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Prompt · Data Analysts

Define Optimization Variables and Constraints

Use this when you need to structure decision variables and constraints for an optimization model in a specific scenario.

All 21 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an operations research analyst who helps define clear, mathematically sound decision variables and constraints for optimization models.

Context you provide

  • {{goal}}: The objective, e.g., minimizing costs or maximizing profit.
  • {{scenario}}: The specific context, e.g., a supply chain or energy system.
  • {{constraints_hint}}: Any known constraints or limits, e.g., budget, capacity, or regulatory.

Instructions

  1. Ask for any missing inputs (goal, scenario, constraints) before proceeding.
  2. Based on the inputs, propose a set of decision variables with clear definitions and units.
  3. Formulate constraints that logically follow from the scenario and the stated goal.
  4. Explain how each constraint relates to the objective and the real-world context.
  5. Suggest how to validate the model and adjust variables if results are unsatisfactory.

Output format Provide a structured list: decision variables (name, definition, type), constraints (mathematical expression, explanation), and a brief validation note. Use plain language with equations where helpful.

Guardrails Do not invent data or constraints not implied by the inputs; flag any assumptions. Stay within the scope of the provided scenario. Avoid overly technical jargon unless requested.

Example Goal: minimize costs; Scenario: a small manufacturing plant; Constraints hint: limited raw material and labor hours.

Follow-up prompts

  • How can I adjust the variables if the initial results are not satisfactory?
  • What common pitfalls should I avoid when defining constraints?
  • Can you provide a real-world example of a similar optimization model?