A binary linear programming approach for LCA system boundary identification

Feri Afrinaldi, Hong Chao Zhang, John Carrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

One of the very first steps in conducting life cycle assessment (LCA) is system boundaries identification. A binary linear programming (LP) model is proposed to identify boundary between significant and insignificant processes in a LCA study. The proposed model is designed based on Relative Mass-Energy-Economic (RMEE) methodology. There are two types of objective function that can be solved by the proposed model, (1) to minimize number of processes considered in LCA or (2) to maximize cut-off criteria values. A numerical example and sensitivity analysis are provided to verify the applicability of the proposed model.

Original languageEnglish
Title of host publicationRe-Engineering Manufacturing for Sustainability - Proceedings of the 20th CIRP International Conference on Life Cycle Engineering
EditorsAndrew Y.C. Nee, Bin Song, Soh-Khim Ong
PublisherSpringer Berlin Heidelberg
Pages435-440
Number of pages6
ISBN (Electronic)9789814451475
DOIs
StatePublished - 2013
Event20th CIRP International Conference on Life Cycle Engineering, LCE 2013 - Singapore, Singapore
Duration: Apr 17 2013Apr 19 2013

Publication series

NameRe-Engineering Manufacturing for Sustainability - Proceedings of the 20th CIRP International Conference on Life Cycle Engineering

Conference

Conference20th CIRP International Conference on Life Cycle Engineering, LCE 2013
CountrySingapore
CitySingapore
Period04/17/1304/19/13

Keywords

  • LCA
  • Linear programming
  • System boundary

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  • Cite this

    Afrinaldi, F., Zhang, H. C., & Carrell, J. (2013). A binary linear programming approach for LCA system boundary identification. In A. Y. C. Nee, B. Song, & S-K. Ong (Eds.), Re-Engineering Manufacturing for Sustainability - Proceedings of the 20th CIRP International Conference on Life Cycle Engineering (pp. 435-440). (Re-Engineering Manufacturing for Sustainability - Proceedings of the 20th CIRP International Conference on Life Cycle Engineering). Springer Berlin Heidelberg. https://doi.org/10.1007/978-981-4451-48-2_71