An improved binary linear programming approach for life cycle assessment system boundary identification

Feri Afrinaldi, Hong Chao Zhang, John Carrell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to ISO standards life cycle assessment (LCA) consists of goal definition and scoping, inventory analysis, life cycle impact assessment and interpretation. In goal definition and scoping LCA system boundary is defined. Since LCA is time consuming then there is a need for a systematic approach to determine which processes needed to be included in the system boundary. This paper fulfills the need by proposing an improved binary linear programming model for LCA system boundary identification. The objective function of the model is to minimize the number of processes included in the system boundary and its constraints are the specified mass, energy and economic value ratios. In order to demonstrate its applicability an example is presented. A sensitivity analysis is also conducted in order to illustrate how the change in the specified mass, energy and economic value ratio will affect current optimum system boundary.

Original languageEnglish
Title of host publicationIEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages1597-1601
Number of pages5
ISBN (Electronic)9781479909865
DOIs
StatePublished - Nov 18 2014
Event2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013 - Bangkok, Thailand
Duration: Dec 10 2013Dec 13 2013

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2013 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2013
CountryThailand
CityBangkok
Period12/10/1312/13/13

Keywords

  • LCA
  • linear programming
  • system boundary

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