Published in Computers & Chemical Engineering
The implementation of efficient strategic decisions such as process design and capacity investment under uncertainty, during the product development process, is critical for the pharmaceutical industry. However, to tackle these problems the widely used multi-stage/scenario-based optimization formulations are still ineffective, especially for the fi...
Published in 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO)
This work explores a decision-support solution for the management of advanced flexible manufacturing systems operated by mobile robotic resources with a simulation-optimization methodology for the production planning and scheduling of automated assembly lines. The methodology explores an iterative procedure based on literature combining a mathemati...
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...
Published in Computers & Chemical Engineering
This work addresses the optimal planning and campaign scheduling of biopharmaceutical manufacturing processes, considering multiple operational characteristics, such as the campaign schedule of batch and/or continuous process steps, multiple intermediate deliveries, sequence dependent changeovers operations, product storage restricted to shelf-life...
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...
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...
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...
Published in Industrial & Engineering Chemistry Research
This paper proposes a solution methodology for the production scheduling of batch plants. The methodology is defined by an integrated approach that simultaneously considers the representation of the scheduling problem, the optimization model, and the decision-making process. A problem representation and a mixed integer linear programing (MILP) mode...
Published in Computers & Chemical Engineering
Regular and non-regular production can often be found in multipurpose batch plants, requiring two distinct operating strategies: campaign and short-term production. This paper proposes a solution approach for simultaneous scheduling of campaign and short-term products in multipurpose batch plants. Regular products follow a cyclic schedule and must ...
The main objective of this thesis was to development scheduling models for multipurpose batch plants operating in the context of the pharmaceutical industry. The production scheduling problem is commonly recognized as being very difficult since it must deal with several potential conflicting objectives. The primary goal of production scheduling is ...
The process of establishing the ontology objectives by the stakeholders is fundamental for the ontology success. This process is unstructured by nature, being a continuum from the initial discussion of the purpose to the first agreed conceptual representation. The inherent (inter) subjectivity of the process and their outcomes together with an exce...
Published in Industrial & Engineering Chemistry Research
This work deals with the optimal short-term scheduling of general multipurpose batch plants, considering multiple operational characteristics such as sequence-dependent changeovers, temporary storage in the processing units, lots blending, and material flows traceability. A novel Mixed Integer Linear Programming (MILP) discrete-time formulation bas...
Published in Computer Aided Chemical Engineering
Published in Computer Aided Chemical Engineering
Regular and non-regular production can often be found in multipurpose batch plants, requiring two distinct operating strategies: campaign and short-term production. This paper describes a sequential approach for the simultaneous scheduling of campaign and short-term products in multipurpose batch plants. Campaign products follow a periodic scheduli...
Published in Encyclopedia of Healthcare Information Systems
Preservation of astronaut crew health during an exploration mission to the Moon or Mars will be crucial to mission success. The likelihood of a life-threatening medical condition occuring during a mission to Mars has been estimated by NASA to be 1% per year (Johnston, 1998; Johnston, Campbell, Billica, & Gilmore, 2004). Since basic life support is ...
Published in 2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Preservation of astronaut crew health during an exploration mission to the Moon or Mars will be crucial to mission success. The likelyhood of a life threatening medical condition occurring during a mission to Mars has been estimated by NASA to be 1% per year. Since basic life support is a vital skill in critical care medicine, plans must be in plac...
