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Ana Paula Barbosa-Póvoa
Researcher at Instituto Superior Técnico
Publications - 314
Citations - 8514
Ana Paula Barbosa-Póvoa is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Supply chain & Scheduling (production processes). The author has an hindex of 43, co-authored 300 publications receiving 6757 citations. Previous affiliations of Ana Paula Barbosa-Póvoa include Technical University of Lisbon & Universidade Nova de Lisboa.
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An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty
TL;DR: A generalized model for the design of a generic reverse logistics network where capacity limits, multi-product management and uncertainty on product demands and returns are considered is proposed.
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Towards supply chain sustainability: economic, environmental and social design and planning
TL;DR: In this article, a generic multi-objective mathematical programming model for the design and planning of supply chains, integrating the three dimensions of sustainability is presented, and a social indicator appropriate to assess strategic decisions is proposed.
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Opportunities and challenges in sustainable supply chain: An operations research perspective
TL;DR: It was verified that sustainability has been mainly tackled by assessing economic and environmental aspects, leaving behind the social aspects, and it was found that optimization models applied to strategic level decisions are the most preponderant studies.
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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.
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Supply Chain Resilience: Definitions and quantitative modelling approaches – A literature review
TL;DR: A systematic literature review on SC resilience, focusing on the analysis of the development of quantitative methods to support resilient supply chain decisions, found that there is no consensus in the literature and it was concluded that the use of quantitative models should be further researched.