Problems we solve

Planning under constraints, not a catalogue of methods.

Spacelytics helps with complex operational decisions where resources, criteria, constraints and scenarios must be considered together and standard software does not expose the full trade-off.

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DemandResourcesConstraintsScenariosDecisionDecisionmodel

Problem archetypes

Where analytical engineering creates value

01

Capacity and resource planning

Estimate required capacity, allocate people, machines, space or budget, identify bottlenecks and test what happens when demand changes.

02

Production planning and scheduling

Align demand, resources, production rules, sequencing and service objectives when standard MRP or ERP does not capture all special conditions.

03

Network, distribution and allocation

Allocate customers, warehouses, territories or capacity across a network while considering cost, service, constraints and utilisation together.

04

Scenario and CapEx planning

Compare expansion, new lines, facilities or investment options under different demand, cost and capacity assumptions.

05

Technical and investment prioritisation

Structure project or technical-option choices when the decision depends on several criteria and explicit trade-offs.

Examples of application

Where these problems often occur

Planning problems under constraints often occur in manufacturing, industrial operations, logistics and distribution - especially when decisions recur, useful data exists and standard systems leave important constraints unresolved.

Manufacturing and industrial operations

Capacity, production mix, line balancing, sequencing, machine and workforce allocation, maintenance and investment scenarios.

Logistics, distribution and 3PL

Warehouse capacity, customer-to-depot allocation, network configuration, dock and yard flows, resource and scenario planning.

When an additional model is not needed

When we are not the right fit

The problem is simple and low-stakes

If the existing spreadsheet or rule reliably solves the decision, an additional model is unnecessary.

A packaged system already covers the important constraints

If ERP, APS, WMS or TMS genuinely models the relevant constraints and produces the required decision, there is no reason to create a parallel system.

There is no material consequence

Analytical work makes sense when errors affect capacity, cost, service, time, investment or another material outcome.

Does your decision have this pattern?

Describe how the decision works today and which constraints remain outside the current system.

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