What does the MRP course cover?
MRP is covered here in 10 modules: Foundations of Material Requirements Planning in Complex Supply Chains, Demand Management and Forecast Integration, Master Production Scheduling and Time Phasing and 7 more. The outline lists 80 specific topics, opening with evaluate when to deploy MRP versus alternative planning methodologies (e.g., JIT, demand-driven MRP) based on product lifecycle, demand volatility, and supply chain structure.
How do you approach MRP step by step?
The work is sequenced in 10 stages. It starts with Foundations of Material Requirements Planning in Complex Supply Chains, moves through Demand Management and Forecast Integration and Master Production Scheduling and Time Phasing, and ends at Strategic Alignment and Digital Transformation. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the MRP course?
Module 1 is Foundations of Material Requirements Planning in Complex Supply Chains. It works through evaluate when to deploy MRP versus alternative planning methodologies (e.g., JIT, demand-driven MRP) based on product lifecycle, demand volatility, and supply chain structure., map multi-tiered bill-of-materials (BOM) structures to production workflows, identifying critical path dependencies and single points of failure., diagnose root causes of MRP system inaccuracies.
How is the MRP course delivered?
The MRP course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the MRP course cost?
The MRP course is $495 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
More answers: what you get with every course, refund policy, all help answers.
This curriculum reflects the scope typically addressed across a full consulting engagement or multi-phase internal transformation initiative.
Module 1: Foundations of Material Requirements Planning in Complex Supply Chains
- Evaluate when to deploy MRP versus alternative planning methodologies (e.g., JIT, demand-driven MRP) based on product lifecycle, demand volatility, and supply chain structure.
- Map multi-tiered bill-of-materials (BOM) structures to production workflows, identifying critical path dependencies and single points of failure.
- Diagnose root causes of MRP system inaccuracies due to BOM errors, phantom items, or incorrect lead time assumptions.
- Assess the impact of product modularity and configurability on MRP data integrity and explosion logic.
- Integrate engineering change orders (ECOs) into MRP cycles without disrupting production schedules or creating inventory obsolescence.
- Define tolerance thresholds for MRP-generated recommendations to trigger manual review based on risk exposure and cost implications.
- Align MRP planning horizons with financial forecasting cycles to support capital and capacity planning decisions.
- Establish data governance protocols for master data (items, routings, lead times) to ensure MRP reliability.
Module 2: Demand Management and Forecast Integration
- Integrate statistical forecasts with sales consensus and customer commitments into MRP netting logic, accounting for forecast bias and confidence intervals.
- Design safety stock models that respond dynamically to forecast error, supplier reliability, and service level targets.
- Implement demand time fencing strategies that balance schedule stability with responsiveness to market changes.
- Quantify the cost of forecast inaccuracy on inventory carrying costs, stockouts, and production changeovers.
- Configure forecast consumption rules to prevent double-booking of supply in make-to-stock and make-to-order environments.
- Coordinate cross-functional forecast reconciliation between sales, marketing, and operations to reduce demand distortion.
- Model the impact of promotional spikes and new product introductions on MRP system behavior and inventory profiles.
- Apply probabilistic forecasting techniques to MRP inputs in highly volatile markets.
Module 3: Master Production Scheduling and Time Phasing
- Construct realistic master production schedules (MPS) that respect finite capacity constraints and critical resource bottlenecks.
- Optimize time fence configurations to minimize schedule nervousness while maintaining agility.
- Conduct what-if analysis on MPS changes to evaluate ripple effects across component availability and supplier commitments.
- Reconcile MPS outputs with available-to-promise (ATP) logic to support customer order promising.
- Balance level-loading and chase strategies in MPS based on labor flexibility, overtime costs, and changeover penalties.
- Integrate new product ramp-up timelines into MPS without destabilizing existing product flows.
- Validate MPS feasibility through rough-cut capacity planning (RCCP) with real-time resource data.
- Manage MPS ownership and approval workflows across production, sales, and finance stakeholders.
Module 4: Inventory and Lot-Sizing Optimization
- Select lot-sizing rules (e.g., EOQ, POQ, lot-for-lot) based on setup costs, holding costs, and supply batch constraints.
- Adjust reorder points and safety stock levels dynamically in response to supplier performance trends and demand variability.
- Identify and eliminate excess, obsolete, or slow-moving inventory flagged by MRP exception reports.
- Model the total cost of ownership for consigned, vendor-managed, and owned inventory in MRP parameters.
- Implement cycle counting and inventory adjustment protocols that maintain MRP data accuracy.
- Design inventory segmentation strategies (ABC/XYZ) that inform MRP priority settings and review frequency.
- Evaluate the trade-offs between centralized and decentralized inventory positioning in multi-site MRP environments.
- Assess the impact of minimum order quantities (MOQs) and supplier packaging on lot size and carrying costs.
Module 5: Capacity Planning and Finite Scheduling
- Integrate finite capacity constraints into MRP outputs to prevent overloading of critical work centers.
- Compare infinite vs. finite scheduling approaches in MRP systems and determine operational suitability.
- Model labor availability, shift patterns, and maintenance downtime in capacity requirements planning (CRP).
- Resolve capacity bottlenecks by rescheduling, outsourcing, or expediting, with cost and risk implications.
- Link MRP-generated work orders to shop floor control systems for real-time progress tracking.
- Simulate capacity scenarios for new product introductions or volume surges using MRP data.
- Establish escalation protocols for MRP-generated capacity overload alerts.
- Align capacity planning cycles with MRP planning cycles to ensure synchronization.
Module 6: Procurement and Supplier Integration
- Translate MRP-generated planned orders into purchase requisitions with appropriate timing and quantity adjustments.
- Negotiate supplier lead times based on MRP-driven demand profiles and volume commitments.
- Integrate supplier performance metrics (on-time delivery, quality yield) into MRP rescheduling logic.
- Manage blanket orders and release schedules in alignment with MRP time-phased requirements.
- Implement supplier collaboration portals that feed real-time supply confirmations into MRP systems.
- Assess the risk of single-source dependencies identified through MRP component sourcing analysis.
- Design dual-sourcing strategies for critical components without creating excess inventory.
- Evaluate the total landed cost impact of MRP-driven procurement decisions across freight, tariffs, and inventory.
Module 7: MRP System Configuration and Data Integrity
- Configure MRP parameters (planning time fence, order multiples, scrap factors) based on process and supplier realities.
- Establish audit routines to detect and correct master data drift in items, routings, and lead times.
- Design MRP regeneration strategies (full vs. net change) based on system load and change frequency.
- Implement change control processes for MRP system parameter updates to prevent unintended consequences.
- Map MRP data flows between ERP, PLM, and supply chain execution systems to ensure consistency.
- Validate MRP system outputs against physical inventory and production records to detect systemic errors.
- Define exception message priorities and assign ownership for resolution based on business impact.
- Assess the scalability of MRP system performance under increasing product and transaction complexity.
Module 8: Performance Measurement and Continuous Improvement
- Define and track key MRP performance indicators (e.g., planning accuracy, schedule adherence, inventory turns).
- Conduct root cause analysis on recurring MRP exception messages to identify process or data failures.
- Implement closed-loop feedback from shop floor and procurement outcomes to refine MRP parameters.
- Benchmark MRP effectiveness against industry standards for order fulfillment and inventory efficiency.
- Lead cross-functional improvement initiatives to reduce lead times and improve forecast accuracy feeding MRP.
- Evaluate the return on investment for MRP system upgrades or advanced planning and scheduling (APS) integration.
- Design management review cadences for MRP performance with actionable escalation paths.
- Assess the impact of organizational silos on MRP effectiveness and recommend structural or process interventions.
Module 9: Risk Management and Resilience in MRP Operations
- Model supply chain disruption scenarios (supplier failure, port delays) in MRP simulations to assess vulnerability.
- Develop contingency sourcing and expediting protocols triggered by MRP exception alerts.
- Integrate risk-adjusted lead times into MRP calculations for high-impact, low-reliability components.
- Balance resilience (safety stock, dual sourcing) against efficiency (lean inventory) in MRP parameter settings.
- Establish early warning indicators in MRP systems for emerging demand or supply anomalies.
- Conduct stress testing of MRP-generated plans under extreme but plausible market conditions.
- Evaluate the cost of risk mitigation strategies recommended by MRP sensitivity analysis.
- Align MRP risk protocols with enterprise risk management (ERM) frameworks and insurance strategies.
Module 10: Strategic Alignment and Digital Transformation
- Align MRP planning cycles and outputs with corporate financial planning and budgeting processes.
- Evaluate the strategic implications of MRP accuracy on customer service levels and market responsiveness.
- Assess the readiness for advanced planning systems (APS) or AI-driven forecasting integration with core MRP.
- Lead digital transformation initiatives that connect MRP with IoT, MES, and supply chain visibility platforms.
- Design MRP operating models for mergers, acquisitions, or multi-ERP environments.
- Develop talent and governance structures to sustain MRP excellence across global operations.
- Quantify the strategic value of MRP optimization in terms of working capital reduction and service improvement.
- Position MRP as a core component of integrated business planning (IBP) and S&OP maturity.