Material handling systems MHS and the design choices behind efficient material flow
What material handling systems MHS mean in industrial operations
Material handling systems MHS are the coordinated methods, equipment, controls and operating rules used to move, store, protect and track materials inside a plant, warehouse, distribution center or processing site. In practice, an MHS is not just a conveyor, forklift fleet or robot project. It is the physical and digital structure that determines how raw materials, work-in-process, finished goods, pallets, cartons, totes, bulk solids or heavy components move from receiving to production, storage, picking, packing and shipping.
For industrial operations, the main question is how each movement supports throughput, safety, space utilization and total operating cost. MHI’s public glossary describes material handling as the movement, storage, control and protection of materials, goods and products across manufacturing, distribution, consumption and disposal. That broad definition is useful because it keeps teams from treating equipment purchases as isolated fixes. Readers interested in related industrial flow topics can explore the material flow section for more context.
The core functions of an MHS
An MHS should be evaluated by the functions it performs, not only by the machines it includes. In most facilities, those functions fall into five practical groups.
- Movement: Transferring material between receiving docks, storage, work cells, production lines, inspection, packing and outbound staging.
- Storage: Holding material in racks, shelving, silos, bins, automated storage systems, floor locations or buffer zones without losing visibility or access.
- Control: Directing the right item to the right place at the right time through warehouse management systems, PLCs, sensors, barcode scanning, RFID, machine vision or manual procedures.
- Protection: Preventing damage to products, packaging, equipment, workers and the building during handling and storage.
- Synchronization: Connecting material movement with production takt time, order release, replenishment, transportation schedules and labor availability.
When these functions are planned together, material handling becomes a system. When they are planned separately, facilities often create hidden cost: extra touches, long travel paths, bottlenecks at transfer points, excess work-in-process and safety risks that become more visible as volume increases.
Main types of material handling systems
Material handling systems vary by load type, route, throughput and degree of automation. The table below summarizes common options and the design limitations that should be considered before selection.
| System type | Typical use | Key limitation |
|---|---|---|
| Conveyors and sortation | Cartons, totes, parcels, parts and repeatable line-side movement | Best for predictable routes; changes can be costly after installation |
| Lift trucks and pallet handling equipment | Palletized loads, mixed routes, docks and flexible warehouse movement | Dependent on operator training, traffic control, maintenance and floor conditions |
| Automated storage and retrieval systems | High-density pallet, case or tote storage with controlled retrieval | Requires accurate inventory data, stable unit loads and careful maintenance planning |
| AGVs and AMRs | Repeated internal transport, replenishment, goods-to-person workflows and line feeding | Needs route management, charging strategy, fleet software and pedestrian interaction controls |
| Cranes, hoists and monorails | Heavy, awkward, long or high-value loads in manufacturing and maintenance areas | Coverage area, structural capacity and lift planning determine usefulness |
| Bulk material handling | Powders, pellets, grains, minerals, chemicals and other loose materials | Flow behavior, dust control, contamination and cleaning requirements dominate design |
No category is automatically superior. A conveyor may be the right fit for stable carton flow and a poor fit for a fast-changing product mix. A forklift fleet may provide flexibility while also creating congestion and ergonomic risk. An automated storage system may save space, but only if the data, unit loads and maintenance capability are ready to support it.
Design criteria that matter before equipment selection
The strongest MHS projects start with the load, the process and the operating target, not with a catalog. The College-Industry Council on Material Handling Education and MHI have long promoted ten material handling principles, including planning, standardization, work minimization, ergonomics, unit load, space utilization, system thinking, automation, environmental considerations and life cycle cost. These principles remain useful because they push design teams to look beyond first purchase price.
Unit load and product characteristics
The unit load defines what the system must actually handle. Pallets, cartons, totes, coils, sheets, drums, bags, bins and irregular components all impose different requirements. Weight, center of gravity, fragility, stackability, temperature sensitivity, dust, moisture and hazardous classification can change equipment choices. A system designed around standard pallets may fail when product teams introduce unstable mixed loads or non-standard packaging.
Throughput and variability
Average daily volume is rarely enough for MHS sizing. Engineers also need peak hour demand, order profiles, batch sizes, SKU mix, seasonal surges, changeover frequency and downtime assumptions. A system that performs well at steady average flow may become the bottleneck during receiving peaks, wave picking, production line starts or shipping cutoffs.
Layout, distance and touch points
Material handling work increases with flow volume and distance moved. Long travel paths, repeated staging, unnecessary elevation changes and poorly located buffers add labor, energy use and congestion. Layout reviews should identify where material waits, where it is rehandled and where information handoffs occur. Reducing a movement is often more valuable than automating an unnecessary one.
Controls and data readiness
Modern MHS performance depends heavily on controls and data quality. Barcode labels, RFID tags, sensors, PLC logic, warehouse management systems, manufacturing execution systems and enterprise resource planning interfaces must agree on item identity, location and status. Poor master data can turn an automated system into a fast error multiplier.
Life cycle cost
Capital cost is only one part of the decision. Life cycle cost includes energy, maintenance labor, spare parts, software licensing, downtime, training, safety devices, controls support, cleaning, future modification and eventual replacement. For critical production or fulfillment operations, availability and maintainability often deserve as much attention as purchase price.
Safety and compliance are design constraints, not add-ons
Safety should be built into the MHS from the start. OSHA’s public warehousing guidance identifies hazards associated with powered industrial trucks, ergonomics, material handling, hazardous chemicals, slips, trips, falls and robotics. These categories align closely with common risk points in plants and distribution centers: mixed pedestrian and vehicle traffic, repetitive lifting, unstable storage, pinch points, poor visibility, battery charging, inadequate guarding and maintenance access.
For manual tasks, ergonomic design should consider lift height, reach distance, load weight, repetition, twisting, pushing, pulling and worker posture. For conveyors, designers should consider guarding, emergency stops, lighting, access platforms, lockout procedures and safe clearing of jams. For lift trucks, traffic lanes, speed controls, operator training, rack protection and dock safety are fundamental. For automated mobile equipment, ISO 3691-4 addresses safety requirements for driverless industrial trucks and their systems, including equipment commonly described as AGVs, AMRs, bots and automated carts. See also: automation and controls.
The practical lesson is straightforward: safety measures should not be retrofitted after throughput targets are set. If a design depends on people working too close to moving equipment, clearing jams frequently, lifting from poor heights or crossing high-traffic routes, the system design is incomplete.
Automation trends changing MHS planning
Automation is increasingly central to MHS planning, but the strongest business cases are usually targeted rather than fashionable. MHI and Deloitte’s 2025 industry reporting, summarized in industry publications, highlighted expected five-year adoption levels for technologies such as sensors and automatic identification, robotics and automation, artificial intelligence, cloud platforms and optimization tools. These signals suggest that material handling decisions are moving from stand-alone equipment toward connected systems that combine movement, storage, sensing and analytics.
For many facilities, the first automation opportunity is not a fully automated warehouse. It may be scan accuracy at receiving, automatic label verification, conveyor accumulation control, pallet shuttle storage, robotic palletizing, autonomous transport between fixed points or goods-to-person picking. Each step should solve a defined constraint, such as labor availability, travel time, ergonomic exposure, inventory accuracy, floor space, order cycle time or production reliability.
There are limits. Automation can underperform when product data is inaccurate, SKU profiles change faster than the design assumptions, maintenance teams are not trained, or exception handling is ignored. The goal is not to remove people from every task. The goal is to assign people, machines and software to the work each can perform most reliably.
A practical checklist for selecting an MHS
Before approving a material handling project, teams should work through a structured checklist. The answers will usually show whether the preferred technology fits the operation or whether the process itself needs redesign.
- Define the load: What sizes, weights, packaging types, stability limits and damage risks must be handled?
- Map the flow: Where does material enter, wait, move, transform, get inspected, get stored and leave?
- Measure the demand: What are average, peak and future throughput requirements by hour, shift and season?
- Identify constraints: What limits the design: ceiling height, floor condition, column spacing, dock capacity, fire codes, temperature, dust, traffic or utilities?
- Evaluate interfaces: What systems, sensors, labels, controls and human decisions must connect?
- Plan exceptions: How will the system handle damaged goods, rush orders, rejected parts, blocked routes, equipment downtime and manual overrides?
- Test safety assumptions: Where could a person be struck, trapped, overexerted or exposed to stored energy?
- Compare total cost: What is the cost over the expected service life, not just at purchase?
- Design for change: Can the system adapt to new products, packaging, volumes, software and regulatory expectations?
A clear checklist also helps avoid a common mistake: choosing a machine to solve a symptom. If travel time is high because storage locations are poorly assigned, software and slotting changes may produce value before new hardware. If pallet damage is frequent because unit loads are unstable, packaging and pallet design may need attention before faster transport equipment is added.
Frequently asked questions
What is the difference between MHS and MHE?
MHE usually means material handling equipment, such as conveyors, forklifts, cranes, racks, hoists or robots. MHS means the broader material handling system that coordinates equipment, layout, software, people, procedures and safety controls. MHE is part of an MHS, but equipment alone does not create a complete system.
When should a facility automate material handling?
Automation is worth evaluating when a process has repeatable flow, measurable volume, high travel time, ergonomic risk, quality loss, labor constraints or space pressure. It should not be approved only because the technology is new. The business case should connect automation to a defined operational constraint and include maintenance, software, training and exception handling.
What data is needed before designing material handling systems MHS?
Useful data includes SKU or part profiles, dimensions, weights, packaging, order history, peak demand, travel paths, labor time, damage rates, inventory accuracy, downtime, storage density and future volume assumptions. If this information is incomplete, the design should include validation steps before major capital decisions.
How does MHS design affect safety?
MHS design affects vehicle routes, pedestrian crossings, lift heights, reach distances, machine guarding, maintenance access, visibility and emergency response. Safer systems reduce unnecessary handling, separate people from moving equipment where possible, control stored energy and make normal work easier than unsafe workarounds.
Is one material handling system suitable for every industry?
No. Food, chemicals, automotive, electronics, metalworking, pharmaceuticals, e-commerce and bulk processing all have different load, hygiene, traceability, hazard and throughput requirements. The right MHS reflects the material, the process, the building and the operating strategy.
