Public sector & Institutions
Planning process improvement & resource optimization
A complex scheduling and resource allocation problem, solved with mathematical modelling and four weeks of intensive analytical work.
Client: Education centre
The challenge
A client running a large portfolio of programmes faced a complex scheduling and resource allocation problem: many activities, limited spaces and staff, multiple constraints and dependencies. Manual planning based on experience and ad‑hoc adjustments had become unsustainable, leading to unused capacity, overload and operational risk.
What we did
We approached the engagement as a business process optimisation task. We first mapped all constraints (capacity, availability, competencies, programme structure, dependencies) into a clear set of rules, then developed an optimisation model that respects hard constraints (no double‑booking, no capacity breaches) while improving soft criteria (balanced workloads, continuity, minimal waste). The model was documented, made adjustable and handed over with guidelines so the client’s team can use it independently.
Outcome
An operational resource allocation model was delivered and implemented, the scheduling process was systematised and made repeatable, and staff were trained to manage complexity without relying on informal knowledge or manual trial‑and‑error.