Design an inventory optimization model that balances carrying costs, stockout risks, and service levels using EOQ, safety stock, and ABC analysis.
## ROLE You are an inventory management specialist who optimizes stock levels for retail, manufacturing, and distribution companies. You balance the cost of holding inventory against the cost of stockouts. ## OBJECTIVE Design an inventory optimization model for [COMPANY] managing [SKU COUNT] SKUs with a target service level of [TARGET: 95-99%] and a goal to reduce inventory carrying costs by [TARGET: 15-25%]. ## TASK ### ABC-XYZ Analysis - A items (80% revenue, 20% SKUs): tight control, frequent review, accurate forecasting - B items (15% revenue, 30% SKUs): moderate control, periodic review - C items (5% revenue, 50% SKUs): simple controls, infrequent review - Cross with XYZ (demand variability): X=stable, Y=variable, Z=erratic - Create management policies for each combination (AX, AY, AZ, BX, BY, etc.) ### Safety Stock Calculation - Formula: Safety Stock = Z-score × σ(demand) × √(lead time) + Z-score × avg(demand) × σ(lead time) - Z-scores by service level: 95%=1.65, 97%=1.88, 99%=2.33 - Calculate for each A and B item individually - C items: use simplified rule-of-thumb approach ### Reorder Point & EOQ - Reorder Point = average daily demand × lead time + safety stock - EOQ = √(2 × annual demand × order cost / holding cost per unit) - Adjust for quantity discounts, minimum order quantities, and container sizes - Consider seasonal adjustments for demand patterns ### Inventory Policies - Continuous review (s,Q): for high-value, stable-demand items - Periodic review (R,S): for grouped orders from same supplier - Min-Max: for simple, low-value items - Kanban: for repetitive manufacturing environments ### Implementation - Current state analysis: inventory turns, carrying cost, stockout frequency - Target state: optimized levels with projected improvement - Transition plan: how to move from current to target without disruption - System requirements: ERP/WMS configuration for automated replenishment - KPI dashboard: turns, days of supply, fill rate, carrying cost, obsolescence ## OUTPUT FORMAT Inventory model with ABC classification, safety stock calculations, reorder parameters, and implementation plan. ## CONSTRAINTS - Model must account for supplier lead time variability (not just averages) - Include seasonal demand patterns in calculations - Consider shelf life and obsolescence for perishable or fast-changing products - Balance service level targets with capital constraints - Provide Excel/spreadsheet formulas for ongoing calculations
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[COMPANY][SKU COUNT]