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Control your inventory in a world of lean retailing
Harvard Business Review
|February 24, 2001
Summary
Manufacturers can improve profitability by differentiating inventory policies for each stock-keeping unit (SKU). Tailoring inventory and sourcing strategies to SKU demand variability reduces costs and optimizes stock levels.
Area of Science:
- Operations Management
- Supply Chain Management
- Manufacturing Strategy
Background:
- Retailers' adoption of lean retailing necessitates ongoing stock replenishment, shifting inventory risk to manufacturers.
- Increasing product proliferation complicates demand forecasting for manufacturers.
- Current inventory policies often apply a one-size-fits-all approach to stock-keeping units (SKUs) within a product line.
Purpose of the Study:
- To investigate the impact of differentiating inventory policies at the SKU level.
- To explore how SKU-level differentiation can optimize inventory holding costs and improve profitability.
- To examine the application of SKU-level differentiation in sourcing strategies.
Main Methods:
- Analysis of inventory demand variation across different stock-keeping units (SKUs).
- Comparison of a uniform inventory policy versus differentiated policies based on SKU sales volume and demand variability.
- Evaluation of mixed sourcing strategies (offshore vs. close-to-market production) based on SKU characteristics.
Main Results:
- Differentiating inventory policies by SKU can significantly reduce overall inventory levels.
- High-volume SKUs benefit from lower inventory, while low-volume SKUs may require increased stock to manage demand variability.
- A mixed sourcing strategy, producing low-variation goods offshore and high-variation goods locally, optimizes costs.
Conclusions:
- Implementing SKU-level differentiated inventory policies is crucial for manufacturers facing lean retailing pressures.
- Optimizing inventory and sourcing strategies at the SKU level enhances profitability and mitigates inventory risk.
- This approach allows manufacturers to better manage demand uncertainty and reduce operational costs.