, external risks, and operational dependencies.
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Rather than relying on disconnected data sources, organizations can monitor critical supply chain activities from a single operational picture and identify disruptions earlier.
Rather than relying on disconnected data sources, organizations can monitor critical supply chain activities from a single operational picture and identify disruptions earlier.


The same industry drivers accelerating adoption of digital twins, advanced analytics, and operational visibility platforms are also increasing demand for comprehensive supplier awareness and dependency mapping.<ref>EPRI Supply Chain Assessment Research Program (112046).</ref>
The same industry drivers accelerating adoption of digital twins, advanced analytics, and operational visibility platforms are also increasing demand for comprehensive supplier awareness and dependency mapping.<ref>[https://www.epri.com/research/programs/112046/results/3002012753 EPRI Supply Chain Assessment Research Program]</ref>


'''Common Benefits'''
{| class="wikitable"
 
|-
* Improved visibility across suppliers and assets
! Capability
* Faster disruption response
! Business Value
* Enhanced executive reporting
|-
* Better risk awareness
| Real-Time Visibility
* Improved operational coordination
| Improves awareness of inventory, suppliers, shipments, and operational dependencies.
 
|-
=== Key Question ===
| Risk Monitoring
| Identifies supply chain disruptions, supplier issues, and emerging risks earlier.
|-
| Decision Support
| Enables faster and more informed operational and procurement decisions.
|-
| Executive Reporting
| Provides leadership with a consolidated view of supply chain performance and risks.
|}


''Can we identify and respond to supply chain disruptions before they impact operations?''


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== Digital Twins & Scenario Planning ==
== Digital Twins & Scenario Planning ==


[[File:DigitalTwinSupplyChain.jpg|thumb|right|500px|Supply Chain Digital Twin Example]]


Digital Twins create virtual representations of suppliers, transportation networks, inventory, and operational dependencies.
Digital Twins create virtual representations of suppliers, transportation networks, inventory, and operational dependencies.
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These environments allow organizations to evaluate potential disruptions before they occur and better understand downstream operational impacts.
These environments allow organizations to evaluate potential disruptions before they occur and better understand downstream operational impacts.


As utilities adapt to increasing levels of inverter-based resources, distributed energy resources, and interconnected technologies, advanced modeling and simulation capabilities are becoming essential tools for planning, resilience analysis, and operational decision-making.<ref>EPRI Inverter-Based Resources and Grid Interconnection Research Area.</ref>
As utilities adapt to increasing levels of inverter-based resources, distributed energy resources, and interconnected technologies, advanced modeling and simulation capabilities are becoming essential tools for planning, resilience analysis, and operational decision-making.<ref>[https://top.epri.com/research-area/inverter-based-resources-and-grid-interconnection EPRI Inverter-Based Resources and Grid Interconnection Research Area]</ref>


Examples include:
Common scenarios include:


* Supplier failures
* Supplier failures
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{| class="wikitable"
{| class="wikitable"
|+ Recommended Focus Areas
|-
|-
! Area
! Area
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|-
|-
| Procurement
| Procurement
| Require SBOMs and HBOMs, assess supplier security practices, review remote access capabilities, and validate vendor security programs.
| Require SBOMs and HBOMs, assess supplier security practices, review remote-access capabilities, and validate vendor security programs.
|-
|-
| Visibility
| Visibility
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----


== Emerging Trends (2026–2027) ==
== Emerging Trends ==


The following topics are receiving increasing attention across the utility and critical infrastructure sectors:
Utilities continue to monitor several technologies and practices that may significantly influence future supply chain operations, resilience, and risk management.


{| class="wikitable"
{| class="wikitable"
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'''Digital Product Passports (DPPs)'''
'''Digital Product Passports (DPPs)'''


Digital Product Passports are emerging as a mechanism for improving product traceability and lifecycle transparency. While currently driven primarily by international regulatory initiatives, they may influence future procurement, asset management, and supplier reporting requirements.
Digital Product Passports are emerging as a mechanism for improving product traceability and lifecycle transparency. Driven largely by international regulatory initiatives, DPPs may influence future procurement, supplier reporting, asset lifecycle management, and supply chain visibility programs.


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== EPRI Resources ==
== EPRI Resources ==


* EPRI Supply Chain Assessment Research Program (112046)
* [https://www.epri.com/research/programs/112046/results/3002012753 EPRI Supply Chain Assessment Research Program]
* EPRI Security Design Architecture Review: Solar Inverters (3002029720)
* [https://msites.epri.com/spn/research/112046/security-design-architecture-review%3A-solar-inverters EPRI Security Design Architecture Review: Solar Inverters (3002029720)]
* EPRI Technical Assessment Methodology (TAM) (3002012752)
* [https://www.epri.com/research/products/000000003002012752 EPRI Technical Assessment Methodology (3002012752)]
* EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430)
* [https://www.epri.com/research/products/000000003002027430 EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430)]
* EPRI Inverter-Based Resources and Grid Interconnection Research Area
* [https://top.epri.com/research-area/inverter-based-resources-and-grid-interconnection EPRI Inverter-Based Resources and Grid Interconnection Research Area]
* EPRI Screening Metrics and Stability Risk Identification Procedures for Networks with High Inverter-Based Resources (3002029824)


== Related Topics ==
== Related Topics ==

Latest revision as of 20:04, 5 November 2026

Supply Chain Security, Resilience & Industry Trends

EPRI Supply Chain Model[1]

Executive Summary

Supply chains have become a strategic focus area for utilities and critical infrastructure operators. Globally sourced hardware, software, and connected technologies introduce cybersecurity, operational, and geopolitical risks that can impact reliability, resilience, and business operations.

At the same time, utilities are investing in advanced visibility and decision-support capabilities including Artificial Intelligence (AI), Supply Chain Control Towers, Digital Twins, and supplier-risk monitoring. These capabilities help organizations improve situational awareness, identify disruptions earlier, and strengthen long-term resilience.

Area Potential Impact
Reliability Equipment shortages, supplier outages, and logistics disruptions can affect maintenance schedules, project timelines, and grid modernization efforts.
Cybersecurity Third-party technologies may introduce new attack surfaces, software vulnerabilities, and unauthorized access pathways.
Operations Limited visibility into suppliers and dependencies can delay the identification and resolution of operational disruptions.
Resilience Organizations require the ability to anticipate, withstand, and recover from changing operational, geopolitical, and market conditions.

Key Supply Chain Risks

Technology & Asset Assurance

Recent industry assessments have highlighted the importance of understanding communications protocols, data flows, vendor connectivity, and remote access capabilities associated with modern energy technologies.[2]

Examples include:

  • Cellular communications modules
  • Wi-Fi connectivity
  • Bluetooth interfaces
  • Vendor remote-access capabilities
  • Undocumented communications pathways

Why It Matters

For utilities, uncertainty surrounding deployed technologies can complicate asset management, cybersecurity monitoring, incident response, and overall operational awareness. The challenge is often less about a specific technology and more about understanding exactly what has been deployed and how it communicates.

Software Supply Chain Risk

Modern utility operations depend on software vendors, cloud providers, embedded firmware, open-source components, and third-party integrators.

A compromise of a trusted software supplier can potentially affect multiple organizations simultaneously. As software ecosystems grow increasingly complex, visibility into software dependencies becomes more important.

EPRI's Technical Assessment Methodology (TAM) emphasizes evaluating attack surfaces, identifying security gaps, and validating security controls throughout technology deployments. [3] [4]

Geopolitical & Supplier Risk

Global supply chains remain vulnerable to geopolitical developments, manufacturing concentration, transportation constraints, and evolving trade regulations.

Examples include:

  • Trade restrictions and tariffs
  • Export controls
  • Semiconductor shortages
  • Critical mineral dependencies
  • Transportation disruptions

These events can affect equipment availability, increase lead times, and delay infrastructure investments across the utility sector.

Common Supply Chain Risk Drivers
Risk Area Examples
Cybersecurity Third-party compromise, ransomware, software supply chain attacks
Technology Undocumented communications, firmware integrity concerns, unsupported products
Geopolitical Export controls, tariffs, regional instability
Logistics Shipping delays, port disruptions, inventory shortages

Supply Chain Cybersecurity

As utilities continue their digital transformation efforts, cybersecurity considerations increasingly extend beyond organizational boundaries and into supplier ecosystems.

Industry supply chain security programs focus on understanding software integrity, vendor access, communications pathways, and architectural risks before technologies are deployed.[5]

EPRI's Defensible Network Architectures guidance provides criteria for securely deploying operational technologies and reducing exposure to unauthorized access pathways.[6]

Leading Practices

  • Supplier cybersecurity assessments
  • Software Bills of Materials (SBOMs)
  • Hardware Bills of Materials (HBOMs)
  • Vendor access reviews
  • Multi-Factor Authentication (MFA)
  • Network segmentation
  • Continuous supplier monitoring

Artificial Intelligence in Supply Chains

AI-Enabled Supply Chain Analytics

Artificial Intelligence is helping organizations move beyond reactive supply chain management by improving forecasting, disruption analysis, inventory planning, and supplier-risk identification.

Current applications include:

  • Demand forecasting
  • Inventory optimization
  • Supplier risk monitoring
  • Predictive maintenance
  • Transportation optimization
  • Procurement analytics

As supply chains become increasingly complex, digital tools are being adopted to improve operational awareness and support planning activities across utility operations.[7]

Emerging Trend: Agentic AI

Industry leaders are evaluating AI systems capable of performing approved actions on behalf of supply chain personnel. Potential applications include supplier evaluation, inventory balancing, logistics optimization, and disruption-response activities.

While still emerging, Agentic AI is expected to become a major area of investment over the next several years.

Supply Chain Visibility & Control Towers

Supply Chain Control Tower

A Supply Chain Control Tower provides a centralized view of suppliers, inventory, logistics networks, external risks, and operational dependencies.

Rather than relying on disconnected data sources, organizations can monitor critical supply chain activities from a single operational picture and identify disruptions earlier.

The same industry drivers accelerating adoption of digital twins, advanced analytics, and operational visibility platforms are also increasing demand for comprehensive supplier awareness and dependency mapping.[8]

Capability Business Value
Real-Time Visibility Improves awareness of inventory, suppliers, shipments, and operational dependencies.
Risk Monitoring Identifies supply chain disruptions, supplier issues, and emerging risks earlier.
Decision Support Enables faster and more informed operational and procurement decisions.
Executive Reporting Provides leadership with a consolidated view of supply chain performance and risks.


Digital Twins & Scenario Planning

Digital Twins create virtual representations of suppliers, transportation networks, inventory, and operational dependencies.

These environments allow organizations to evaluate potential disruptions before they occur and better understand downstream operational impacts.

As utilities adapt to increasing levels of inverter-based resources, distributed energy resources, and interconnected technologies, advanced modeling and simulation capabilities are becoming essential tools for planning, resilience analysis, and operational decision-making.[9]

Common scenarios include:

  • Supplier failures
  • Transportation disruptions
  • Severe weather events
  • Equipment shortages
  • Grid modernization delays

Recommendations

Area Recommended Actions
Procurement Require SBOMs and HBOMs, assess supplier security practices, review remote-access capabilities, and validate vendor security programs.
Visibility Maintain supplier inventories, map critical dependencies, improve traceability, and understand technology communications pathways.
Monitoring Continuously assess supplier risks, geopolitical developments, software vulnerabilities, and emerging threats.
Security Eliminate default credentials, implement MFA, restrict remote access, validate firmware integrity, and segment networks.

Emerging Trends

Utilities continue to monitor several technologies and practices that may significantly influence future supply chain operations, resilience, and risk management.

Industry Watchlist
High Priority Emerging Areas
  • Agentic AI
  • Supply Chain Control Towers
  • Digital Twins
  • Software Supply Chain Security
  • Third-Party Risk Monitoring
  • Autonomous Logistics
  • Robotics
  • IoT Asset Tracking
  • Digital Product Passports (DPPs)

Digital Product Passports (DPPs)

Digital Product Passports are emerging as a mechanism for improving product traceability and lifecycle transparency. Driven largely by international regulatory initiatives, DPPs may influence future procurement, supplier reporting, asset lifecycle management, and supply chain visibility programs.

References

  1. ↑ EPRI Supply Chain Assessment Research Program
  2. ↑ EPRI Security Design Architecture Review: Solar Inverters (3002029720)
  3. ↑ EPRI Technical Assessment Methodology (3002021184)
  4. ↑ EPRI Technical Assessment Methodology (3002017149)
  5. ↑ EPRI Security Design Architecture Review: Solar Inverters (3002029720)
  6. ↑ EPRI Defensible Network Architectures: Criteria for Secure OT Deployment in Power Systems (3002027430)
  7. ↑ EPRI Inverter-Based Resources and Grid Interconnection Research Area
  8. ↑ EPRI Supply Chain Assessment Research Program
  9. ↑ EPRI Inverter-Based Resources and Grid Interconnection Research Area

EPRI Resources

Related Topics

  • Inverter-Based Resources (IBRs)
  • Battery Energy Storage Systems (BESS)
  • Supply Chain Cybersecurity
  • Operational Technology (OT) Security
  • Digital Twins
  • Artificial Intelligence
  • Supplier Risk Management
  • Grid Modernization
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