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Samuel Moniz
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Decision-support challenges in the chemical-pharmaceutical industry: findings and future research directions
CM Marques, S Moniz, J Pinho de Sousa, A Barbosa-Povoa, G Reklaitis
Computers & Chemical Engineering, 2019
662019
Simultaneous regular and non-regular production scheduling of multipurpose batch plants: A real chemical–pharmaceutical case study
S Moniz, AP Barbosa-Póvoa, JP de Sousa
Computers & chemical engineering 67, 83-102, 2014
422014
A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry
CM Marques, S Moniz, JP de Sousa, AP Barbosa-Póvoa
Computers & Chemical Engineering 106, 796-813, 2017
362017
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
362016
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 60 (9), 2942-2962, 2022
312022
New general discrete-time scheduling model for multipurpose batch plants
S Moniz, AP Barbosa-Póvoa, J Pinho de Sousa
Industrial & engineering chemistry research 52 (48), 17206-17220, 2013
282013
Strategic decision-making in the pharmaceutical industry: A unified decision-making framework
CM Marques, S Moniz, JP de Sousa
Computers & Chemical Engineering 119, 171-189, 2018
262018
Solution methodology for scheduling problems in batch plants
S Moniz, AP Barbosa-Póvoa, JP De Sousa, P Duarte
Industrial & engineering chemistry research 53 (49), 19265-19281, 2014
242014
On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix
S Moniz, AP Barbosa-Póvoa, JP de Sousa
Computer Aided Chemical Engineering 37, 1865–1870, 2015
182015
Thirty years of flexible job-shop scheduling: a bibliometric study
P Coelho, A Pinto, S Moniz, C Silva
Procedia Computer Science 180, 787-796, 2021
132021
Hybrid optimisation approach for sequencing and assignment decision-making in reconfigurable assembly lines
I Maganha, C Silva, N Klement, AB dit Eynaud, L Durville, S Moniz
IFAC-PapersOnLine 52 (13), 1367-1372, 2019
132019
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
132018
Challenges in Decision-Making Modelling for New Product Development in the Pharmaceutical Industry
C M. Marques, S Moniz, J Pinho de Sousa
Computer Aided Chemical Engineering, 2019
112019
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, 2019
102019
A Simulation Approach for Spare Parts Supply Chain Management
N Caldas, JP de Sousa, SGS Alcalá, E Frazzon, S Moniz
92019
Recent trends and challenges in planning and scheduling of chemical-pharmaceutical plants
S Moniz, AP Barbosa-Póvoa, JP de Sousa
Operations Research and Big Data: IO2015-XVII Congress of Portuguese …, 2015
82015
Optimal Design of Additive Manufacturing Supply Chains
J Basto, JS Ferreira, SGS Alcalá, E Frazzon, S Moniz
72019
Regular and non-regular production scheduling of multipurpose batch plants
S Moniz, AP Barbosa-Póvoa, JP Sousa
Computer Aided Chemical Engineering 30, 767-771, 2012
42012
Nesting and scheduling optimization of additive manufacturing Systems: Mapping the territory
M Pinto, C Silva, M Thürer, S Moniz
Computers & Operations Research, 2024
22024
A decision-support framework for selecting additive manufacturing technologies
J Maranha, PJ Nascimento, TA Calcerano, C Silva, S Mueller, S Moniz
Journal of Manufacturing Technology Management 34 (7), 1279-1311, 2023
22023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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