How to Leverage Input-Output Inventory Templates

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Description

The flier provides manufacturers with a clear, practical overview of how to use PNNL’s Input-Output Data Inventory templates (also known as life cycle inventory templates) to streamline and strengthen their bill-of-material, input-output, and supply chain data collection efforts. It highlights the value of structured templates in simplifying the complex process of defining assessment goals, aligning with product category rules, and maintaining consistent system boundaries—from cradle‑to‑gate to cradle‑to‑grave. Readers learn how the templates guide them step‑by‑step through the preparation and data‑gathering process, including identifying internal data sources, coordinating with facility and supply chain teams, and compiling detailed bills of materials, manufacturing inputs and outputs, emissions, waste streams, and facility‑level resource use. Because these data inventory templates (see the Project Page for links to download the templates) are tailored specifically to building‑industry product categories, manufacturers can rely on them to improve accuracy, transparency, and completeness in their assessments. The flier also outlines a simple decision flow to help users determine when additional data or PNNL support may be needed. Overall, the content empowers manufacturers and product designers to efficiently complete high‑quality inventories, enabling stronger impact and supply chain assessments.

 

CITATIONS:

Bibliography APA

Feraldi, R. J., & Hickcox, K. S. (2026, March). How to Leverage Input-Output Inventory Templates [Flier]. Richland, Washington, U.S.: Pacific Northwest National Laboratory.

Bibliography MLA

Feraldi, Rebe J and Kate S Hickcox. "How to Leverage Input-Output Inventory Templates." Richland: Pacific Northwest National Laboratory, March 2026. Flier.

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Current methods for product or material input-output inventory data often require significant time and effort from manufacturers to compile. Additionally, without a uniform methodology these can result in inconsistent datasets that are difficult for practitioners to evaluate and compare, even within...

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