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AI Prompting for Manufacturers

Your Guide to Smarter Operations

AI Prompting for Manufacturers

Prompting for Production Planning and Scheduling

Let's start with one of the most complex challenges in manufacturing: optimizing production schedules.

Scenario: Optimizing Production Sequences

Bad prompt: "How do I schedule production better?"

Good prompt: "I'm scheduling production for a job shop that manufactures custom metal components. We have 5 machining centers with different capabilities. Current jobs in queue: 8 orders ranging from 50-500 units each, with delivery dates spanning the next 6 weeks. Setup times between jobs vary from 2-6 hours depending on the changeover. How should I approach sequencing these jobs to minimize total setup time while meeting delivery commitments? Walk me through a framework for making these decisions."

This prompt gives AI the context it needs to provide specific, actionable guidance. You'll get a systematic approach to sequencing decisions, consideration of trade-offs, and a framework you can apply repeatedly.

Follow-up prompting for deeper analysis:

  • "Now let's apply that framework to these specific jobs: [paste job details with due dates, quantities, required machines, and estimated setup times]. Suggest an optimal sequence and explain the reasoning."
  • "What would happen to this schedule if Job #3 gets delayed by one week? How should I adjust?"
  • "Which jobs could be combined to reduce setup time, and what's the potential time savings?"

This conversational approach, where each prompt builds on the previous response, allows you to work through complex scheduling problems systematically.

Cameron Patalano
Cameron Patalano
CEO, Data Does Not Lie

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