INVESTIGADORES
MONTAGNA Jorge Marcelo
congresos y reuniones científicas
Título:
An appropriate assessment of the supply chain performance considering different indicators
Autor/es:
VANZETTI, NICOLÁS; CORSANO, GABRIELA; MONTAGNA, JORGE MARCELO
Lugar:
Buenos Aires
Reunión:
Conferencia; Latin-Iberoamerican Conference on Operations Research (CLAIO 2022); 2022
Institución organizadora:
CLAIO
Resumen:
The supply chain (SC) is comprised of members committed and integrated to satisfying customer needs. Its successful operation depends on the agreement and coordination of the resources involved. There are numerous works that study the SC from different points of view, emphasizing the competitive advantages that firms have being part of a SC. When SC performance is assessed, appropriate criteria must be determined. This evaluation should be multidimensional and representing it with a single metric is often an inappropriate approach. Although different perspectives are considered in some papers, evaluations use to be global without analysing how these objectives impact each member. Generally, SC members are not affected in the same way, and benefits and difficulties are not shared equally. In this context, this work evaluates the SC performance considering different criteria, emphasizing how they influence the SC as a whole and each member in particular in different ways.For this analysis, the forest SC will be taken as an example, considering the strong relationship of cooperation and competition that exists among its members. In this industry, there are various alternatives for obtaining resources and generating product and, thus, the operation of each of its members has a significant impact on the rest. For this study, economic, operational and environmental indicators are considered, and the evaluation will be carried out using a mixed integer linear programming model.In the first instance, the influence of these objectives on the global SC performance is evaluated. Then, for each criterion, the individual performance of each member is optimized and compared with the global performance in order to assess the influence of the entire behaviour on each SC member. Finally, a multiobjective approach is proposed to provide a useful tool to decision makers to appropriately manage the SC performance.