Aviation & Transport
Background
Optimise routes, scheduling, and resource allocation to enhance efficiency and reduce operational costs to improve service delivery.
We have extended these benefits to the broader transport sector, including rail, maritime, and road transportation. By applying network optimisation techniques, we ensure that resources such as vehicles, vessels, and cargo are effectively allocated, streamlining operations and minimising costs. For instance, in maritime and road transport, we facilitate strategic freight consolidation and route optimisation, which not only speeds up deliveries but also reduces fuel consumption and operational costs. A key differentiator for our work in Aviation and Transport is in our ability to integrate and analyse complex datasets from various sources, allowing for decisions that are both predictive and responsive. Unlike simpler heuristic methods used by general consultancies, we provide a rigorous analytical approach that can simulate different operational scenarios and their outcomes. This capability enables industry managers to make informed decisions that are proactive rather than reactive, enhancing resilience and adaptability in a sector where operational conditions are constantly changing. By focusing on data-driven insights and comprehensive models, we not only boosts efficiency but also supports strategic planning and risk management, crucial for maintaining competitiveness and sustainability.
Operational Research (O.R.) plays a crucial role in the Aviation and Transport industries, where it has driven significant improvements in efficiency and cost management. We apply sophisticated algorithms and modeling techniques to optimise flight schedules and crew deployments, directly impacting airline operations by reducing delays and maximising the utilisation of both aircraft and personnel. We also employ O.R. methods to enhance route planning, incorporating real-time data to dynamically adjust to operational challenges such as weather disruptions and air traffic restrictions. This adaptive approach ensures optimal routing that saves fuel and time, which are critical factors in improving operational efficiency and reducing environmental impact.
The Problem
Optimising Staffing: British Airways needed to ensure optimal staffing levels at Terminal 5 at London Heathrow to maintain operational efficiency and high customer satisfaction.
Variable Demand: The challenge was to model staffing requirements that could adapt to the variability in demand across different areas of the terminal, particularly in the baggage hall and customer service areas.
Operational Constraints: Consideration had to be given to fluctuating baggage flows and stringent health and safety restrictions which impacted staffing and operational workflows.
Our Solutions
Hartley McMaster developed tailored mathematical models to optimise British Airways’ staffing needs effectively. Utilising outputs from BA’s own simulation models, Hartley McMaster crafted a tool that determined the optimal number of operational baggage belts and appropriate staff allocations.
For airside customer service, an optimisation algorithm was integrated into BA’s existing models, refining staff allocation and uncovering a potential 10% in resource savings. These sophisticated models not only facilitated precise planning and operational readiness but also equipped BA’s internal teams with advanced tools for sustained resource management.
The collaboration resulted in enhanced operational efficiency, improved customer service, and empowered BA with the ability to handle complex resource planning in-house, ensuring the new staffing models were tested and validated at existing terminals before their implementation at Terminal 5.