Most inflight catering facilities are planned with the best intentions and end up 20 to 30 percent larger than operational requirements justify. Not because planners make mistakes — but because the standard methods used to calculate facility size are structurally biased toward overestimation. Understanding this bias, and how to correct for it, is the single most valuable input any planning team can bring to an inflight catering facility project.
The consequence of overbuilding is not just higher capital cost. An oversized facility costs more to operate every year of its life — in heating, cooling, cleaning, maintenance and staffing. It also performs less efficiently: production flows are longer, supervision is harder, and the discipline of tight, well-organised production gives way to the entropy of excess space.
Sizing is only one half of the question. The other half is separation, because hygiene zoning decides where walls, airlocks and routes have to sit before any area is allocated.
In our project experience, applying production flow modelling consistently identifies opportunities to reduce planned facility footprint by 15 to 30 percent compared to benchmark-sized designs — without any reduction in operational output or flexibility. Given the significant range in construction costs across different markets and facility specifications, the absolute saving varies considerably from project to project — but at the scale at which inflight catering facilities are built, the reduction in floor area translates directly into material capital cost savings and lower operating costs across the life of the asset.
Why Standard Sizing Methods Overestimate
The conventional approach to sizing an inflight catering facility starts with a peak meal count and applies a space-per-meal benchmark. The problem is not the approach itself but the inputs — industry benchmarks are averages that consistently overshoot for several compounding reasons:
Peak load assumptions overstate simultaneous demand. Facilities are designed to their theoretical maximum. In practice, production is inherently staggered — departure schedules drive production in waves, and the theoretical peak may occur for a few hours per week, or never.
Service class mix is assumed, not modelled. Business and first class production requires substantially more space per unit than economy. Generic benchmarks average across this mix, systematically overstating area requirements in many markets.
Production flows are treated as linear. Different categories — hot meals, cold trays, special dietary meals — follow distinct paths with different dwell times and sequences. Modelling these separately produces more accurate aggregate area requirements.
Contingency is applied on top of already-conservative baselines. A 20 percent growth margin applied to a conservative meal count, with further operational contingency, compounds into a facility substantially larger than any realistic scenario requires.
Production Flow Modelling: The Alternative
Production flow modelling replaces benchmark multiplication with analysis of the specific facility's actual operational parameters:
Flight schedule as the primary input. The analysis begins with the actual or projected flight schedule — departure times, airline mix, aircraft types, service class distribution. This produces a realistic production demand curve across the operating day.
Category-by-category flow analysis. Each meal category is traced through its specific production path: preparation, cooking, chilling, portioning, assembly, trolley loading and dispatch. Space requirements emerge from the flow, not from a per-meal multiplier.
Realistic peak load calculation. The model calculates the highest concurrent demand across all production lines, accounting for the staggered nature of actual departure schedules and operational rhythm.
Growth capacity as a design principle, not a built-in margin. Future capacity is addressed through structural design provisions — floor loading for future equipment, utility distribution for additional lines, column spacing compatible with automation. This costs a fraction of building growth space in advance.
Inflight catering facilities are built at significant scale — and construction costs vary considerably across markets and specifications. In our project experience, production flow-based sizing consistently identifies 15–30% area reduction opportunities. The capital cost implication is material in every project where this analysis has been applied.
What Correct Facility Sizing Achieves
The financial impact is the most visible outcome. Construction cost in inflight catering facility projects tracks closely with floor area — structure, enclosure, mechanical and electrical services all scale with building size. A 20 percent area reduction typically translates to a 15 to 25 percent total construction cost reduction.
The operational impact is equally significant. A facility correctly matched to its production flow is more efficient: shorter travel distances, cleaner hygiene separation, better line-of-sight supervision, and a production environment where tight operation is designed in rather than competed against by excess space.
For investors and airport authorities, correct facility sizing produces a more defensible financial model — materially more credible than one built on benchmark estimates and more useful to lenders, partners and regulators.
When Facility Sizing Analysis Is Most Valuable
Greenfield Developments
The full financial value of correct sizing is captured in new builds, where the methodology shapes the design brief before capital commitment.
Capacity Expansion Decisions
Sizing analysis frequently identifies that the perceived constraint is not a space problem but a bottleneck that can be resolved through process or equipment changes.
Investor & Feasibility Assessment
A flow-modelled facility requirement is materially more credible than benchmark estimates — and more useful to lenders, partners and regulators.
Brief Validation
An independent sizing review frequently identifies significant area reduction opportunities before design work begins — a low-cost intervention with high-value outcomes.
DSC-Consult's Approach to Facility Planning
DSC-Consult has developed its facility sizing methodology through planning engagements for major inflight catering operators across Europe, the Middle East and Asia. Our approach integrates three elements that conventional benchmark-based sizing omits:
Operational data calibration. We work from actual production records — real meal counts, production timing, dispatch logs — to calibrate the model against demonstrated performance rather than theoretical projections.
3D production flow modelling. Using BIM 360 and 3D facility modelling tools, we model specific production flows to identify where space requirements are driven by genuine operational needs and where they are the product of conservative assumptions.
Structured brief development. Every area allocation is traceable to a specific operational requirement. The relationship between design decisions and operational performance is explicit — which means it can be challenged, refined and defended.
To discuss facility sizing for your inflight catering project:
Contact DSC-ConsultFrequently Asked Questions
Why are inflight catering facilities consistently oversized?
The primary cause is the use of industry benchmark multipliers — space-per-meal estimates derived from averaging across many different facility types — as the basis for sizing. These averages overstate requirements for many specific situations, and the problem is compounded by conservative peak load assumptions and stacked contingency margins. Each individual overestimate is modest; combined, they produce a facility 20 to 30 percent larger than operational analysis would indicate.
How does production flow modelling differ from benchmark sizing?
Benchmark sizing applies a space-per-meal multiplier to a projected peak output. Production flow modelling traces each meal category through its specific production path — preparation, cooking, chilling, assembly, dispatch — and calculates area requirements from the actual dwell times, equipment footprints and flow sequences involved. The result is a facility brief in which every area allocation has a direct operational justification.
Can production flow modelling be applied to an existing facility?
Yes. Applied to an existing operation, flow modelling identifies where space is being used inefficiently — stages with excess dwell time, flows that cross unnecessarily, areas that have accumulated non-productive use. It also identifies whether a perceived capacity constraint is genuinely a space problem or a flow problem that can be resolved without expansion.
How much can correct facility sizing reduce construction costs?
In our project experience, production flow-based sizing consistently identifies 15 to 30 percent area reduction opportunities compared to benchmark-derived designs. Given the significant range in construction costs across different markets, facility types and specification levels, the absolute saving varies considerably — but at the scale at which inflight catering facilities are built, the impact is material in every project where this analysis has been applied.
What information is needed to conduct a facility sizing analysis?
The core inputs are the flight schedule to be served, the service specification for each airline customer (meal categories, class distribution, special meal volumes), equipment specifications for primary production processes, and the operating model (shift structure, maintenance windows, staffing approach).
How does facility sizing relate to automation planning?
Correct facility sizing and automation planning are closely connected. The production flow model that drives the space calculation is the same model that informs automation feasibility — identifying which stages have the volume, consistency and physical characteristics that justify automation investment.
