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Generative AI for Production Planning Professionals
44 students
Generative AI for Production Planning Professionals
1000+ Prompts for Daily Decisions in Production Planning
Created byEdcorner Learning
Last updated 5/2026
English
What you'll learn
- Identify how AI bridges gaps in conventional production planning methods.
- Learn how Generative AI transforms data into production intelligence.
- Use over 1000 expert-level prompts to automate every stage of planning.
- Apply zero-shot, one-shot, and few-shot prompting for planning tasks.
- Design instructional and analytical prompts for accurate production insights.
- Create chained prompts to simulate end-to-end planning workflows.
- Implement AI-driven trend, moving average, and seasonal forecasting.
- Simulate demand surges, variability, and customer-specific scenarios.
- Adjust forecasts dynamically based on real-time market conditions.
- Track forecast accuracy and initiate automated correction loops.
- Understand MPS fundamentals and their central role in planning.
- Build weekly and monthly production schedules with AI prompts.
- Resolve schedule conflicts and overloads using AI prioritization.
- Adjust MPS dynamically using AI feedback from MES and IoT.
- Generate AI-driven BOM explosions and procurement recommendations.
- Perform shortage analysis and generate replenishment triggers with prompts.
- Simulate what-if MRP scenarios and material flow outcomes.
- Reschedule MRP operations intelligently based on delay recovery logic.
- Understand the difference between finite and infinite capacity models.
- Use AI to balance shop load across multiple production centers.
- Detect capacity bottlenecks early and plan mitigation strategies.
- Automate forward/backward capacity planning using AI tools.
- Apply dispatch rules via AI for real-time execution accuracy.
- Integrate live status updates from MES and IoT into planning decisions.
- Optimize inventory levels with AI-generated safety stock and EOQ values.
- Balance stock intelligently across multiple plant and warehouse locations.
- Factor warehouse space constraints into scheduling decisions using prompts.
- Analyze cycle count deviations and generate adjustment proposals.
- Detect risks in production plans using prompt-based risk assessments.
- Generate scenarios for machine breakdowns, supplier issues, or demand spikes.
- Create AI-driven contingency plans like line activation or load shifting.
- Design lean recovery workflows after production disruptions.
- Draft executive-level narratives explaining the production plan clearly.
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Course content
11 sections • 81 lectures • 2h 17m total length
Requirements
- A foundational understanding of production and manufacturing workflows.
Description
This course, "Generative AI for Production Planning Professionals," offers an in-depth exploration of how modern AI techniques—particularly generative AI—are revolutionizing production planning. It begins by laying strong foundations through core concepts, planning objectives, and the distinctions between strategic, tactical, and operational planning. Participants will gain insights into the evolution from traditional planning approaches to AI-augmented systems that drive precision and agility. Special emphasis is placed on the role of generative AI, including advanced prompting methods such as zero-shot, one-shot, and few-shot techniques, instructional and analytical prompts, and prompt chaining for sequential logic building.
Learners will delve into AI-enhanced forecasting techniques that include trend-based, moving average, seasonal, and dynamic demand adjustments driven by real-time market signals. The course also focuses on ensuring forecast accuracy through monitoring and correction loops. It then transitions into Master Production Scheduling (MPS), showing how AI supports weekly and monthly planning, overload resolution, and real-time adjustments via feedback loops. In material planning, topics include BOM explosion automation, shortage analysis, and AI-driven what-if simulations for rescheduling and delay recovery.
Capacity planning is comprehensively addressed, covering finite/infinite modeling, shop load balancing, bottleneck resolution, and dispatch rules. Students will also explore IoT and MES integrations for real-time insights, and inventory optimization through AI-generated safety stock, reorder point, and warehouse balancing prompts. Risk assessment, scenario simulations, and contingency plan generation form a key part of the curriculum, preparing professionals to handle uncertainty with confidence.
Finally, the course empowers learners with capabilities in narrative generation, KPI dashboard creation, audit traceability, and planning justification. With over 1000 expert prompts, the course equips participants with practical tools to apply AI across every facet of production planning, making it an essential training for forward-thinking professionals aiming to lead in Industry 4.0 environments.
Who this course is for:
- Production Planners looking to automate scheduling, MRP, and capacity tasks using AI prompts
- Operations Managers aiming to integrate AI into real-time shop floor decision-making
- Manufacturing Engineers seeking to simulate production scenarios and optimize workflows
- Supply Chain Analysts who want to align planning with inventory and procurement using AI
- Demand Planners needing AI-driven forecasting, seasonal analysis, and signal-based adjustments
- Industrial Engineers interested in prompt-based workload distribution and load balancing
- ERP Specialists and MES users wishing to extend existing systems with AI augmentation
- Quality Managers and Maintenance Heads who rely on synchronized planning inputs
- Professionals transitioning into Smart Manufacturing and Industry 4.0 roles
- Executives and Digital Transformation Leaders overseeing AI implementation in planning