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Publication Citation: Understanding the IPC 175X Data Model

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Author(s): Eric D. Simmon; John V. Messina;
Title: Understanding the IPC 175X Data Model
Published: May 01, 2008
Abstract: More and more political bodies (countries, states, and unions) are enacting legislation designed to protect the environment from the impact of manufacturing. One category of restrictive legislation is called Extended Producer Responsibilities (EPR). The EPR directive with the biggest impact on the electronics industry is the EU Restriction of Hazardous Substances (RoHS) directive, finalized in 2003. The RoHS directive restricts the importation into the EU of new electrical and electronic equipment containing six hazardous substances including lead. For manufacturers to successfully comply with RoHS and similar EPR legislation, they need the ability to exchange material content information. This information needs to propagate through the supply chain from the raw material suppliers all the way to the final producer. To deal with this problem, the National Institute of Standards and Technology (NIST) (a US Government Research Laboratory) developed a data model to address the underlying material declaration problem using a software development methodology. This data model was used in the development of IPC?s 1752 Material Declaration standard. While IPC 1752 was created with a focus on EU RoHS, industry is now faced with a multitude of new environmental legislations and regulations. While many are variants of the RoHS legislation, several address entirely new areas of environmental awareness such as energy efficiency. To address this problem, NIST has developed an updated model for IPC 1752 version 2.0. This model has a larger scope and is more modular making it better suited to address regulations beyond RoHS and meet other supplier declaration needs. This paper looks at the data models used in both version of IPC 1752 and highlights the differences for application developers.
Conference: IPC APEX
Location: Las Vegas, NV
Dates: April 1-5, 2008
Keywords: data model;electronics manufacturing;environmental legislation;RoHS
Research Areas: Product Data