Inventory
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Conceptual Model
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| Category | Subcategory | Attributes | Examples | Purpose |
|---|---|---|---|---|
| By Function | Stock Inventory | Basic replenishment items | Groceries, apparel, electronics | Meet regular customer demand. |
| Safety Stock | Buffer against demand fluctuations | Extra units of popular products | Mitigate stockouts. | |
| Seasonal Inventory | Items for specific seasons/events | Christmas decor, summer apparel | Capture seasonal demand. | |
| Dead Stock | Obsolete or unsellable items | Outdated tech, expired food | Identify for liquidation or disposal. | |
| By Ownership | Owned Inventory | Retailer-purchased stock | Products in storage or store shelves | Full control by the retailer. |
| Consignment Inventory | Vendor-owned until sold | Branded products provided by suppliers | Reduces upfront costs for the retailer. | |
| Vendor-Managed Inventory (VMI) | Inventory managed by the supplier | Fast-moving consumer goods (FMCG) | Streamlines replenishment. | |
| By Lifecycle Stage | Raw Materials | Inputs for in-house production | Packaging materials, bulk ingredients | Supports product manufacturing. |
| Work-in-Progress (WIP) | Partially completed products | Semi-finished baked goods, electronics | Tracks unfinished inventory. | |
| Finished Goods | Ready-to-sell products | Packaged snacks, shoes | Drives sales directly. | |
| Returns and Damaged Goods | Items returned or damaged | Defective appliances, mispicked items | Plan for repairs or refunds. | |
| By Demand Type | Fast-Moving Inventory | High turnover rate | Snacks, toiletries | Frequent restocking required. |
| Slow-Moving Inventory | Low turnover rate | Specialty tools, high-end furniture | Requires discounting or promotions. | |
| By Storage Location | On-Site Inventory | Stored within the retail location | Shelves, backroom stock | Immediate access for customers. |
| Off-Site Inventory | Stored externally | Distribution centers, warehouses | Supports large-scale operations. | |
| By Classification | High-Value Inventory | Expensive, high-margin items | Luxury watches, premium electronics | Requires tighter security measures. |
| Perishable Inventory | Time-sensitive items | Fresh produce, dairy | Needs rapid turnover and cold storage. | |
| Non-Perishable Inventory | Long shelf-life products | Canned goods, clothing | Allows for long-term storage. | |
| Hazardous Inventory | Dangerous or regulated items | Cleaning chemicals, batteries | Requires compliance with safety laws. | |
| Bulk Inventory | Large quantities purchased or stored | Wholesale items, palletized goods | Economical purchasing strategy. |
Inventory Modelling Tools
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| Model | Purpose | Key Formula/Concept | Applications |
|---|---|---|---|
| Economic Order Quantity (EOQ) | Minimize total inventory costs (ordering + holding) | \(\text{EOQ} = \sqrt{\frac{2DS}{H}}\) | Bulk ordering optimization |
| Reorder Point (ROP) | Determine when to place a new order | \(\text{ROP} = (d \times L) + \text{SS}\) | Avoid stockouts during lead time |
| ABC Analysis | Prioritize inventory management based on value | Categorize inventory into A (high), B (moderate), C (low) value based on consumption | Inventory prioritization |
| Newsvendor Model | Optimize inventory for single-period products | \(Q^* = F^{-1}\left(\frac{C_u}{C_u + C_o}\right)\) | Seasonal or perishable goods |
| Inventory Turnover Ratio | Measure how efficiently inventory is sold | \(\text{Turnover} = \frac{\text{COGS}}{\text{Average Inventory}}\) | Identify slow-moving inventory |
| Base Stock Model | Maintain consistent inventory levels | \(\text{Base Stock Level} = d \times L + \text{SS}\) | High variability in demand |
| Safety Stock Calculation | Buffer against demand and lead time variability | \(S = Z \times \sqrt{(L \cdot \sigma_d^2) + (d^2 \cdot \sigma_L^2)}\) | Avoid shortages during variability |
| Dynamic Programming Models | Optimize over multiple time periods | Minimizes costs dynamically considering future demand. | Seasonal inventory planning |
| Stochastic Inventory Models | Address uncertainty in demand and lead times | \((Q, R)\) Model: Orders triggered at \(R\), with order size \(E\). | FMCG, pharmaceuticals |
| Lot Sizing Models | Optimize batch sizes for production or orders | Examples: Silver-Meal Heuristic, Least Unit Cost (LUC) | Manufacturing, wholesale |
| Simulation Models | Analyze complex inventory scenarios | Uses simulations to model performance under varying demand, lead times, or disruptions. | Logistics, warehousing |
References
- https://en.wikipedia.org/wiki/Inventory