Glossary

How logistics systems are designed: objectives and workflow

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Logistics systems are designed by translating service targets, flows, constraints and operating rules into evaluated concepts.

Logistics planning is the structured design of transport, storage, handling, inventory and information rules for a defined system. This definition treats the task as an integrated system design: demand, service targets and constraints are converted into an operable target system rather than isolated technology decisions.

Which decisions does logistics system design support?

The system boundary determines the decision. A network study allocates functions between sites; intralogistics design connects receiving, storage, production supply and shipping within a site. The same method can also focus on a warehouse, a production segment or a single supply loop.

Decision levelTypical questionRepresentative result
NetworkWhich site should hold inventory or perform a process?Role and capacity by location
SiteHow should receiving, production, storage and shipping interact?Target process and area structure
SystemWhich transport and storage principles fit the demand?Evaluated concept variants
OperationWhich control, staffing and replenishment rules are required?Operating concept and performance targets

Workflow from objective to target system

  1. Define objectives and scope: agree service level, capacity horizon, cost targets, interfaces and exclusions.
  2. Validate the current state: reconcile process observation, master data, quantities, peaks, inventory and constraints.
  3. Translate demand into requirements: derive storage, transport, handling, space and control requirements.
  4. Develop alternatives: compare process, layout, technology and operating variants on common assumptions.
  5. Select and detail the preferred concept: document performance, investment, operating cost, risks and implementation steps.
  6. Verify the result: test interfaces, peak scenarios and implementation readiness before procurement or construction.

Required data and useful deliverables

Useful inputs include demand and product structure, sources and destinations, order profiles, load carriers, process times, inventory, shift calendars, layouts and technical restrictions. Data quality must be stated explicitly; false precision in early phases is less useful than transparent ranges and scenarios.

Depending on the decision, the deliverables can include a process map, relationship matrix, dimensioning model, block layout, equipment concept, control principles, variant comparison, business case and implementation roadmap. Each result should state its assumptions, units, reference period and owner.

Distinction from adjacent services

  • Logistics concept consulting develops the project-specific target system and implementation basis.
  • Warehouse planning focuses on storage, order picking, building interfaces and equipment.
  • Material flow analysis quantifies relationships and bottlenecks and can support simulation and improvement.
  • Supply-chain strategy addresses cross-company networks, sourcing and distribution decisions beyond the internal operating system.

Logistics planning in practice: Our services overview brings together the relevant planning and consulting approaches.