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Integration of Energy Information for Product Assembly and Logistics Processes

Published

Author(s)

Shaw C. Feng, FNU Kumaraguru, Kincho H. Law, Kyeong Rim Ahn

Abstract

This paper presents an on-going effort at NIST to model the energy performance in assembly and supply chain processes as a part of a larger sus-tainability improvement goal. Energy performance modeling comprises two dis-tinct metrics like energy consumption and energy efficiency. A new approach to predict these metrics through computation models is proposed in this paper. Theoretical minimum energy for the above mentioned processes are used to calculate energy efficiencies rather than the historical energy baseline data in our approach. In addition, an information model is presented in this paper to serve as a guide to industry to aggregate energy across processes under study. Based on this information model, industry will be able to assess energy con-sumption and efficiencies on the overall plant level yet traceable to individual processes, equipment and suppliers. This enables manufacturers to identify en-ergy saving opportunities in their assembly processes and supply chains.
Proceedings Title
APMS 2013 International Conference, Advances in Production Management Systems - Sustainable production and Service Supply Chains
Conference Dates
September 9-12, 2013
Conference Location
State College, PA

Keywords

Assembly Equipment Characterization, Assembly Processes Characterization, Sustainable Manufacturing, Sustainability Measurement.

Citation

Feng, S. , Kumaraguru, F. , Law, K. and , K. (2013), Integration of Energy Information for Product Assembly and Logistics Processes, APMS 2013 International Conference, Advances in Production Management Systems - Sustainable production and Service Supply Chains, State College, PA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913682 (Accessed December 5, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 13, 2013, Updated February 19, 2017