DEVELOPMENT OF LIFE CYCLE INVENTORY MODULES FOR SEMICONDUCTOR PROCESSING
Description:
The primary objective of the proposed project is to develop generic, use cluster, life cycle inventory (LCI) modules for activities performed during the manufacture of integrated circuits (ICs). This research is intended to facilitate the establishment of standards, encourage the development of predictive rather than historical life cycle analyses, and potentially simplify communication along the materials/product supply chain. The creation of generic rather than product/process specific modules is intended to focus the effort on the gathering and analysis of data that are relatively independent of time and space (i.e., data that will not become obsolete as technology changes are made and which may be applied to multiple manufacturing sites). This will foster standardization and encourage use of the modules by the industry in general rather than by a single company. Generic modules are also less likely to contain sensitive or proprietary manufacturing information and may decrease concerns about sharing of confidential information along the supply chain.
Record Details:
Record Type:PROJECT(
ABSTRACT
)
Start Date:04/01/2000
Completion Date:03/31/2003
Record ID:
52871
Keywords:
SUSTAINABLE DEVELOPMENT, CLEAN TECHNOLOGIES, WASTE REDUCTION, WASTE MINIMIZATION, ENVIRONMENTALLY CONSCIOUS MANUFACTURING, ENVIRONMENTAL CHEMISTRY, ELECTRONICS [SIC-3674],
Project Information:
Approach
:The proposed research will lay the groundwork and develop methodologies for
gathering and analyzing data in the area of environmental merit. The intent is
to begin the process of capturing and analyzing LCI data such a way that it is
immediately useful, while at the same time has extendability across the
industry, along supply chain lines, and into the future technologies. A
high-level approach will be used to overcome some of the extreme complexity and
time barriers that have historically associated with similar efforts. Motorola
and SEMATECH, both in Austin, Texas, have agreed to work with the University of
Texas to provide technical guidance to the team and permit access to data and
process areas as appropriate in the execution of this project.
The general approach to the project will be to create an initial set of use
cluster modules and associated LCI modules. The modules will be populated with
actual data and validated in a manufacturing setting. Inputs will be described
as parametric distributions and sensitivity analyses will be performed using
Monte Carlo simulation. The team will then down-select to a small number of use
clusters of particular concern or interest. Additional predictive LCI module
options, which represent future technologies will be developed for these
down-selected modules. These predictive modules will be populated with
postulated data and sensitivity analyses will be generated. The results of the
predictive LCI modules will be shared with a number of industry representatives. Feedback from these representatives will be incorporated as appropriate.
Cost
:$325,000.00
Research Component
:Pollution Prevention/Sustainable Development
Project IDs:
ID Code
:R828208
Project type
:EPA Grant