Capabilities

Supply chain strategy and network design

Design supply-chain networks around service, resilience, capacity, cost and the strategic requirements of future demand.

Design the supply network around the demand, resilience and economics the business will need rather than the footprint it inherited

We connect customer demand, sourcing, production and distribution choices to determine how the future supply network should be configured.

Supply networks accumulate factories, suppliers and distribution nodes over years of growth, acquisitions and local decisions. The resulting footprint may no longer reflect current demand, risk or cost conditions. Network choices are difficult to reverse because they embed capital, contracts and operational dependencies. Supply-chain strategy examines the network as one system and tests alternative configurations across sourcing, production, capacity, inventory and distribution. This reveals where the enterprise needs more scale, flexibility, regionalization or redundancy and how those changes affect service, cost, working capital and resilience together.

Focus

Supply-chain design determines where the enterprise carries cost, risk and capacity

Suppliers, plants, warehouses and routes shape service, resilience and capital requirements long before daily execution begins.

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Strategic Challenges

Where should the network place capacity, inventory and critical dependencies?

The challenge is balancing economics, service and resilience across geographic and supplier choices that are difficult to reverse.

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Strategic Impacts

Network design makes structural supply-chain trade-offs explicit

Scenario analysis helps leadership compare footprint, capacity and sourcing choices before operational constraints become embedded.

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Observed Patterns

Supply networks often evolve through incremental decisions rather than deliberate design

New sites, suppliers and warehouses accumulate until cost and complexity reflect history more than current strategy.

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Strategic Challenges

Where should the network place capacity, inventory and critical dependencies?

The challenge is balancing economics, service and resilience across geographic and supplier choices that are difficult to reverse.

Read now

Strategic Impacts

Network design makes structural supply-chain trade-offs explicit

Scenario analysis helps leadership compare footprint, capacity and sourcing choices before operational constraints become embedded.

Read now

Observed Patterns

Supply networks often evolve through incremental decisions rather than deliberate design

New sites, suppliers and warehouses accumulate until cost and complexity reflect history more than current strategy.

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POV

You cannot operate your way out of a badly designed supply network

Execution improvements have limits when capacity, geography and dependencies are structurally misaligned with demand.

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Our approach

Model sourcing, production and distribution as one network before changing individual facilities, suppliers or flows

Our approach begins by defining future demand, service requirements and strategic constraints and mapping the current network across suppliers, facilities, capacity, inventory and transportation. We model alternative footprints and flow configurations under different demand, cost and disruption scenarios and quantify implications for service, capital and resilience. Make-buy choices, regionalization and redundancy are assessed alongside network economics. We then define the preferred architecture and transition path, identifying which network decisions are reversible and which require earlier commitment because of lead times or capital intensity.

The data and estimates presented are indicative and intended for illustrative purposes. Actual outcomes may vary based on each company’s specific context, market conditions, operating model, implementation choices, and the quality and consistency of execution, including actions undertaken by the client.

Keypillars

Explore the key pillars that define this capability and shape how we create focused, measurable business impact.

Network architecture

Defines the configuration of suppliers, plants, warehouses, inventory, and transport flows required to support business strategy

Trade-off analysis

Balances cost, service, resilience, lead time, capacity, working capital, and risk across alternative supply-chain configurations

Structural flexibility

Designs network choices that can adapt to demand shifts, sourcing changes, disruption, and evolving geographic or market priorities

Is your supply network designed for the markets, risks and service requirements your business now faces?

Get in touch with our Supply chain strategy and network design team to define network structure, capacity, sourcing and distribution choices.

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Strategic Framework

Explore our Strategic Framework

Explore our strategic framework applied to page_title and discover which model we apply to help you achieve your goals and objectives.

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01. Map network

Assess suppliers, plants, warehouses, customers, flows, capacity, costs, lead times, and geographic dependencies

06. Sequence transition

Plan facility, sourcing, capacity, inventory, and logistics changes while protecting operational continuity

05. Select network

Determine the preferred footprint, flows, capacity allocation, sourcing structure, and inventory positioning

01 MAP NETWORK 02 DEFINE REQUIREMENTS 03 MODEL OPTIONS 04 TEST TRADEOFFS 05 SELECT NETWORK 06 SEQUENCE TRANSITION 6 STEPS STRATEGIC MODEL
02. Define requirements

Translate growth, service, product, resilience, cost, and market priorities into network design criteria

03. Model options

Develop alternative sourcing, production, inventory, facility, and distribution configurations

04. Test tradeoffs

Compare scenarios across total cost, service, capacity, resilience, working capital, risk, and investment

How we help

Design supply networks that balance customer service, economics, capacity and resilience across sourcing, production and distribution

We provide supply-chain strategy and network design across suppliers, manufacturing, inventory and distribution footprints. The work can include network modeling, sourcing and make-buy choices, capacity strategy, facility roles, regionalization, inventory placement and resilience scenarios. Outputs define how the future network should be configured, where capacity or redundancy is required and how alternative architectures affect cost, service, capital and exposure to disruption.

  • Supply chain strategy
  • End-to-end network design
  • Supply chain network optimization
  • Manufacturing network design
  • Distribution network design
  • Supplier network design
  • Network footprint optimization
  • Supply chain service strategy
  • Supply chain segmentation
  • Supply chain cost-to-serve
  • Inventory network strategy
  • Capacity network strategy
  • Supply chain resilience strategy
  • Nearshoring and regionalization assessment
  • Make-buy-location analysis
  • Supply chain scenario modeling
  • Supply chain investment planning
  • Network transition roadmap

Explore our FAQs

Find answers to the most common questions about this service, including key features, processes, and practical considerations. Explore our FAQs for additional insights and guidance.

It should define the network, sourcing, inventory and operating choices needed to balance cost, service and resilience.

When demand, sourcing, costs or risk change enough that the current location and flow of inventory no longer support business needs.

Consider demand, transport, labor, inventory, infrastructure and resilience together rather than optimizing individual cost components.

Identify critical nodes and test whether alternative capacity, inventory or routes can sustain operations during plausible disruptions.

Incremental additions of sites, suppliers and flows can accumulate without reconsidering whether the overall network remains efficient.

Compare total network economics with customer requirements rather than assuming faster service or lower cost is always preferable.

Test alternative demand, cost and disruption conditions to understand which network choices remain robust across plausible futures.

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