Скачать или смотреть EX-07-43 – Solver for Manufacturing: Optimize Product Mix with Inventory & Margin Constraints

In this advanced lesson, we bring Excel’s Solver into the manufacturing arena to solve one of the most common and critical business challenges: what product mix maximizes revenue or margin given limited inventory and resource constraints. Students work with a multi-product scenario involving raw materials like soil, compost, minerals, and mulch—each with specific usage per product and available stock. Using Solver, we determine how many units of each product to manufacture in order to maximize profit or margin while respecting constraints like inventory on-hand, minimum batch sizes, and non-negative integer quantities. This is Excel data analysis applied directly to operations, showing how to model production feasibility and financial outcomes in one integrated spreadsheet. We walk through setting the objective (maximize margin), defining the variable cells (production quantities), and entering realistic constraints for material availability and batch minimums. The model also tracks cost of goods sold by ingredient and computes per-item cost and total profitability. It’s a live business engine powered by formulas and Solver logic. For professionals using Excel for data analysis, this scenario delivers one of the most valuable templates in any industry—whether in food production, chemicals, retail bundles, or R&D prototyping. It’s also a visual explanation of what is data analysis: turning inputs, limits, and goals into smart, profitable decisions. Solver transforms what used to be manual guesswork into a structured, repeatable, and data-driven approach to manufacturing planning. It’s one of the crown jewels of Microsoft Excel data analysis tools, and this lesson shows exactly why.
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