by Vinícius Rodrigues

Operations planning and analysis

Compare alternatives before changing your operations.

Turn demand, cost, inventory, and productivity data into practical insights to plan operations and compare alternatives.

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A scope tailored to you

What you receive

The proposal defines your deliverables, boundaries and acceptance criteria.

01

Demand and capacity

Compare volumes, effort, availability, and operational constraints.

02

Costs and productivity

Metrics for resources, losses, utilization, and planned versus actual results.

03

Decision scenarios

Simulations and recommendations based on available assumptions and data.

Applications to explore

Explore applications of this service

Open a project to explore its workflows, rules and decisions.

01Services · Unit profitability

Equilíbrio

Price, volume and break-even.

  • Editable assumptions
  • Baseline comparison
  • Decision sensitivity
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02Distribution · Inventory planning

Reposição

Inventory policies and required capital.

  • Editable assumptions
  • Baseline comparison
  • Decision sensitivity
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03Logistics · Dispatch planning

Expedição

Daily demand and delivery capacity.

  • Editable assumptions
  • Baseline comparison
  • Decision sensitivity
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Independent project / Operations simulator

Capacity plan

See your capacity surplus or shortfall before assigning work.

ContextTechnical servicesReference operationSmall businessFormatInteractive prototype

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The thinking behind the project

From context
to solution.

01 / The problem

Where work gets stuck.

The queue is tracked by the number of requests, without accounting for differences in effort. Work allocation does not reveal where demand exceeds available hours.

02 / The approach

How the project addresses it.

The plan translates demand into hours and compares each work area against its capacity. The simulator lets you test availability and immediately see the surplus or shortfall.

03 / Validation

What needs to be checked.

Review estimates, check totals, and make constraints explicit. Available hours in one work area cannot automatically be transferred to another.

How delivery works

Clear steps.
Shared decisions.

  1. 01

    Define the assumptions

    Understand demand, effort, and priority criteria.

  2. 02

    Assess the operation

    Organize metrics and identify deviations and bottlenecks.

  3. 03

    Evaluate alternatives

    Simulate decisions and document each scenario's limitations.

What we need to get started

The planning problem, available data and operational constraints. While BI tracks indicators, this analysis compares alternatives using explicit assumptions.

Before getting started

Common questions.

Do you also work with inventory and costs?

Yes. The analysis can cover demand, inventory, capacity, costs, and productivity, depending on the decision it needs to support.

Does a simulation predict exactly what will happen?

It compares scenarios based on assumptions. Its value lies in making those assumptions visible and reviewing the results with the operations team.

How are timing and cost determined?

After reviewing your goal, available materials and required integrations, I prepare a proposal with stages, timing and cost. Scope changes are agreed before implementation.

What happens after delivery?

Usage guidance and support terms are described in the proposal. Maintenance, enhancements and any recurring hosting, licensing or external service costs are defined for the solution.

Let's talk

Could a similar project
work for you?

Tell me how your operations work and what you would like to improve.

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