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MRP

MRP

$495.00
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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.
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