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Data Modeling to Support Environmental Information Exchange Throughout the Supply Chain



Eric D. Simmon, John V. Messina


With an ever-increasing awareness of the environmental impact of manufacturing, more and more political organizations (countries, states, and unions) are enacting legislation designed to protect the environment. One category of this restrictive legislation is called Extended Producer Responsibilities (EPR). EPR directives place greater responsibility on manufacturers for the environmental impact of their products. These laws shift the focus from the products origin to the products final destination and from the process of manufacturing to the actual product itself. The highest impact of these directives is the Restriction of Hazardous Substances (RoHS) directive, finalized by the European Union in 2003. The RoHS directive restricts imports of new electrical and electronic equipment containing lead and five other hazardous substances. For manufacturers to successfully comply with RoHS and similar legislation they need the ability to exchange material content information concerning the absence of restricted hazardous materials. This information would then propagated throughout the supply chain from the raw material suppliers all the way to the final producer. While a solution could be generated for any single piece of legislation, the problem is that companies will need to successfully deal with potentially dozens of laws and directives. To deal with this problem, NIST developed a data model that looked at the underlying material content declaration problem. This data model was then used as the key element in the development of IPCs 1752 Material Declaration standard designed to help the electronics industry comply with RoHS. While the IPC 1752 standard does support RoHS, the data model was designed with the intent that it would be able to support additional RoHS-like legislation (China RoHS, California RoHS, etc) with little effort. The key being, even if different solutions were developed for each piece of Legislation, as long as they where based on the same data model the solutions would be interoperable. This paper looks at the data model designed for the IPC1752 standard and how it can be adapted to similar RoHS-like laws and directives.
Complex Systems Concurrent Engineering
Publisher Info
Springer London, Guildford,


RoHS, IPC 1752, data modeling, China RoHS, environmental legislation


Simmon, E. and Messina, J. (2007), Data Modeling to Support Environmental Information Exchange Throughout the Supply Chain, Complex Systems Concurrent Engineering, Springer London, Guildford, , [online], (Accessed June 22, 2024)


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Created July 1, 2007, Updated February 19, 2017