S
Sónia R. Cardoso
Researcher at University of Lisbon
Publications - 21
Citations - 530
Sónia R. Cardoso is an academic researcher from University of Lisbon. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 6, co-authored 21 publications receiving 440 citations. Previous affiliations of Sónia R. Cardoso include Instituto Superior Técnico & Technical University of Lisbon.
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Journal ArticleDOI
Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty
TL;DR: A mixed integer linear programming (MILP) formulation is developed for the design and planning of supply chains with reverse flows while considering simultaneously production, distribution and reverse logistics activities and its applicability is demonstrated.
Journal ArticleDOI
Resilience metrics in the assessment of complex supply-chains performance operating under demand uncertainty
TL;DR: A design and planning model that integrates demand uncertainty is applied to five supply chain structures that are submitted to different types of disruptions, resulting in the incorporation of two sources of uncertainty.
Journal ArticleDOI
Integrating financial risk measures into the design and planning of closed-loop supply chains
TL;DR: A mixed integer linear programming (MILP) formulation is proposed that integrates financial risk measures into the design and planning of closed-loop supply chains, considering demand uncertainty of final products.
Journal ArticleDOI
Green Light for Climate-friendly Food Transitions? Communicating Legal Innovation Increases Consumer Support for Meat Curtailment Policies
TL;DR: In light of increasing calls for environmental policies that reduce meat consumption and promote more plant-based diets (i.e., Meat Curtailment Policies, MCPs), this paper aimed to increase knowledg...
Book ChapterDOI
Resilience assessment of supply chains under different types of disruption
TL;DR: In this article, a Mixed Integer Linear model is applied to both forward and closed-loop supply chains, and the systems behavior analyzed when facing several types of disruption, such as uncertainty in demands and uncertainty in disruptions occurrence.