Autor: LUIZA RIBEIRO ALVES CUNHA
Orientador: Adriana Leiras & Paulo Marcio Goncalves
Data e Hora: 26/08/2022, 5:30h
Link Zoom Meeting:
Resumo:
Research in Humanitarian Operations (HO) has attracted the attention of academics and practitioners by applying analytical tools to improve response to beneficiaries. Different studies suggest that the integration of traditional practices and theories of logistics and operations management (OM) in the complex context of disasters would benefit the humanitarian supply chain. One of the most recognised techniques in OM is simulation, being System Dynamics (SD) a method capable of model simplified representations of realities and gain valuable insights into situations of dynamic complexity. In this context, this thesis aims to analyse the complexity of HO through SD. The thesis presents a systematic literature review (SLR) to identify state of the art regarding the subject and the gaps in the literature. Then, two complex and dynamic operations are modelled through SD. The first operation involves collecting and distributing donations to vulnerable population from Rio de Janeiro, Brazil amid the COVID-19 pandemic. As a result, we demonstrated that: (i) increasing access to cleaning products in communities can significantly reduce transmission; (ii) food donations can increase the population’s affordability; (iii) accessibility increases by 20% in vouchers/cash donations compared to all in-kind donations. The second study is the Brazilian operation to receive, shelter, and internalise Venezuelans in Brazil. Since the flow of Venezuelans to Brazil has grown and, the pandemic aftermath presents itself as a concern for the operation capacity, Operation Welcome is modelled to understand the bottlenecks for its scalability. As a result, we demonstrate that: (i) the internalization process is a bottleneck as in addition to the necessary logistics, it is necessary the socio-economical insertion (through job vacancies, for example); (ii) shelters capacity is an operation bottleneck, as it presents a queue of vulnerable Venezuelans waiting to be sheltered.