Page 200 - Materials Chemistry, Second Edition

198 9. Life cycle decision support framework: Method and case study

FIG. 9.4 Sensitivity result.

9.5 Conclusions

The combination of LCSA and MCDM improves the data quality and provides a direct de-
cision making result based on all-round sustainability assessment. This chapter summarized
MCDM methods including weighting methods and aggregating methods used in competitive
case studies based on LCSA results. From the summarization tables, the popularity of
weighting methods and aggregating methods used in LCSA analysis can be observed, respec-
tively. To better illustrate the operation of the combination of LCSA and MCDM, a group
ZBWM combined with the goal programming method was adapted to analyze a case study
regarding waste oil management technologies selection. The method proved feasible and ef-
fective to assist group decision makers to achieve a consensus.
In the future, more MCDM will be developed or revised to make those methods suitable for
more situations or find out the most efficient tool for a certain industry. More works are
expected be done for an overall LCSA.

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