Скачать или смотреть Optimizing Inventory deployment strategy with NO + IO (new UI)

Optimizing Inventory deployment strategy with NO + IO (new UI)

Follow this demo case study to see how Network Optimization and Inventory Optimization capabilities on Sophus X can be combined to model the centralization vs De-centralization strategies at House Pro, a top home improvement retailer in the U.S.

House Pro's network includes a central distribution center and six regional centers, grappling with challenges like high inventory levels and fluctuating demand. 📊 The objective was to slash inventory and network costs without compromising service quality. 📉

The study employed ABC analysis for product categorization, identifying Class A items as most critical. 📈 It scrutinized decentralized and centralized inventory strategies, underlining trade-offs between transportation and inventory costs, and the balance of service levels and inventory optimization. 🔄 The centralized model, while upping transportation costs for certain products, yielded inventory cost savings through centralization.💡

This holistic approach, blending network and inventory optimization, demonstrates the power of strategic planning in supply chain management, a domain where Sophus particularly shines. ✨

0:00 Introduction
0:15 Business Background
1:02 Business Goal
1:25 ABC Analysis
1:59 Network Strategies
2:20 Key Trade-offs
3:00 Modeling Approach
3:20 Input Requirements
3:51 Model Walkthrough
5:18 Custom BI
5:24 NO Outputs
5:55 IO Outputs
6:16 NO+IO Outputs
6:44 Ending (edited)

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