Challenge

Maintenance Planning

Engineer in orange protective clothing and white helmet inspecting industrial equipment on an offshore platform.

The challenge

Keeping complex assets running safely and efficiently depends on well-planned maintenance. Yet planners often face hundreds of work orders competing for limited crews, equipment access, and logistics windows, while also dealing with backlogs and shifting priorities.

Challenge

Maintenance Planning

The challenge

Challenge

Maintenance Planning

The challenge

Why it's complex

Resource constraints

Specialised crews or logistics resources are limited and must be shared across operations.

Dynamic conditions

Unexpected breakdowns, safety stops, or weather interruptions continually reshape the plan.

Manual, reactive workflows

Traditional methods rely on spreadsheets and daily meetings, making it hard to see trade-offs or catch up on backlog.

Why it's complex

Resource constraints

Specialised crews or logistics resources are limited and must be shared across operations.

Dynamic conditions

Unexpected breakdowns, safety stops, or weather interruptions continually reshape the plan.

Manual, reactive workflows

Traditional methods rely on spreadsheets and daily meetings, making it hard to see trade-offs or catch up on backlog.

Why it's complex

Resource constraints

Specialised crews or logistics resources are limited and must be shared across operations.

Dynamic conditions

Unexpected breakdowns, safety stops, or weather interruptions continually reshape the plan.

Manual, reactive workflows

Traditional methods rely on spreadsheets and daily meetings, making it hard to see trade-offs or catch up on backlog.

Engineer in red protective clothing and hard hat inspecting pressure gauges and valve systems at an industrial facility.

How WhiteSpace helps

WhiteSpace applies AI-assisted scheduling and optimisation to transform maintenance planning from reactive to strategic. Our tools evaluate hundreds of thousands of schedules in minutes, optimising task sequencing, batching, and crew utilisation while respecting operational stops, safety rules, and resource constraints.

In refinery and offshore use cases, this approach has raised crew utilisation by 20–30%, cut planning time from days to hours, and reduced backlog risk, giving operators the confidence to keep critical assets safe, reliable, and cost-efficient.

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