Paul R Salmon FCILT, FSCM
In modern Defence logistics, enormous attention is placed on inventory levels, forecasting accuracy, supplier resilience, operational availability, and platform readiness. Yet one of the most overlooked foundations of effective military supply chains remains something surprisingly basic:
Knowing the true physical characteristics of the items being managed.
Not simply their NATO Stock Number (NSN), description, or unit price — but their actual:
- Dimensions
- Cubic volume
- Weight
- Packaging profile
- Stackability
- Hazardous classification
- Handling requirements
- Load orientation constraints
- Environmental conditions
- Palletisation configuration
This is known as item volumetric data, and without it a modern Defence force is effectively trying to engineer and optimise a supply chain while blind to the physical realities of the material it is moving.
That may sound dramatic, but the reality is stark.
Without accurate volumetric data Defence cannot fully:
- capacity plan its supply chain,
- model operational outload,
- optimise transport,
- engineer warehousing,
- reduce omissions,
- enable automation,
- improve sustainability,
- or effectively fight in contested logistics environments.
In short, volumetric data is not administrative detail.
It is foundational operational intelligence.
The Difference Between Inventory Management and Supply Chain Engineering
Historically many Defence organisations evolved around inventory ownership rather than true supply chain engineering.
The emphasis was often:
- stock accounting,
- codification,
- procurement,
- ownership,
- and financial control.
But modern supply chains operate differently.
Modern logistics is increasingly about:
- flow optimisation,
- network engineering,
- throughput management,
- deployment speed,
- automation,
- modelling,
- resilience,
- and data-driven decision-making.
That transition changes the importance of data dramatically.
A supply chain cannot be properly optimised if the organisation does not understand the physical characteristics of the material moving through it.
A system may know:
- what an item is,
- where it is,
- how much it costs,
- and how many exist.
But if it does not know:
- how large it is,
- how heavy it is,
- how it is packaged,
- or how it physically behaves in the supply chain,
then major parts of logistics planning become assumption-based rather than evidence-led.
In many ways, Defence has historically become very good at managing inventory records, but not always equally good at engineering material flow.
That distinction matters enormously.
Because modern operational advantage increasingly depends not simply on owning inventory — but on the ability to:
- move it,
- store it,
- deploy it,
- sustain it,
- repair it,
- and reconfigure it rapidly under pressure.
And all of that depends on understanding physical characteristics.
Capacity Planning Starts With Cube, Not Item Count
One of the most common mistakes in Defence logistics is thinking in terms of item quantity rather than physical footprint.
Ten thousand items may occupy:
- one shelf,
- ten pallets,
- an ISO container,
- or an entire warehouse.
Without volumetric understanding, infrastructure planning becomes deeply flawed.
Modern capacity planning requires Defence to understand:
- storage cube,
- throughput rates,
- rack utilisation,
- storage media suitability,
- aisle requirements,
- handling equipment needs,
- and future growth profiles.
Without accurate volumetrics organisations often experience:
- warehouse overcrowding,
- poor utilisation,
- inefficient layouts,
- unexpected storage shortfalls,
- and excessive infrastructure costs.
This problem becomes particularly severe when attempting to support surge operations or warfighting stock levels.
Defence may know it requires:
- 30 days of stock,
- 90 days of stock,
- or strategic reserve holdings.
But unless it understands the true physical footprint of those holdings, it cannot accurately determine:
- where those stocks will sit,
- how they will be handled,
- or how quickly they can be moved.
In many organisations, warehousing historically evolved organically around available space rather than engineered flow.
Volumetric data enables the transition from “storage” to actual supply chain engineering.
It also enables Defence to begin asking far more sophisticated questions such as:
- Which items consume disproportionate storage burden?
- Which holdings create infrastructure bottlenecks?
- What inventory is operationally critical versus physically inefficient?
- How much surge capacity genuinely exists?
- Which locations become constrained first during mobilisation?
Without volumetric visibility, many of these answers remain assumption-driven.
Operational Outload Modelling Depends on Volumetric Accuracy
Military logistics is ultimately about operational effect.
The ability to:
- deploy,
- sustain,
- manoeuvre,
- and recover capability at speed.
This is where poor volumetric data becomes a major operational issue.
Operational outload modelling relies heavily on understanding:
- cubic volume,
- dimensional weight,
- pallet configurations,
- vehicle loading,
- aircraft constraints,
- ship utilisation,
- and handling limitations.
Without accurate data Defence cannot reliably answer critical operational questions such as:
- How many sorties are required?
- How many trucks are needed?
- What is the actual sustainment footprint?
- What creates the bottleneck?
- How quickly can the force deploy?
- What infrastructure is required at the receiving end?
Instead, planning often defaults to conservative assumptions.
The consequence is predictable:
- under-utilised lift,
- excessive transport allocation,
- slower deployment timelines,
- and increased operational risk.
In contested logistics environments this becomes even more dangerous.
Every unnecessary:
- truck movement,
- convoy,
- aircraft sortie,
- or ship movement
creates additional:
- cost,
- maintenance burden,
- fuel demand,
- and operational exposure.
Logistics inefficiency is not merely financial waste.
It directly impacts survivability.
A Submarine Example: When Capacity Constraints Directly Affect Availability
One of the clearest examples of the importance of volumetric data can be seen within submarine sustainment and operational support.
Unlike conventional warehousing or commercial distribution, submarine logistics operates within one of the most capacity-constrained environments in Defence.
Every cubic metre matters.
Submarines have:
- extremely limited onboard storage,
- highly constrained loading routes,
- strict weight and balance considerations,
- specialist packaging requirements,
- and carefully engineered internal layouts.
In this environment, poor volumetric data becomes far more than an efficiency issue — it can directly impact platform availability and operational readiness.
For example, if Defence does not accurately understand:
- the true packed dimensions of spares,
- maintenance kits,
- repair assemblies,
- hazardous material packaging,
- or consumable storage footprints,
then it becomes significantly harder to:
- optimise onboard stowage,
- engineer replenishment plans,
- prioritise critical inventory,
- or maximise operational endurance at sea.
The consequence is often one of two outcomes.
Either:
- the submarine carries excessive inventory “just in case,” reducing available capacity for other mission-critical stores,
or:
- insufficient sustainment material is embarked, increasing the risk of operational constraints, delayed repairs, or early return-to-port requirements.
Neither outcome is operationally desirable.
The challenge extends beyond the platform itself.
Submarine support infrastructure ashore also depends heavily on volumetric understanding to optimise:
- dockside staging,
- maintenance planning,
- transport sequencing,
- specialist lifting,
- warehousing,
- and constrained facility management.
A submarine undergoing maintenance may involve:
- thousands of line items,
- highly specialised components,
- controlled environments,
- and tightly sequenced repair activities.
Without accurate volumetric data, planners struggle to properly model:
- material flow,
- storage density,
- work package staging,
- and transport utilisation.
This creates:
- congestion,
- inefficient handling,
- increased movement,
- delays,
- and reduced maintenance efficiency.
Ultimately, submarine availability is heavily influenced by the effectiveness of the supporting logistics system.
And that logistics system depends fundamentally on understanding the physical characteristics of the inventory it manages.
In a capacity-constrained environment such as submarine operations, volumetric ignorance can quietly become a strategic readiness issue.
Because when operational capacity is finite, every inefficiency consumes readiness.
Transport Optimisation Is Impossible Without Physical Data
Transport networks are fundamentally physical systems.
Their optimisation depends on understanding:
- cube,
- weight,
- stackability,
- orientation,
- fragility,
- and packaging design.
Without volumetric data transport planners cannot fully optimise:
- container fill rates,
- pallet builds,
- vehicle utilisation,
- route efficiency,
- or multi-modal movements.
This creates a common issue within logistics:
vehicles “cube out” before they “weigh out.”
In other words, the available physical space is exhausted long before the weight limit is reached.
The result:
- partially empty containers,
- wasted air freight space,
- inefficient convoy utilisation,
- increased fuel consumption,
- and higher transport costs.
In commercial supply chains these inefficiencies reduce profit.
In Defence they reduce operational agility.
The future operating environment increasingly demands:
- smaller logistics footprints,
- dispersed sustainment,
- agile reconfiguration,
- and resilient flow under disruption.
Without volumetric precision Defence struggles to achieve any of these at scale.
Warehousing Cannot Be Properly Engineered
Modern warehousing is no longer simply about placing stock on shelves.
It is an increasingly engineered environment focused on:
- throughput,
- ergonomics,
- automation,
- velocity,
- and optimisation.
Volumetric data underpins nearly every aspect of warehouse design.
Without it organisations cannot effectively optimise:
- slotting strategies,
- rack configuration,
- pick-face sizing,
- automation systems,
- robotics,
- autonomous storage and retrieval systems (ASRS),
- mezzanine design,
- forklift strategies,
- or storage density.
This leads to:
- wasted space,
- excessive operator travel,
- increased labour costs,
- slower picking,
- and higher omission rates.
In many Defence environments warehouse layouts often evolve around legacy infrastructure rather than engineered material flow.
As Defence seeks to modernise its logistics infrastructure, volumetric data becomes increasingly critical.
It is almost impossible to design truly optimised logistics hubs without understanding the physical behaviour of the inventory itself.
Poor Volumetric Data Drives Picking Errors and Omissions
One of the less discussed consequences of poor master data is its impact on inventory accuracy and operational execution.
Without accurate dimensions and packaging data:
- pick-faces become poorly configured,
- operators struggle with visual identification,
- substitute items become harder to distinguish,
- and handling inconsistencies increase.
This contributes directly to:
- omissions,
- mis-picks,
- repacking,
- delays,
- and inventory damage.
In operational environments these errors can have disproportionate consequences.
A missing component may:
- delay equipment repair,
- prevent deployment,
- ground a platform,
- or reduce operational availability.
Volumetric standardisation also supports:
- barcode validation,
- machine vision,
- automated scanning,
- robotic handling,
- and intelligent picking systems.
As Defence increasingly explores automation and AI-enabled logistics, the quality of foundational master data becomes even more important.
Automation and AI Depend on Structured Physical Data
Defence organisations increasingly discuss:
- AI,
- digital twins,
- predictive logistics,
- and autonomous supply chains.
But advanced technologies cannot compensate for poor foundational data.
Artificial intelligence systems rely on:
- structured,
- trusted,
- and standardised inputs.
Without volumetric data organisations struggle to fully deploy:
- warehouse robotics,
- automated loading systems,
- optimisation engines,
- digital twins,
- autonomous transport planning,
- and advanced modelling tools.
This is particularly important in Defence where modelling and simulation increasingly support:
- operational planning,
- sustainment analysis,
- force design,
- and readiness forecasting.
Poor data quality constrains the effectiveness of all of them.
The principle is simple:
A digital supply chain cannot exist without digital product understanding.
Why Volumetric Data Becomes Even More Important in the Future
The importance of volumetric data will grow significantly over the next decade because future Defence logistics will become increasingly:
- contested,
- data-driven,
- automated,
- resource-constrained,
- and speed-dependent.
Historically, logistics inefficiency could often be absorbed through:
- larger stockholdings,
- excess infrastructure,
- greater manpower,
- slower operational tempos,
- and relatively uncontested supply chains.
Future warfare is unlikely to provide those luxuries.
The future operating environment will demand:
- faster deployment,
- smaller logistics footprints,
- dispersed operations,
- lower signatures,
- resilient sustainment,
- and near real-time decision-making.
That changes everything.
Future adversaries will actively target:
- ports,
- depots,
- logistics hubs,
- fuel infrastructure,
- transport corridors,
- and distribution nodes.
Large inefficient supply chains become:
- predictable,
- detectable,
- and vulnerable.
Volumetric optimisation therefore becomes a survivability issue.
Every wasted cubic metre potentially creates:
- another convoy,
- another aircraft sortie,
- another ship movement,
- another logistics signature.
Future operational advantage may increasingly belong not simply to the force with the most equipment —
but to the force able to:
- sustain,
- repair,
- reposition,
- and manoeuvre capability faster than its adversary.
That level of agility depends heavily on logistics precision.
Future Autonomous Logistics Will Depend on Trusted Data
The future Defence supply chain will increasingly rely on:
- AI optimisation,
- robotics,
- autonomous transport,
- predictive analytics,
- and digital twins.
But automation only works when the underlying data is trusted.
AI systems cannot effectively optimise:
- pallet builds,
- warehouse slotting,
- transport loading,
- or sustainment planning
without accurate understanding of:
- dimensions,
- weight,
- cube,
- packaging,
- and handling constraints.
Poor volumetric data creates poor optimisation.
This creates a widening divide between organisations with:
- engineering-grade logistics data,
and organisations still dependent on:
- assumptions,
- spreadsheets,
- manual workarounds,
- and institutional memory.
In the future, trusted supply chain data will become a strategic operational capability in its own right.
Sustainability and Carbon Reduction Depend on Utilisation
Defence increasingly faces pressure to improve:
- sustainability,
- carbon efficiency,
- and environmental reporting.
Yet transport emissions are heavily influenced by:
- utilisation rates,
- cube efficiency,
- and packaging optimisation.
Without volumetric data Defence cannot effectively optimise:
- vehicle fill,
- warehouse density,
- packaging waste,
- or transport efficiency.
This means:
- more journeys,
- lower utilisation,
- higher fuel burn,
- and increased emissions.
In the future, operational optimisation and environmental optimisation will increasingly become the same discussion.
The Bigger Strategic Problem: Data Maturity
In reality, poor volumetric data is often symptomatic of a wider issue:
low supply chain data maturity.
Many organisations still treat logistics data as:
- transactional,
- fragmented,
- inconsistent,
- or secondary.
Yet modern supply chains increasingly rely on:
- integrated data ecosystems,
- digital product passports,
- modelling environments,
- and connected planning systems.
Volumetric data is not “nice to have.”
It is core master data.
Without trusted foundational data Defence struggles to modernise effectively.
This affects:
- ERP systems,
- WMS platforms,
- TMS optimisation,
- AI tools,
- digital twins,
- and operational modelling environments.
The technology may exist.
But without trusted data the outputs remain unreliable.
The Future Defence Supply Chain Must Become Data-Engineered
The future Defence supply chain will increasingly be:
- modelled,
- simulated,
- automated,
- digitally orchestrated,
- and AI-enabled.
That future requires a shift in mindset.
Defence must move beyond:
inventory administration
towards:
supply chain engineering.
That means recognising that:
- physical data,
- material behaviour,
- and volumetric intelligence
are strategic assets.
Not administrative details.
Because ultimately volumetric data underpins nearly everything:
- deployment speed,
- operational readiness,
- warehousing,
- automation,
- transport,
- sustainment,
- resilience,
- AI,
- digital twins,
- and contested logistics.
Without it, Defence is often operating using:
- assumptions,
- approximations,
- manual workarounds,
- and inefficient safety margins.
That may be survivable during peacetime inefficiency.
It becomes far more dangerous during wartime sustainment.
For modern Defence forces seeking to improve readiness, resilience, and operational agility, the message is increasingly clear:
If you do not truly understand the physical characteristics of your inventory, you do not fully understand your supply chain.
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