Algorithm development
AI & DX
A custom algorithm that optimises kitchen equipment maintenance scheduling
We organise and standardise inspection knowledge scattered across spreadsheets, and design a custom algorithm where AI decides each inspector's schedule and checklist.
Issues
The challenge
01
Inspection knowledge scattered and unstructured
Maintenance and inspection knowledge had accumulated in spreadsheets, but with no templates the formats and contents varied. Past inspection records, per-equipment maintenance rules, site conditions, and inspector skill and availability cannot be fed to an algorithm as they stand.
02
Inspection planning that rests on individuals
Schedules and checklists are decided by individual judgement. The work calls for optimisation: efficient staffing, lower travel cost, no missed inspections, and less exposure to emergency call-outs.
Expected Output
Expected outcomes
A foundation for algorithm design, built by organising and standardising existing data
A custom algorithm weighing equipment, frequency, checklist, skill, location and priority
AI deciding each inspector's schedule and checklist automatically
More efficient maintenance: less person-dependence, standard quality, optimised cost, fewer equipment failures
