Social LCA supporting Sustainable Supply Chain Management (SSCM): the case of a symbiotic cluster

The application of social Life Cycle to company network constitute a new measure of effective logistics management. This paradigm, however, requires a series of adaptation to enable a horizontal integration between distributed data. This paper introduces a methodology to support a transition from social qualitative measurements to quantitative KPIs in the view of Social Life Cycle and aggregates it within the "Social Supply Chain Profile" (S-SCP). Such approach has been applied to assess and optimize the sustainability of a symbiotic cluster in the circular economy perspective through a concurrent use of discrete event simulation and Independent Information Modules (IIMs).