1996 Electronics Industry Environmental Roadmap - Civil and ...
1996 Electronics Industry Environmental Roadmap - Civil and ...
1996 Electronics Industry Environmental Roadmap - Civil and ...
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Information <strong>and</strong> Knowledge Systems<br />
Of course, many resources are not yet available on the WWW. Several potentially useful sources<br />
of tools <strong>and</strong> information are available to the public, but are not yet integrated into the growing<br />
on-line community. For example:<br />
Global <strong>Environmental</strong> Management Initiative (GEMI): An organization of companies<br />
dedicated to fostering environmental excellence, worldwide, by promoting a worldwide<br />
business ethnic for environmental management <strong>and</strong> sustainable development. The<br />
growing number of companies (especially electronics industry companies) associated<br />
with this program <strong>and</strong> the consensus of member companies could be of considerable<br />
present <strong>and</strong> future value in attaining pollution prevention objectives. The success stories<br />
of member companies in resolving pollution problems would be of great use.<br />
EPA, Chemical Use Clusters Scoring Methodology: An EPA program for using algorithms<br />
to “score” the combined effects of groups of chemical substances used in various<br />
manufacturing processes. The purpose of the system is to emphasize the importance of<br />
pollution prevention—particularly the use of safer substitutes. The system operates by<br />
creating chemical “use clusters,” sets of competing chemicals <strong>and</strong> technologies for a<br />
given use. When used in conjunction with other resources (e.g., known chemical use<br />
patterns, toxicity information, “Existing Chemical Data,” <strong>and</strong> “New Chemicals Data”<br />
etc.), a predictive model to classify desirable vs. undesirable chemicals with respect to<br />
pollution prevention “intensity” can be derived.<br />
Tellus Institute, P2/Finance Computer Program: P2/Finance is an innovative approach to<br />
analyzing costs associated with pollution prevention, <strong>and</strong> is available for less than $100.<br />
The software consists of a series of Microsoft Excel spreadsheets for determining individual<br />
company costs associated with pollution prevention activities. This computer<br />
program appears to include all reasonable variables associated with the costs of pollution<br />
prevention for a company. It is possible that multi-company users could combine similar<br />
data for industry projections. Although the program itself is fairly rudimentary, it could<br />
be considerably enhanced for use in the U.S. electronics industry. The approach is very<br />
interesting <strong>and</strong> deserves in-depth evaluation.<br />
At this point, however, there is no single consolidated source of environmental data about the<br />
electronics industry. The wide distribution <strong>and</strong> heterogeneity of the data, along with<br />
incompatible protocols, configurations, <strong>and</strong> platforms effectively impedes efficient access.<br />
Effective data organization, access, retrieval, analysis, <strong>and</strong> management represents a prime<br />
opportunity for industrial collaboration. The emergence of new information technologies,<br />
including the increasingly ubiquitous global information network represented by the Internet <strong>and</strong><br />
other emerging networks, provide a framework for integrating information both within <strong>and</strong><br />
across enterprises. Furthermore, new information management tools supporting the navigation of<br />
diverse networks <strong>and</strong> the automatic, intelligent acquisition of data from those networks have the<br />
potential to enable a remarkable level of information access.<br />
Accomplishing a well-integrated environmental data management system is not a simple task.<br />
The many tools <strong>and</strong> approaches to data management that are appearing on the scene provide<br />
some mechanisms to approach the challenge. But substantial research, development, integration,<br />
<strong>and</strong> testing will be necessary.<br />
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