Sara Ali

Domains

Industrial Engineering and Management Computer Science and Engineering

Projects

DeltaC&P

Project datasheet

Uncertainty in cutting and packing problems: robust planning and optimized replanning in manufacturing and transportation

Produtech_R3

Development of new methodologies, strategies, tools and approaches that will converge in new products, services and innovative systems (production technologies), aligned with the challenges of the circular economy and based on ensuring sustainability, ensuring significant levels of impact, from the start, in this sector and in the most diverse industrial sectors. It incorporates a coherent set of interventions, aimed at the development of products-systems-services, ecosystems of tools and applications, methodologies and strategies, supported by new digitization paradigms, aiming at: Capacity building for the development of new sustainable products (production systems and components). Advanced integration and management of sustainable production systems, zero defects - zero impacts environmental Symbiotic management of production ecosystems and supply chains in a circular context And the implementation of circular and sustainable approaches in manufacturing industry. It results from the action program of the PRODUTECH cluster and from the clustering movement at FTP, comprising core developments of the strategic axis “Mobilization for frontier R&D+I”.

Agenda Mobilizadora da Fileira das Tecnologias de Produção para a Reindustrialização

Publications

Heuristics for online three-dimensional packing problems and algorithm selection framework for semi-online with full look-ahead

Ali, S;Ramos, AG;Carravilla, MA;Oliveira, JF;

2024

APPLIED SOFT COMPUTING

On-line three-dimensional packing problems: A review of off-line and on-line solution approaches

Ali, S;Ramos, AG;Carravilla, MA;Oliveira, JF;

2022

COMPUTERS & INDUSTRIAL ENGINEERING

Centres

Industrial Engineering and Management

The Centre for Industrial Engineering and Management (CEGI) is internationally recognised in the fields of decision science, optimisation, operations management and service engineering. The mission is to support organisations and communities in decision-making by harnessing the power of data to develop robust and sustainable solutions to complex problems. Research at CEGI focuses on real-world challenges like transport planning, supply chain management, healthcare service networks, industrial operations optimisation, disaster response and recovery, and the impact assessment of public policies. By resorting to Artificial Intelligence, data science and mathematical modelling, CEGI aims to understand system behaviours, improve process efficiency, increase organisational resilience, and anticipate the effects of decisions in uncertain contexts. CEGI operates across critical sectors including mobility, healthcare, retail, industry, energy, and services, focusing on digital transition and sustainability. We collaborate with academia, companies, municipal authorities, hospitals, and regulators, transforming scientific knowledge into applied solutions. We believe that evidence-based management is key to tackling the challenges of a constantly changing world.