Network, Depot and Warehouse Design

Define the service the network must provide

Network design begins with the customer and operating commitments that the facilities must support. A next-day delivery promise requires a different footprint from a three-day promise. Emergency parts, fresh products and low-value bulk goods also justify different locations and inventory policies.

Marketways specifies the demand to be served, order cut-off, delivery window, fill rate, return requirement and recovery expectation. We distinguish firm commitments from preferences. This service definition prevents the model from reducing cost by producing a network that the business cannot use.

Reconstruct the flows before selecting locations

Sales records often show where an invoice was raised rather than where the order originated, travelled or was delivered. Transfer movements, returns, failed deliveries and inter-branch replenishment may sit in separate systems. A facility decision based on incomplete flows can move cost elsewhere in the network.

Marketways reconstructs origin, destination, product, quantity, order profile, route and time. We separate customer demand from internal transfers and record the reverse flow. The resulting flow model establishes what each existing or proposed node would need to receive, store, process and dispatch.

Segment products and orders by operating requirement

Not every product can use the same building, vehicle or process. Temperature, hazard, security, shelf life, dimensions, value, compatibility and handling frequency can determine whether products may share inventory and capacity. Order profiles also affect picking effort and dispatch timing.

Marketways groups products and orders only where their operating requirements support a common design. The model can assign different facility types or fulfilment paths to different segments. This approach avoids a single network average that hides costly or infeasible exceptions.

Represent demand geography and uncertainty

Current demand indicates where customers bought under the existing network, prices and service levels. It does not fully describe demand after a new facility changes delivery time, coverage or commercial reach. Customer wins, market entry and channel growth can also shift the centre of demand.

Marketways combines current flows with Volume and Capacity Forecasting, commercial plans and explicit scenarios. We model demand by customer zone, product segment and period. Management can see which facility choices depend on a stable base and which depend on uncertain future growth.

Evaluate candidate sites through operating feasibility

A location may appear attractive because it is close to customers or inexpensive. However, land, access, utilities, labour, permits, vehicle restrictions, supplier lead times and building configuration may prevent the facility from performing its proposed role.

Marketways screens candidate sites against mandatory requirements before optimisation. Feasible sites then enter the economic and service comparison. This sequence stops the model from recommending a mathematically efficient location that cannot be commissioned or operated.

Optimise location, assignment and flow together

The value of a facility depends on the customers, products and suppliers assigned to it. Choosing a warehouse first and allocating demand later can create excessive travel, congestion or duplicate stock. Conversely, allocating every customer to the nearest site can ignore inventory and inbound transport.

Marketways evaluates facility opening, customer assignment and material flow within one network model. Fixed facility costs, inbound and outbound transport, handling, service and capacity enter the same comparison. The recommended footprint therefore reflects the complete consequence of each location choice.

Coordinate inventory with the facility footprint

Centralising stock can pool demand variability and reduce duplicated safety inventory. Yet centralisation may lengthen replenishment and customer lead times or make one facility critical. More local inventory can improve response while increasing working capital and obsolescence risk.

Marketways connects facility design with multi-echelon inventory policy. We determine which products should be held centrally, regionally or locally and which can flow through without storage. Lead time, demand variability, service level, order quantity and product value determine the inventory consequence of each design.

Account for congestion and step capacity

Warehouses can gain economies of scale until volume approaches a physical or operating limit. Beyond that point, congestion, overtime, travel distance, errors and delayed dispatch can increase cost and reduce service. Average unit cost cannot represent this change.

Marketways models dock, storage, picking, packing, staging, labour and equipment constraints. Capacity can increase in discrete units such as a shift, line, sorter or building module. The analysis identifies when consolidation saves cost and when concentrated demand creates diseconomies that justify another node or expansion stage.

Design the operating role of each facility

Two warehouses at similar locations can perform different functions. One may hold slow-moving inventory, another may cross-dock high-volume products, and a third may postpone final configuration until demand is known. Facility role determines process, technology, space and skill requirements.

Marketways defines whether each node will store, break bulk, consolidate, cross-dock, customise, fulfil e-commerce orders, process returns or provide emergency cover. We then connect the role with the required layout and capacity. Location and facility design become one operating decision.

Test delivery and collection routes

A facility does not create service merely by sitting within a radius of customers. Road speeds, time windows, vehicle restrictions, stop density, cut-off times and return journeys determine whether routes can complete the promise at acceptable cost.

Marketways tests representative routes and operating days for each proposed footprint. The analysis links Fleet and Route Optimisation with facility assignment. This prevents straight-line distance or average transport rates from overstating the benefit of a site.

Include returns and failed movements

Many networks are designed around outbound delivery while returns, reusable assets, repair, recycling and failed deliveries are treated as exceptions. These flows still consume transport, handling, inspection and storage. They may also require a different destination from the original dispatch point.

Marketways models the reverse flow and the disposition decision. The network can route an item to restock, repair, quarantine, recycle or disposal according to product and service rules. Including these movements reveals capacity and cost that an outbound-only design would miss.

Measure dependence and recovery

Consolidating inventory and processing can reduce ordinary cost while increasing dependence on one facility, corridor or border. The lowest-cost footprint may therefore produce the largest service loss when a critical node becomes unavailable.

Marketways tests partial and complete capacity loss at important facilities and links. We measure the demand that can be reassigned, the time required, the inventory or transport buffer needed and the residual shortfall. Management can compare the cost of backup capacity, alternate routing, postponement or inventory protection with the recovery each measure provides.

Stage investment when future demand remains uncertain

A large facility can provide a lower long-run unit cost if forecast growth occurs. If demand develops slowly or in another geography, the same commitment can leave the organisation with stranded space and inflexible leases. Waiting also has a cost when the existing network is already constrained.

Marketways compares immediate, phased and contingent investment. The plan may reserve land, design an expandable module, lease temporary capacity or defer automation until a defined trigger. Staging preserves options while identifying the point at which delay would compromise service or increase total cost.

Compare designs through transparent scenarios

One recommended network can conceal dependence on a narrow set of assumptions. Fuel prices, property costs, demand growth, service promises, inventory carrying cost and disruption duration may each alter the preferred design.

Marketways tests named scenarios and sensitivity around material assumptions. We show which facilities remain valuable across plausible futures and which appear only under one forecast. Management can distinguish a robust decision from a precise answer built on fragile inputs.

Plan the transition from the current network

A new footprint cannot usually replace the existing network at once. Inventory must be moved, customer allocations changed, systems configured, employees trained and contracts amended without interrupting service. The transition may temporarily require duplicate capacity.

Marketways sequences openings, closures, inventory transfers and customer migration. The plan defines dependencies, temporary buffers and decision gates. The economic case includes transition cost and operating risk rather than assuming that the future network appears immediately.

Use AI for evidence preparation and controlled replanning

An AI-assisted workflow can assemble demand updates, facility constraints, rates, disruptions and project milestones. It can identify when an approved assumption changes and prepare a revised scenario for review.

The workflow should not open or close a facility, reassign customers or commit a lease without authorised approval. Marketways tests missing flows, stale rates, duplicate facilities, infeasible sites and failed optimisation or data tools. Automation keeps the evidence current while management retains responsibility for commitments that change the network.

Evaluate the design after implementation

The model estimates how a proposed network should perform. After implementation, management must compare that estimate with delivered cost, lead time, fill rate, inventory, capacity use, service failures and recovery performance.

Marketways preserves the assumptions and expected outcomes for each investment stage. We investigate material differences between forecast and realised performance and update the demand, cost or operating model. This feedback shows whether the network delivered the intended value and whether the next stage remains justified.

How Marketways supports network design

Marketways combines Business Systems Design and Architecture, Business Feasibility Study, forecasting, facility-location optimisation, multi-echelon inventory analysis, routing, simulation and scenario testing. We reconstruct flows, define service, screen feasible sites and compare network choices under demand and disruption uncertainty.

The recommendation specifies the role, capacity and inventory logic of each facility; the customers and flows it should serve; the investment sequence; and the conditions that should trigger the next decision.

Related guides and evidence

• Volume and Capacity Forecasting
• Fleet and Route Optimisation
• Disruption and Corridor Resilience
• Perishable Distribution and Decay Model
• Sales and Operations Planning
• Product-Sensitive Distribution and Route Optimisation: case study