*_Notice and Invitation_*

Oral Defense of Doctoral Dissertation

The Volgenau School of Engineering, George Mason University

Guodong Shao

*Decision Guidance for Sustainable Manufacturing***

Thursday, March 28, 2013, 2:00pm -- 4:00pm
The Engineering Bldg. Room 4201

All are invited to attend.

Alexander Brodsky, Co-Director

Paul Ammann, Co-Director
Daniel MenascÚ

David Schum


Sustainable manufacturing has significant impacts on a company's 
business performance and competitiveness in today's world. A growing 
number of manufacturing industries are initiating efforts to address 
sustainability issues; however, to achieve a higher level of 
sustainability, manufacturers need methodologies for formally 
describing, analyzing, evaluating, and optimizing sustainability 
performance metrics for manufacturing processes and systems. Currently, 
such methodologies are missing.

This dissertation developed the SustainableProcess Description and 
Analytics (SPDA) formalism and a systematic decision guidance 
methodology to fill the research gaps. The methodology provides 
step-by-step guidance for sustainability performance analysis and 
decision optimization using the SPDA formalism. The SPDA formalism 
provides unified syntax and semantics for querying, what-if analysis, 
and decision optimization; is modular, extensible, and reusable; 
supports built-in process and sustainability metrics modeling that 
enable users using data from production, energy management, life cycle 
assessment reference for modeling and analysis; is easy to use by 
manufacturing and business users; and also provides a reduction 
procedure that enables the translations of the SPDA query into 
specialized models such as optimization or simulation model for decision 
guidance. Two real world sustainable manufacturing case studies have 
been performed to demonstrate the use of formalism and the methodology.

A copy of this doctoral dissertation is on reserve at the Johnson Center