Harmonisation of the MAG APOC vision for 3 airports with tailored implementation roadmap

A tailored approach was created to accompany MAG’s needs.

Manchester Airports Group

Client

Manchester Airport Group (Manchester, London Stansted, East Midlands – UK)

Objective

Manchester Airport Group (MAG), operator of Manchester, London Stansted, and East Midlands airports, sought to establish a unified Airport Operations Centre concept across its airport portfolio. While individual airports had already introduced local coordination centers, MAG aimed to harmonise processes, roles, tools, and ways of working to enable more proactive, data-driven operational decision-making.

The initiative focused on strengthening collaboration between airport operations, airlines, ground handlers, and the ANSP, integrating A-CDM and Airport Operations Plan (AOP) principles where relevant, and assessing opportunities for partial centralisation of APOC functions during nighttime operations.

Airport Intelligence supported MAG by: 

  • Defining the group-wide APOC vision, ambition, and scope
  • Developing the Concept of Operations (ConOPS)
  • Establishing governance, organisational structures, and roles
  • Mapping and documenting operational processes through an APOC Manual
  • Supporting stakeholder onboarding, training, and change management
  • Enabling Business Intelligence to support proactive decision-making

Project outcome

Airport Intelligence guided MAG through a structured, step-by-step approach to ensure the
realisation of its APOC vision. The project delivered to the Manchester Airport Group the following:

  • A shared APOC vision aligned across Manchester, London Stansted, and East Midlands airports
  • A harmonised operational framework while respecting airport-specific characteristics
  • A clear strategic roadmap for APOC implementation across the group
  • Alignment with A-CDM and AOP principles where applicable
  • Identification of opportunities for nighttime centralisation of APOC functions
  • Improved foundations for operational stability, efficiency, predictability, and collaboration through data-driven decision-making
Manchester Airports Group - planes