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.
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.
