Miguel Vieira
Miguel Vieira
University of Coimbra - FCTUC; CEG-IST, University of Lisbon
Verified email at tecnico.ulisboa.pt
Title
Cited by
Cited by
Year
Production and maintenance planning optimisation in biopharmaceutical processes under performance decay using a continuous-time formulation: A multi-objective approach
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
Computers & Chemical Engineering 107, 111-139, 2017
232017
Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation
M Vieira, T Pinto-Varela, S Moniz, AP Barbosa-Póvoa, LG Papageorgiou
Computers & Chemical Engineering 91, 422-444, 2016
212016
A model-based decision support framework for the optimisation of production planning in the biopharmaceutical industry
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
Computers & Industrial Engineering 129, 354-367, 2019
72019
Simulation-Optimization Approach for the Decision-Support on the Planning and Scheduling of Automated Assembly Lines
M Vieira, AP Barbosa-Póvoa, S Moniz, T Pinto-Varela
2018 13th APCA International Conference on Automatic Control and Soft …, 2018
72018
Planning and scheduling in the biopharmaceutical industry: an overview
M Vieira, T Pinto-Varela, AP Barbosa-Povoa
Synthesis, Design, and Resource Optimization in Batch Chemical Plants, 107-126, 2015
42015
Integrating Simulation and Optimization for Process Planning and Scheduling Problems
M Vieira, S Moniz, B Gonçalves, T Pinto-Varela, AP Barbosa-Póvoa
Computer Aided Chemical Engineering 46, 1441-1446, 2019
32019
Optimisation of maintenance planning into the production of biopharmaceuticals with performance decay using a continuous-time formulation
M Vieira, S Liu, T Pinto-Varela, AP Barbosa-Póvoa, LG Papageorgiou
Computer Aided Chemical Engineering 38, 1749-1754, 2016
32016
Assessment of financial risk in the design and scheduling of multipurpose plants under demand uncertainty
M Vieira, H Paulo, T Pinto-Varela, AP Barbosa-Póvoa
International Journal of Production Research, 1-21, 2020
22020
Periodic versus non-periodic multipurpose batch plant scheduling: a paint industry case study
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
Operational Research, 445-465, 2015
22015
Optimal scheduling of multi-stage multi-product biopharmaceutical processes using a continuoustime formulation
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
Computer Aided Chemical Engineering 33, 301-306, 2014
22014
A study on a Q-Learning algorithm application to a manufacturing assembly problem
M Neves, M Vieira, P Neto
Journal of Manufacturing Systems 59, 426-440, 2021
12021
A study on the financial risk assessment in the design and scheduling of industrial plants
M Vieira, H Paulo, T Pinto-Varela, AP Barbosa-Póvoa
Welcome letter iii, 20, 2019
12019
Risk assessment for the design and scheduling optimization of periodic multipurpose batch plants under demand uncertainty
M Vieira, H Paulo, C Vilard, T Pinto-Varela, AP Barbosa-Póvoa
Computer Aided Chemical Engineering 43, 991-996, 2018
12018
A multi-objective approach on the optimal production and maintenance planning of biopharmaceutical processes under performance decay using a continuous-time formulation
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
FOCAPO/CPC2017 conference, Tucson AZ, USA, 2017
12017
Scheduling batch processes using the RTN discrete time formulation: a case study
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
12013
A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line
M Vieira, S Moniz, BS Gonçalves, T Pinto-Varela, AP Barbosa-Póvoa, ...
International Journal of Production Research, 1-21, 2021
2021
Conditional Value at Risk (CVaR) as a risk measure to support industrial plant design and scheduling decisions under demand uncertainty
M Vieira, H Paulo, T Pinto-Varela, AB Póvoa
XIX Congresso da APDIO 2018, 34-35, 2018
2018
5 Planning and Scheduling in the Biopharmaceutical Industry
M Vieira, T Pinto-Varela, AP Barbosa-Póvoa
Synthesis, Design, and Resource Optimization in Batch Chemical Plants 32 (4 …, 2015
2015
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