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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallThere is no universally best warehouse automation system. Choose the architecture that fits your order profile, inventory, building and growth plan. Goods-to-person (GTP) robots are usually strongest when flexibility and incremental scaling matter; shuttle systems suit dense, high-throughput tote or case storage; conveyors excel at predictable movement between defined process points. In many facilities, the right answer is a combination rather than a robot-versus-conveyor choice.
Begin with measured demand and constraints, not a vendor’s headline rate. Compare average and peak order lines, SKU dimensions and weights, storage locations, clear height, floor area, ergonomics, maintenance access, implementation risk and lifecycle cost using the same system boundaries.
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What each warehouse automation system actually does
Goods-to-person robotics
In a goods-to-person design, automation brings inventory to a stationary operator. The item may arrive in a tote, bin, shelf or other storage container, while the worker performs the pick at an ergonomic workstation. Common architectures include autonomous mobile robots (AMRs) that carry bins to a picker, AMRs that move an entire shelf to a person, grid-based systems such as AutoStore, and shuttle-based goods-to-person systems.
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GTP changes the labor task from walking and searching to picking, replenishing, handling exceptions and maintaining quality. Its value depends on whether the work can be organized around repeatable stations and whether the storage and robot fleet can absorb the operation’s peaks.
Shuttle systems
A shuttle system uses multiple vehicles that travel within storage aisles. Shuttles retrieve and store totes or cartons and can feed workstations, buffer inventory, or sequence work for downstream processes. Dematic describes its Multishuttle as a system for storage, retrieval, buffering and sequencing.
Shuttles are a storage-and-retrieval subsystem, not simply a faster conveyor. Their performance depends on aisle layout, lift capacity, tote presentation, station design, controls and the balance between inbound replenishment and outbound demand.
Conveyors
Conveyors move goods or containers between defined points such as receiving, storage, picking, packing, sortation and shipping. They provide highly repeatable transport on established routes, but they do not by themselves decide where inventory is stored or present a broad assortment to a picker.
Swisslog describes conveyors integrated with shuttle systems and other automation. A conveyor can therefore connect a GTP or shuttle subsystem to receiving, replenishment, packing and shipping. Treating “conveyor” as the opposite of “robot” creates a false binary in many warehouse layouts.
Automated storage and retrieval systems
AS/RS is the broader family that automatically stores and retrieves inventory. AutoStore is one example: robots travel on top of a grid, retrieve stacked bins and deliver them to workstations for picking or replenishment. Mini-load crane systems and tote or case shuttles are other AS/RS forms, with different load, height and product requirements.
Where the main architectures differ
The following descriptions are positioning statements from supplier material, not guarantees for every installation. A site-specific design must test the assumptions against real SKU and order data.
| Architecture | Primary strength | Typical design question | Published figures to treat cautiously |
|---|---|---|---|
| AMR bin-to-picker | Flexibility and scalable robot-based movement | Can the fleet and stations handle peak demand while robots travel between storage and pick faces? | Dematic reports up to 400 order lines per hour per picker in its comparison; the configuration and operating assumptions must be verified. |
| AMR shelf-to-person | Bringing an entire mobile shelf or rack to the operator | Are storage modules, replenishment rules and station space suitable for the assortment? | Dematic distinguishes this architecture from bin-to-picker; no universal rate is established. |
| AutoStore-style grid | Very dense storage of small items in a compact footprint | Is floor area the binding constraint, and can the grid, bins and workstations accommodate the product mix? | Dematic describes grids up to 24 bins high in the configuration discussed. Confirm current engineering and building requirements. |
| Shuttle storage | High-throughput storage, retrieval, buffering and sequencing | Do aisle capacity, lift interfaces and stations match peak retrieval and replenishment demand? | Dematic reports more than 600 order lines per hour per station for Multishuttle in its comparison. The denominator differs from picker-based rates. |
| Mini-load crane AS/RS | Many storage locations and heavier or varied small loads | Can crane aisles use the available height and support the required load dimensions and weights? | Swisslog presents mini-load cranes as an alternative for a broad range of small-load dimensions and weights; no general rate is established. |
| Conveyor network | Predictable transport between fixed process points | Are routes stable enough to justify fixed equipment, and how will merges, accumulation and exceptions be handled? | Conveyor capacity is layout- and configuration-dependent; the cited material treats it as an integrated flow element rather than a universal standalone replacement. |
Start with the activity profile, not the technology label
Collect at least a year of order and inventory history, including promotional and seasonal peaks. The design should reflect the distribution of work, not just an average day.
- Order shape: record orders per hour, lines per order, units per line, single-line versus multi-line orders, and the share requiring each zone or temperature class.
- Peak behavior: separate normal, daily peak, weekly peak and seasonal peak. Note how long each peak lasts and whether the operation can release work in waves.
- Inventory: count active SKUs, units per SKU, replenishment frequency, velocity classes, lot or serial controls and security requirements.
- Physical profile: measure product length, width, height, weight, packaging stiffness, crushability, fragility, dust or liquid exposure and compatibility with totes or bins.
- Process constraints: document receiving, quality checks, replenishment, picking, packing, sortation, shipping cut-offs, returns and exception handling.
Dematic’s storage overview places Multishuttle toward higher throughput, AutoStore toward very high density and mini-load AS/RS where many locations and heavier loads are needed. Those are useful hypotheses; the actual activity profile decides whether they hold.
Compare throughput without mixing incompatible metrics
Published automation rates often describe different work. “Lines per hour per picker,” “lines per hour per station,” “picks per hour” and “totes per hour per aisle” are not interchangeable.
- Dematic’s comparison reports more than 600 order lines per hour per station for Multishuttle.
- The same comparison reports up to 400 order lines per hour per picker for AMR bin-to-picker.
- Swisslog’s Making AutoStore Work for You white paper reports up to 2,000 totes per hour per aisle for its CycloneCarrier configuration.
These are supplier-published claims for named configurations. A station rate may include several operators or a particular work content; an aisle rate describes tote movement, not completed order lines. Before comparing proposals, require every supplier to state the denominator, product mix, number of operators, utilization, replenishment assumptions, wave or batch logic, and whether the figure is a sustained or peak rate.
Evaluate storage density and building fit
When density is the binding constraint
Grid-based systems can use floor area efficiently by stacking bins. Dematic describes the AutoStore configuration in its comparison as reaching up to 24 bins high. This is not permission to assume that height in every building: verify structural loading, fire protection, maintenance access, bin geometry and local code.
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Dematic describes Multishuttle configurations with storage height up to 20 metres and emphasizes throughput and height utilization. A tall aisle can increase capacity, but it also affects fire systems, lifts, access platforms, evacuation paths, installation sequencing and the consequence of a mechanical outage.
When the building is constrained or irregular
AMR systems can route around some columns and can be expanded in modules, while fixed conveyors and aisle-based systems need carefully protected paths. A constrained floor plan does not automatically favor robots: account for charging, pedestrian separation, station queues, replenishment travel, battery servicing and fire egress.
Test product suitability before selecting equipment
Ask each bidder to map every SKU family to a defined storage and handling method. The test should include the smallest and largest items, awkward packaging, unstable cartons, liquids, fragile goods, slow movers, high-security items and products whose dimensions change with packaging.
Rank #3
The cited comparisons identify product suitability as a differentiator but do not establish universal SKU limits across suppliers. Require written limits for tote or bin dimensions, load weight, center of gravity, barcode or RFID presentation, allowable overhang, dust and temperature conditions, and the procedure for a product that falls outside those limits.
Choose flexibility and growth deliberately
Flexibility has several meanings. It can mean rerouting around a blocked aisle, adding storage, adding robots, changing workstation count, supporting a new SKU profile, or absorbing a temporary peak.
- Robot fleet growth: Dematic describes AMR approaches as flexible and scalable. Confirm the number of robots, charging capacity, traffic-management limits and software licenses needed at each volume tier.
- Grid growth: Dematic says AutoStore throughput can be increased by adding robots and storage by expanding the grid. Verify expansion space, live-operation disruption, structural interfaces and the cost of adding ports or workstations.
- Shuttle growth: Additional shuttles, lifts, aisles or stations may increase capacity, but the controls architecture and building layout can limit incremental expansion.
- Conveyor growth: Fixed routes are efficient when stable, but adding a new process may require new merges, accumulation, controls and physical runs.
Ask for a staged design: launch capacity, expected year-three demand, peak-season capacity and the physical or software steps needed to reach each stage.
Account for ergonomics, staffing and maintenance
GTP can reduce walking and bending, but it does not remove labor requirements. Operators still perform item identification, picking, replenishment, quality checks, exception resolution and housekeeping. Station height, reach envelope, tote presentation, screen prompts, lighting and the frequency of lifting determine whether the design is genuinely ergonomic.
Maintenance access is equally important. Document preventive-maintenance windows, spare parts, mean time to repair targets proposed by the supplier, safe access to elevated equipment, manual recovery procedures and the effect of a failed robot, lift, conveyor zone, workstation or network segment. Dematic lists ergonomics and maintenance among the criteria that distinguish GTP options; the vendor comparison does not establish a guaranteed labor or uptime outcome for a particular site.
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A project schedule includes data cleansing, concept design, detailed engineering, permitting, procurement, building work, software integration, installation, testing, operator training, cutover and ramp-up. Dematic qualitatively describes Multishuttle as taking longer to implement than other GTP options, but the available material does not provide a reliable schedule benchmark.
- Freeze the baseline: agree on SKU, order, labor, building and service-level data and the exact peak scenario to be designed.
- Model alternatives: use identical demand, utilization, labor and operating-hour assumptions for every architecture.
- Survey the facility: verify floor flatness, structural loads, clear height, columns, utilities, fire protection, network coverage, pedestrian routes and expansion zones.
- Design the transition: decide whether the current operation runs in parallel, moves by zone, or cuts over during a planned shutdown. Include temporary storage and manual fallback capacity.
- Commission in stages: test safety circuits, empty movements, representative SKUs, replenishment, order release, exception paths, recovery after faults and peak-like waves before accepting production rates.
- Ramp with measured targets: track station utilization, queue time, pick accuracy, replenishment response, downtime, manual touches and backlog by shift.
Design the whole material flow
Storage technology is only one part of the process. Map every handoff from receiving to shipping:
Rank #4
- Receiving may need inspection, labeling, decanting and inbound buffering before inventory enters a grid, shuttle aisle or shelf zone.
- Replenishment must deliver the right SKU to the right location before a picker or robot requests it.
- Picking stations need accumulation, container identification, weigh or quality checks and a route for rejected or short items.
- Packing and sortation need interfaces that prevent a high-speed storage subsystem from being throttled by downstream labor or carton handling.
- Shipping needs staging logic, carrier cut-off control and a recovery plan when a destination lane is blocked.
Swisslog describes shuttle integration with autonomous vehicles and pallet and light-goods conveyors. The lesson is architectural: define ownership of each handoff, buffer and control decision rather than buying isolated machines.
Make software and controls part of the selection
Warehouse execution software determines how orders are released, how locations are assigned, how replenishment is prioritized and how work is sequenced. Dematic identifies its Dematic iQ WES as supporting storage-management strategies and location rules. Regardless of the platform, require a documented interface to the warehouse management system, host-order acknowledgements, inventory status, alarms, manual overrides and audit history.
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During demonstrations, ask suppliers to show the same scenarios: a hot SKU running out at a station, a blocked conveyor zone, a robot with a low battery, a failed shuttle, a mis-picked item, a late inbound trailer and a carrier cut-off moved forward. The quality of exception handling often matters more than an ideal-path demonstration.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Build a lifecycle cost model instead of relying on payback claims
No independent, apples-to-apples total-cost or payback study is established by the cited material. Create a common model that includes:
- equipment, installation, building modifications, permits and commissioning;
- robots, shuttles, lifts, conveyors, bins, totes, workstations and safety systems;
- warehouse-management, execution, controls and licensing costs;
- labor changes for picking, replenishment, supervision, maintenance and IT support;
- electricity, charging, compressed air where applicable, consumables and spare parts;
- planned maintenance, software support, training and cybersecurity work;
- downtime, manual fallback, peak-season rental space and the cost of operational disruption;
- future capacity additions, expansion space and decommissioning or relocation.
Require each proposal to show assumptions and sensitivity cases. Test lower-than-forecast volume, a severe peak, a changed SKU mix, higher labor costs, a station outage and a delayed expansion. A system with a lower purchase price can cost more if it needs expensive building work or cannot grow without a major shutdown.
Common selection mistakes and how to prevent them
Ranking one headline number
Fix the denominator before comparing rates. Convert every proposal to the same completed order-line, unit and service-level definition, with labor and utilization stated.
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Dense storage can increase travel inside the system, replenishment pressure, retrieval queues and the consequence of a blocked subsystem. Measure total process capacity, not bins per square metre alone.
Ignoring fire, structural and permitting constraints
Dematic notes that AutoStore installations can face fire-regulation challenges in some situations. Local authorities and qualified designers must confirm the applicable rules for the actual building; supplier literature is not local code guidance.
Designing for average demand
Average volume hides the peak that determines stations, robots, shuttles, lifts, buffers and labor. Model the longest sustained peak and the recovery period afterward.
Buying storage without a flow plan
A fast storage system cannot compensate for slow decanting, packing or shipping. Simulate queues and handoffs across the entire order journey.
Underestimating exceptions
Specify manual retrieval, damaged inventory, unreadable labels, short picks, blocked lanes, network loss and equipment isolation before contract signature.
Which architecture fits common operating situations?
Flexible assortment with changing demand
AMR bin-to-picker or shelf-to-person designs are candidates when the assortment, layout or volume changes frequently and the operation values modular deployment. Confirm that charging, traffic and station capacity will not become the new bottleneck.
Very dense small-item storage in limited floor space
An AutoStore-style grid is a candidate when compact storage is more valuable than unrestricted item shape. Validate bin compatibility, fire design, access and the retrieval profile of the fastest-moving SKUs.
High, sustained tote or case retrieval demand
A shuttle system is a candidate when storage, buffering and sequencing must operate at high rates and the building can support aisles, lifts and service access. Use the actual peak order profile to size shuttles and stations.
Many locations, heavier loads or broad load dimensions
Mini-load crane AS/RS may fit where a wide range of small-load dimensions and weights, many locations and available clear height justify crane aisles. Compare crane cycle time, redundancy and maintenance access with shuttle alternatives.
Stable routes between separated process areas
Conveyors are a strong transport layer when receiving, storage, picking, packing and shipping have predictable physical relationships. Add accumulation, merges, buffers and bypasses so one blocked zone does not stop the building.
A practical request-for-proposal checklist
- Provide the same SKU master, order history and peak scenario to every bidder.
- Define whether the required output is orders, lines, units, picks or totes, and the period over which it must be sustained.
- Require a layout showing storage, stations, buffers, replenishment, charging, maintenance access, fire systems and pedestrian separation.
- Ask for written product limits and a disposition process for out-of-profile items.
- Request capacity at launch, normal peak, seasonal peak and planned expansion stages.
- Separate equipment capacity from labor capacity and state utilization assumptions.
- Require a software and controls narrative covering interfaces, location rules, order release, alarms and manual recovery.
- Obtain a five- to ten-year lifecycle model with maintenance, energy, labor, downtime and expansion assumptions.
- Ask for acceptance tests using representative SKUs and fault scenarios, not only an ideal-path demonstration.
- Confirm responsibility for permits, code compliance, training, cybersecurity, spare parts and post-go-live support.
Bottom line
Choose GTP robotics when modular flexibility and reduced operator travel are the central constraints, shuttle systems when dense storage and sustained retrieval throughput dominate, and conveyors when predictable movement between fixed process points is the main need. Most large operations will combine them. The defensible selection is the one that meets the measured peak, handles the actual product profile, fits the building, has recoverable failure modes and remains economical to expand and maintain. Supplier claims can narrow the field, but only a common, site-specific model can identify the right system.
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