Hybrid modeling and simulation for complementing Lifecycle Assessment

Bochao Wang, Séverin Brême, Young B. Moon

Research output: Contribution to journalArticle

28 Scopus citations

Abstract

This paper presents a new complementary lifecycle assessment (LCA) approach to address several limitations of the standard LCA methodology. An integrated approach of agent-based modeling, system dynamics and discrete event simulation was adopted to complement the standard LCA methodology. A hybrid simulation model was developed as a proof-of-concept system, then it was validated using a case study of bottled water and alternative drink products. The model was based on the assumption that parameters and relationships were constant regardless of local uniqueness. The research demonstrates that the hybrid modeling and simulation method can address several limitations of the standard LCA. Also, it is also proven that the method has a potential to address social and economic aspects.

Original languageEnglish (US)
Pages (from-to)77-88
Number of pages12
JournalComputers and Industrial Engineering
Volume69
Issue number1
DOIs
StatePublished - Mar 1 2014

Keywords

  • Agent-based modeling
  • Discrete-event simulation
  • Lifecycle assessment (LCA)
  • Sustainability
  • System dynamics

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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