Supply Chain Network Design

Supply chain network design is the strategic process of deciding how many facilities a company should operate, where to locate them, and how product should flow between them to balance cost, service, and resilience. Get it wrong and every downstream operation — transportation, inventory, order fulfillment — inherits the inefficiency. Get it right and the network becomes a lasting competitive advantage.

At its core, network design answers a handful of structural questions: how many distribution centers should exist, where should they sit relative to suppliers and customers, which facility serves which region, and how should inventory be allocated across nodes. These are not one-time decisions — they are periodically revisited as demand patterns, supplier bases, and transportation costs shift.

• Number and location of plants, distribution centers, and cross-dock points
• Assignment of customers or regions to serving facilities
• Transportation lanes and modes connecting each node
• Inventory positioning — centralized versus regional stocking

Every network design exercise revolves around a fundamental tension: more facilities generally improve delivery speed and reduce outbound transportation cost, but they increase fixed costs, fragment inventory, and raise total safety stock requirements across the network. Fewer, larger facilities do the opposite — lower inventory and overhead, but longer average delivery distances.

Modern network design relies on optimization models that ingest historical shipment data, customer locations, demand volumes, and cost inputs (facility, labor, transportation, inventory carrying cost) to recommend an optimal or near-optimal configuration. These models typically test dozens of scenarios — three DCs versus five, regional versus national, single-echelon versus multi-echelon — and score each against cost and service-level targets.

• Center-of-gravity analysis for initial site candidates
• Mixed-integer optimization for facility count and assignment
• Scenario simulation for demand volatility and disruption stress-testing

Networks rarely stay optimal for long. A network built for a 60% brick-and-mortar, 40% e-commerce split becomes obsolete when the ratio inverts. Mergers, new markets, changing freight rates, and shifts in supplier geography all erode the assumptions baked into the original design. Companies that treat network design as a five-year exercise, revisited only during a crisis, typically carry years of embedded inefficiency without realizing it.

Traditional network design optimized almost exclusively for cost. Increasingly, companies weight resilience alongside cost — deliberately avoiding single-source dependency on one facility or one region, even at a modest cost premium, so that a regional disruption does not stop the entire flow of goods. This means running the optimization with dual or multi-sourcing constraints rather than accepting the lowest-cost single-node answer by default.