confidence in such final ranking. Stochastic results provide a measure of the
robustness of the ranking and conclusions. Scenario with retreading show a higher
probability to reflect the best compromise solution according the value judgments
of the decision-makers.
Our approach is very useful when ranking products considering their uncertain
LCSA performances. It be also applied in cases where many scenarios are
compared.
4 Conclusions
As all sustainable decision-making problems based on LCSA approach, choosing a
scenario to supply tires for road transportation involves trade-offs when including
the three pillars of sustainability into decision-making process. We used the MCDA
approach to rank the potential scenarios and recommended a solution offering the
better compromise in the view of decision-makers value judgments.
Table 1 Sets of weighting factors considered for MCDA methods
Decision variables
Weighting factors
Sustainability dimensions
Decision criteria
Set 1 (%)
Set 2 (%)
Social
Labour rights and decent work
8
8
Health and security
8
8
Human rights
8
8
Governance
8
3
Environmental
Human health
11
8
Ecosystem quality
11
5
Resources
11
13
Economic
Life cycle cost
34
50
0%
20%
40%
60%
80%
100%
Weighted sum
Prométhée II
Topsis
MCDA methods
Set 1 Set 2
Fig. 5 Probability that Scenario with retreading scores better than Scenario without retreading for
the two sets of weighting factors
324
B. B. T. do Carmo et al.
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