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An aggregated life cycle sustainability index  379


              effect of the global diets. In summary, the composite sustainability index and
              aggregated sustainability index are innovative approaches to aggregate mul-
              tidimensional indexes into the one or some comparable indexes to evaluate
              sustainability (Gan et al., 2017). Computing aggregate values is a common
              method used for constructing indices. An index can be either simple or
              weighted depending on its purpose (Singh et al., 2012). Composite index
              needs to be designed within a coherent framework to ensure the specific
              parameters involved in the assessment process can change over time based
              on the interests of the particular stakeholders.
                 However, despite the plenty outcomes for the application of composite
              and aggregated sustainability index methods, there are two key gaps for life
              cycle aggregated sustainability method (Ren et al., 2015b): (1) how to
              address the qualitative criteria that are difficult to quantify in the social aspect
              and (2) how to use the multidimensional LCSA results for decision making.
                 Ren (2018) developed a powerful method which can quantify the life
              cycle aggregated sustainability of industrial systems by aggregating the data
              of each alternative with respect to the evaluation criteria and the weights of
              the criteria into a single sustainable index, and this method was employed in
              this chapter to determine the sustainability sequences of three pathways for
              bioethanol production (wheat-, corn-, and cassava-based bioethanol pro-
              duction pathways) by using the life cycle aggregated sustainability
              index method.



              2 Life cycle aggregated sustainability index of three
              biofuel production pathways

              The method developed by Ren (2018) was employed to study the life sus-
              tainability performances of three pathways for bioethanol production
              including wheat-, corn-, and cassava-based options in Chinese conditions
              (Ren et al., 2015b). The framework of multicriteria decision making for life
              cycle sustainability assessment is shown in Fig. 14.1. The function unit is 1
              ton bioethanol. The life cycle boundary of bioethanol systems is shown in
              Fig. 14.2. The distance from the field to the plant for bioethanol production
              and that from the plant to the market are assumed to be 300 and 500km,
              respectively. The life cycle sustainability performances of these three scenar-
              ios for bioethanol production are presented in Table 14.1 based on the work
              of Ren et al. (2015b). It is apparent that all the data in the life cycle sustain-
              ability performance matrix are crisp numbers, and they can be written in the
              format of interval numbers, as presented in Table 14.2.
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