Novel Approach for Weighting in the Geographic Information System Focused on a Multistakeholder Problem: Case for the Residual Biomass Processing System

Recently, geographic information system (GIS) tools have
been used
to determine suitable locations on different manufacturing systems.
Commonly, GIS tools assign weights to diverse geographical layers,
where weights are assigned by knowledge experts as well as methods
such as the analytical hierarchy process and the best worst method.
However, most of the methodologies to assign weights are based on
subjective criteria. Thus, this work proposes a novel approach for
determining weights in a GIS methodology based on a multistakeholder
approach to address the lack of methodologies to determine weights
in GIS approaches. Our proposal consists of a multiobjective optimization
problem considering several cases proposed by stakeholders, which
are based on previously obtained GIS models. Consequently, weights
are determined via a multiobjective approach to find the trade-off
between satisfaction and global suitability. We applied the proposed
methodology in a case study for Mexico focused on determining locations
of a biomass supply chain. Results show that it is not possible to
reach the maximum satisfaction level for each of the stakeholders
simultaneously. Nevertheless, we generated a Pareto curve to show
the compromise between suitability and satisfaction, which could be
an extra tool for the decision-making process.