EX-07-47 – Solver for Logistics: Minimize Delivery Costs from Plants to Warehouses

This might be the most powerful business application of Excel Solver in the entire series. In this lesson, we solve a full-scale logistics optimization problem — determining the most cost-effective way to deliver cases of product from multiple bottling plants to multiple warehouses while respecting demand requirements and plant capacity limits. Each cell in the matrix reflects the delivered cost per case from plant to warehouse, creating a classic transportation cost grid. The challenge? Decide how many cases to send from each plant to each warehouse so that total shipping cost is minimized, no plant exceeds its production capacity, and each warehouse receives exactly what it needs. Solver handles it all, using constraints and changing decision variables to find the cheapest overall delivery configuration. The final result is not only optimal — it’s business actionable. For supply chain managers, logistics planners, and financial strategists using Excel for data analysis, this becomes a high-value forecasting and planning tool. It’s also a visual answer to what is data analysis — using formulas and Solver logic to reduce waste, save money, and support strategic decisions. Of all Microsoft Excel data analysis tools, Solver stands alone when it comes to solving problems like this. Whether you’re working in retail, distribution, beverage, or freight — this lesson is a game-changer.
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Видео EX-07-47 – Solver for Logistics: Minimize Delivery Costs from Plants to Warehouses канала Computer Software Training