Quick Summary

Bronson designed and built a discrete event simulation model for the front office operations of a global travel services provider, one of the world’s largest operators of outsourced travel booking and visa service centres.

The simulation supported the client’s delivery of a $1B, 6-year outsourcing contract to operate customer-facing service centres on behalf of a national travel and immigration program.

The model covered four distinct service request types, incorporating fixed, standard, and exponential process time distributions to reflect real-world variability in applicant flow and service complexity.

The model covered four distinct service request types, incorporating fixed, standard, and exponential process time distributions to reflect real-world variability in customer flow and service complexity.

Outputs included service level compliance rates, bottleneck identification, resource utilisation, daily throughput, overtime requirements, wait zone sizing, and required service booth counts.

Project Overview

The client is a global provider of outsourced travel booking and visa services, operating a network of customer-facing centres across multiple countries on behalf of national travel authorities and immigration programs. The company was engaged under a large, multi-year outsourcing contract to manage the front office operations of a national program, a mandate encompassing the physical intake of travel bookings and visa applications, customer identity verification, document handling, biometric collection, and the return of passports and travel documents to applicants.

Operating at that scale, with service level commitments built into a major long-term contract, the client required a rigorous, quantitative basis for understanding how its centres would perform under real-world demand conditions. Decisions about staffing levels, booth configurations, wait zone sizing, and scheduling needed to be grounded in data, not experience-based estimation, and the model needed to be robust enough to evaluate a range of operational scenarios before centres went live.

Bronson was engaged to design and build the simulation models using Simul8 Professional, a best-in-class discrete event simulation engine, producing a structured analytical tool that the client could use both to configure individual centres and to support its contractual service delivery commitments.

The Challenge

Building a credible simulation of travel booking and visa services centre operations required resolving a set of interconnected technical and operational design challenges.

  • Process variability at scale: Travel booking and visa application processing is not a uniform activity. Customers arrive in variable volumes, require different service types, spend different amounts of time at each stage, and generate different downstream workloads depending on their request type. A model that ignored this variability would produce outputs of limited operational value.
  • Multiple service request types: The model needed to represent four distinct customer request types, broadly covering new travel bookings, visa applications, and document returns, each with different processing requirements, service times, and routing paths through the centre.
  • Facility configuration decisions: The outputs of the simulation needed to inform physical design decisions, including how many service booths to provide, how much wait zone space to allocate, and where bottlenecks would form under peak demand. These are not easily reversible decisions once a centre is operational.
  • Staffing and scheduling optimisation: Resource utilisation rates, overtime requirements, and daily throughput targets all needed to emerge from the model as calibrated outputs rather than fixed assumptions, so that the client could make staffing decisions that balanced cost efficiency with service level compliance.
  • Replicability across locations: The contract covered multiple global locations, each with its own demand profile and physical layout. The model architecture needed to support location-specific calibration without requiring a full rebuild for each site.
  • Contractual service level defensibility: With service level commitments embedded in a $1B contract, the client needed outputs that could withstand scrutiny from both internal operations teams and external contract counterparties.

The client needed a simulation rigorous enough to serve as the operational planning foundation for an entire global network of travel and visa service centres.

Our Solution

Bronson designed and built the simulation in Simul8 Professional, structuring the model to capture the end-to-end front office workflow with the fidelity required to produce actionable operational outputs.

1. Process Architecture and Service Type Modelling

Bronson mapped the full front office workflow for a travel booking and visa services centre, establishing the process stages, routing logic, and service time distributions for each of the four customer request types. Process times were modelled using fixed, standard, and exponential distributions to reflect the actual statistical behaviour of service durations, ensuring that the model produced realistic variability in outputs rather than averaged estimates.

2. Demand Model Development

Bronson constructed demand models representing the daily volume and mix of customer requests, calibrated to the expected intake profiles of the centres under the outsourcing contract. The demand model fed directly into the simulation engine, allowing throughput and service level outputs to be assessed against realistic arrival patterns including morning peaks, mid-day troughs, and end-of-day compression effects.

3. Resource and Facility Configuration Modelling

The simulation was structured to treat staffing levels, booth counts, and wait zone capacities as variable inputs rather than fixed parameters, enabling the client to run scenario analyses across different configuration options. Outputs for each configuration included average and peak resource utilisation rates, average wait times by service type, service level compliance percentages, required overtime by role, and wait zone occupancy levels at peak.

4. Bottleneck Identification and Throughput Analysis

Bronson used the simulation outputs to identify where process bottlenecks formed under different demand and staffing scenarios, providing the client with a clear view of which stages constrained daily throughput and what configuration changes would most effectively relieve those constraints.

5. Repeatable Location Template

The model was built as a configurable template rather than a one-off analysis, allowing the demand parameters, facility dimensions, and staffing inputs to be updated for each global centre location without rebuilding the underlying simulation logic. This structure ensured that the investment in the initial build could be extended across the full network of centres covered by the outsourcing contract.

Key Deliverables

  • Simul8 Simulation Model – A fully built discrete event simulation of travel booking and visa services centre front office operations, covering four service request types with realistic process time distributions and full routing logic.
  • Demand Model – A calibrated customer arrival and request-mix model reflecting the volume and composition of daily intake under the outsourcing contract.
  • Service Level and Throughput Analysis – Structured outputs covering service level compliance rates, average daily throughput, peak and average wait times by service type, and the staffing and booth configurations required to meet contract service level commitments.
  • Resource Utilisation and Overtime Report – An analysis of staff utilisation rates and required overtime under each modelled configuration, providing the client with the data needed to optimise shift structure and headcount planning.

The Impact

Bronson’s simulation gave the client a rigorous, evidence-based foundation for the operational and physical design decisions that would determine whether the centres could meet their contractual service level commitments from day one.

  • Service level compliance rates, throughput volumes, and resource utilisation figures were derived from a calibrated simulation of actual process behaviour rather than estimated from experience or analogous benchmarks.
  • Configuration decisions about booth counts, wait zone sizing, and staffing levels were grounded in quantitative scenario analysis, reducing the risk of under-provisioning or over-staffing at centres that were difficult to reconfigure once operational.
  • The bottleneck analysis identified the specific process stages where demand compression created service level risk, allowing the client to address those constraints in facility and workflow design before centres opened.
  • The replicable template structure extended the value of the model across the full network of locations, ensuring that each site could be analysed with the same rigour as the initial centre without requiring a full rebuild.

For a company operating at the intersection of high-volume public-facing service delivery and long-term contractual obligation, the ability to model operational performance before committing to physical configurations and staffing structures represented a material reduction in delivery risk. Bronson’s simulation work gave the client the analytical confidence to enter operations knowing that the service level commitments built into a major outsourcing contract were achievable under the configurations they had designed.

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