Manufacturing Factory Improves Production Feasibility Planning with Tilbury CAN BUILD REPORT

Overview

A manufacturing factory needed a reliable way to determine how much of each finished good could be produced using available and expected raw materials. Production decisions depended on store balances, incoming purchase orders, bills of quantity (BOQ), and delivery commitments. Reviewing these data separately made it difficult to identify material constraints and anticipate shortages before planned production dates.

To address this planning challenge, the factory evaluated the Tilbury CAN BUILD REPORT, an Excel-based manufacturing analysis solution.

Solution

CAN BUILD REPORT brings together Raw Material (RM), Finished Goods (FG), and BOQ data to assess production feasibility against material availability and relevant commitment dates.

The analysis considers quantities already in store and expected receipts from purchase orders, along with their dates. For each finished good, its required quantity, lead time, and commitment date are considered alongside the raw material quantity required per part. The CAN BUILD analysis identifies the quantity that can be produced and the limiting raw
material, helping planners distinguish feasible production from material-constrained demand.

A complementary Full Build RM Shortage Report highlights the raw material quantities needed for full production, the available balance or shortage, and key dates. Together, the reports give planners a structured view of what can be built, what cannot yet be built in full, and where procurement or scheduling attention is required.

Business Impact

Result

With Tilbury CAN BUILD REPORT, the factory can turn existing material and production data into actionable planning insights. The CAN BUILD and Full Build RM Shortage reports support realistic production commitments, earlier shortage identification, and better-informed procurement and scheduling decisions. The solution provides a practical foundation for improving material utilization and production planning confidence.

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