Supply Chain, LOgistics and Transportation Systems (SLOTS) Research Group comprises a highly skilled research team which works at innovative approaches to cope with complex issues that arise both in industrial and transportation systems. These issues are addressed by developing, studying and applying innovative concepts, methods, decision support models and algorithms, based on an organizational continuous improvement perspective, towards high levels of Excellence. To achieve this, our research is structured around the following domains:
- Supply Chain Management: to develop models and methods which can support the design of sustainable supply chain networks and innovative strategies in order to face increasing dynamic supply and deliver requirements, increasing demand for higher levels of integration both functional and organizational and increasing pressure for cost optimization and total quality management and business excellence approaches implementation. In this context, integrated approaches based on Supply Chain Quality Management and Supply Chain Cost Management will be developed to address supply chain management issues;
- Logistics: research is focused on warehouse and inventory management applications and their contribution to strategic supply chain management;
- Flexible Industries: manufacturing industries worldwide are experiencing increasing demand of products characterized by higher complexity and diversity from existent and new markets, which require continuous and dynamic changes in product design tools, buyer-supplier relationships, sophisticated production planning and control approaches, new and innovative production and business flows;
- Transportations Systems: it considers the development of solutions for urban systems, integrated mobility (intermodality) – people and freight – and the promotion of interoperability of public transport modes and other services.
Modelling and simulation: provide the underlying support to improve both efficiency and flexibility, enhancing existent, new and innovative industrial and transportations systems performance. The development and integration of different modeling approaches, such as heuristics and simulation, is to be pursued.
SLOTS leader: Sameiro Carvalho
SLOTS Links:
Recent SLOTS Publications:
- Turning knowledge into business ideas: Insights from the idealab business accelerator
Moura, H.; Catarino, M.; Afonso, P.; Nunes, M.
Lecture Notes in Electrical Engineering, 2019

- Spare parts cost management for long-term economic sustainability: Using fuzzy activity based LCC
Dur\'an, O.; Afonso, P.S.; Dur\'an, P.A.
Sustainability (Switzerland), 2019

- A ranking of the most known freeware and open source discrete-event simulation tools
Vieira, A.A.C.; Dias, L.M.S.; Santos, M.Y.; Pereira, G.A.B.&sem
31st European Modeling and Simulation Symposium, EMSS 2019, 2019

- Genetic algorithms for the non emergency patients transport service
Oliveira, J.A.; Ferreira, J.; Figueiredo, M.; Dias, L.S.; Pereira, G.A.B&peri
Advances in Intelligent Systems and Computing, 2019

- Integer programming model for ship loading management: A case study from cement industry
Fonseca, J.; Alves, R.; Macedo, A.R.; Oliveira, J.A.; Pereira, G.; Carvalho&com
Lecture Notes in Electrical Engineering, 2019

- Towards an Integrated Framework for Aerospace Supply Chain Sustainability
Barbosa, C.; Falc\~ao e Cunha, N.; Malarranha, C.; Pinto, T.; Carvalho, A.; Amorim, P&
Springer Proceedings in Mathematics and Statistics, 2019

- A novel application of pre-signals to improve the performance of signalized intersections: Evaluation through simulation
Vieira, A.A.C.; Dias, L.M.S.; Pereira, G.A.B.; Oliveira, J.A.
31st European Modeling and Simulation Symposium, EMSS 2019, 2019

- Combining simulation and optimization models on a production line problem: A case study
Vieira, A.A.C.; Guilherme, E.; Oliveira, J.A.; Dias, L.M.S.; Pereira,
31st European Modeling and Simulation Symposium, EMSS 2019, 2019

- Simulation of an automotive supply chain using big data
Vieira, A.A.C.; Dias, L.M.S.; Santos, M.Y.; Pereira, G.A.B.&sem
Computers and Industrial Engineering, 2019

- An activity based costing decision model for life cycle economic assessment in spare parts logistic management
Duran, O.; Afonso, P.S.L.P.
International Journal of Production Economics, 2019

- Supply Chain Simulation in a Big Data Context: Risks and Uncertainty Analysis
Vieira, A.A.C.; Dias, L.M.S.; Santos, M.Y.; Pereira, G.A.B.&sem
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2019

- Implementation of a Multi-Agent System to Support ZDM Strategies in Multi-Stage Environments
Barbosa, J.; Leitao, P.; Ferreira, A.; Queiroz, J.; Geraldes, C.A.S.; Coelho&co
Proceedings - IEEE 16th International Conference on Industrial Informatics, INDIN 2018, 2018

- Data requirements elicitation in big data warehousing
Vieira, A.A.C.; Pedro, L.; Santos, M.Y.; Fernandes, J.M.; Dias, L.S&am
Lecture Notes in Business Information Processing, 2019

- Multi-agent System Architecture for Zero Defect Multi-stage Manufacturing
Leit\~ao, P.; Barbosa, J.; Geraldes, C.A.S.; Coelho, J.P.
Studies in Computational Intelligence, 2018

- Supply chain hybrid simulation: From Big Data to distributions and approaches comparison
Vieira, A.A.C.; Dias, L.M.S.; Santos, M.Y.; Pereira, G.A.B.&sem
Simulation Modelling Practice and Theory, 2019
