abstract
- Copyright © 2019 American Chemical Society.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.