Planning optimization

Planning and scheduling has an unusual failure pattern: the mathematics works, the pilot looks convincing, and the tool is abandoned within a year.

Constraint granularity is where projects die

Almost everything written about planning is about algorithms. The decision that actually determines success is how finely constraints are modelled — too coarse and the plan is ignored, too fine and it cannot be maintained.

Optimisation against live state

An optimisation API integrated with SCADA and PLCs under real-time constraints is a different engineering problem from one that reads a nightly extract.

MLOps at the edge

Shipping a model where R&D can iterate daily, on infrastructure that is not allowed to be down.

Planners are your users

Ten planners using something in production beats a better algorithm nobody opens. Change management is engineering work, and treating it as a phase afterwards is how tools die.