Centro de Estudos de Gestão, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, Lisboa, Portugal
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Publications Show all
A simulation-optimization approach to integrate process design and planning decisions under technical and market uncerta...
Published in Computers & Chemical Engineering
This study addresses the product-launch planning problem in the chemical-pharmaceutical industry under technical and market uncertainties, and considering resource limitations associated to the need of processing in the same plant products under development and products in commercialization. A novel approach is developed by combining a mixed intege...
Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty
Published in Computer Aided Chemical Engineering
This paper presents an innovative approach to solve the product-launch planning problem in the pharmaceutical industry, with uncertainty on the product demand and on clinical trials. A mixed integer linear programming (MILP) model, incorporating Monte Carlo simulation (MCS), was developed for optimizing the process design (process-unit allocation a...
On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix
Published in Computer Aided Chemical Engineering
The manufacturing of pharmaceutical products is preceded by complex development phases where process design, planning, and scheduling problems must be considered as deeply linked, fact that has not yet been adequately handled by the existing literature. In this perspective, this work discusses the role of the production planning and scheduling deci...
Recent Trends and Challenges in Planning and Scheduling of Chemical-Pharmaceutical Plants
Published in Studies in Big Data
This paper discusses the current trends in optimization methods for solving planning and scheduling problems in the chemical-pharmaceutical industry. The challenges of this industry and the recent advances in modeling these problems show that optimization methods need to provide highly integrated solutions encompassing decision-making at both R&D a...
