scispace - formally typeset
B

Bruna Mota

Researcher at University of Lisbon

Publications -  19
Citations -  572

Bruna Mota is an academic researcher from University of Lisbon. The author has contributed to research in topics: Supply chain & Sustainability. The author has an hindex of 6, co-authored 18 publications receiving 444 citations. Previous affiliations of Bruna Mota include Instituto Superior Técnico & Technical University of Lisbon.

Papers
More filters
Journal ArticleDOI

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.
Journal ArticleDOI

Sustainable supply chains: An integrated modeling approach under uncertainty

TL;DR: ToBLoOM as discussed by the authors is a decision support tool for the design and planning of sustainable supply chains, which consists of a multi-objective mixed integer linear programming model which integrates several interconnected decisions: facility location and capacity determination; supplier selection and purchase levels definition; technology selection and allocation; transportation network definition including both unimodal and intermodal options; supply planning; product recovery and remanufacturing.
Journal ArticleDOI

The Bacterial Protein Azurin Impairs Invasion and FAK/Src Signaling in P-Cadherin-Overexpressing Breast Cancer Cell Models

TL;DR: The data show that azurin specifically targets P- cadherin, not E-cadher in, abrogating P-cADherin-mediated invasive effects and signaling, and could possibly be considered a therapeutic tool to treat poor-prognosis breast carcinomas.
Journal ArticleDOI

Business strategy for sustainable development: Impact of life cycle inventory and life cycle impact assessment steps in supply chain design and planning

TL;DR: In this article, a multiobjective optimization-based methodology is applied to a case study in the pulp and paper industry to identify the uncertainty sources in life cycle methodologies that have the biggest impact in the definition of business and environmental strategies, exploring a supply chain-oriented analysis.
Journal ArticleDOI

An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem

TL;DR: A Lagrangian matheuristic method, called AugMathLagr, is proposed to solve a hard and relevant multi-objective problem found in the literature and shown a competitive performance when compared with an exact multi- objective method limited by time.