Maximo Optimizer

01 · Basics — Understand the building blocks

Optimizer runs optimization models and manages related jobs. IBM describes its framework for optimization data/application management and its embedded CPLEX solver.

An objective expresses what to improve. A hard constraint expresses what must hold. A completed job does not automatically mean the proposed plan meets the business expectation.

Topics in this series

• Models and jobs
• Objectives and constraints
• Input quality
• Feasible and infeasible cases
• Scenario comparison

02 · Configuration — Work through the setup

Use a training environment and match the actions to the IBM guide for your installed build.

1. Select a documented model available in your environment and record its expected inputs.
2. Define the business objective, such as minimizing late work, separately from hard constraints.
3. Prepare a small feasible dataset with known labor availability and task durations.
4. Submit a training job through the supported model workflow. Inspect status, result and constraint satisfaction.
5. Remove required resource availability and run a second case. Explain any infeasible result instead of weakening constraints silently.

03 · Practical example

Fictional teaching example

Two four-hour tasks can fit one qualified technician's eight-hour day only if travel, breaks, availability and precedence also permit it. The example deliberately adds a qualification mismatch to explain why hours alone are insufficient.

04 · Practice and verify

Run or manually work through a feasible and infeasible case. Record the inputs, job identifier, status and violated or limiting constraints.

Expected result

The proposed solution respects every declared hard constraint. The impossible case is identified and has a clear business explanation.

Common mistakes

• Equating job completion with a usable schedule.
• Changing constraints until the solver returns a result without documenting the compromise.

05 · Advanced concepts

Compare objectives, runtime limits and sensitivity to changed availability. Keep model version and input snapshot with every accepted result.

IBM references

• IBM documentation — Maximo Optimizer

Product explanations link to IBM sources. Scenarios and exercises are original Assetize guidance, not claims of executed lab procedures. Reviewed 2026-10-01.