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In this work, a novel optimisation-simulation based on the Recursive Optimisation-Simulation Approach (ROSA) methodology is developed to provide effective decision-support for integrated production planning and scheduling. The proposed iterative approach optimises production plans while satisfying complex scheduling constraints, such as robots' allocation in collaborative tasks. The plans are determined through a two-level MILP model and are iteratively evaluated by a detailed discrete-event simulation model to guarantee capacity-feasible solutions at the scheduling level. Through an industrial case study of a multistage assembly line design collaboratively operated by humans and mobile shared robots, near-optimal solutions comprise lot-sizing decisions, the release schedule of production orders, the allocation of tasks to humans or robots, and the number of robots per period. Moreover, by addressing a set of propositions to assess the methodology, the results highlight the advantages of the hybrid approach to converge into optimised operational decisions and analyse the process dynamics.
Miguel Vieira; Samuel Moniz; Bruno S. Gonçalves; Tânia Pinto-Varela; Ana Paula Barbosa-Póvoa; Pedro Neto. A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line. International Journal of Production Research 2021, 1 -21.
AMA StyleMiguel Vieira, Samuel Moniz, Bruno S. Gonçalves, Tânia Pinto-Varela, Ana Paula Barbosa-Póvoa, Pedro Neto. A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line. International Journal of Production Research. 2021; ():1-21.
Chicago/Turabian StyleMiguel Vieira; Samuel Moniz; Bruno S. Gonçalves; Tânia Pinto-Varela; Ana Paula Barbosa-Póvoa; Pedro Neto. 2021. "A two-level optimisation-simulation method for production planning and scheduling: the industrial case of a human–robot collaborative assembly line." International Journal of Production Research , no. : 1-21.
The chemical-pharmaceutical sector is facing an unprecedented fast-changing environment, with new market and technological trends impacting the companies’ operational strategies. Managing the pharmaceutical supply chain (PSC) operations is, therefore, ever more complex and challenging. The goal of this work is to present a comprehensive overview of the current state of the industry and research developments; and then, to develop a new decision-making reference framework to assist in the creation of optimization-based decision support models. This will be achieved through a multi-perspective analysis that encompasses strategic and tactical planning decision-making, in the current and future business context of the chemical-pharmaceutical industry. The findings reveal a lack of research addressing the most prominent trends currently driving this sector, such as patient centricity or new technological developments, thus highlighting the disruptive nature of the expected changes in a highly conservative industry.
Catarina M. Marques; Samuel Moniz; Jorge Pinho de Sousa; Ana Paula Barbosa-Povoa; Gintaras Reklaitis. Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions. Computers & Chemical Engineering 2019, 134, 106672 .
AMA StyleCatarina M. Marques, Samuel Moniz, Jorge Pinho de Sousa, Ana Paula Barbosa-Povoa, Gintaras Reklaitis. Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions. Computers & Chemical Engineering. 2019; 134 ():106672.
Chicago/Turabian StyleCatarina M. Marques; Samuel Moniz; Jorge Pinho de Sousa; Ana Paula Barbosa-Povoa; Gintaras Reklaitis. 2019. "Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions." Computers & Chemical Engineering 134, no. : 106672.
The development of hybrid simulation-optimization methods has allowed to explore the complexities of planning and scheduling problems. In this work, a simulation-optimization approach is developed to provide decision-support to industrial processes, combining a mathematical formulation with a detailed discrete-event simulation model. To solve industrial planning and scheduling problems, the methodology iteratively estimates the modelling parameters to maximize the output in a multistage production facility, while guaranteeing allocation constraints and main process uncertainties to satisfy the demand. The production plan is evaluated at the MILP model and the capacity-feasible schedule is generated by the dispatching rules in the simulation model. Results highlight the advantages of the hybrid approach to guarantee optimized process performance metrics in a simulated operational planning.
Miguel Vieira; Samuel Moniz; Bruno Gonçalves; Tânia Pinto-Varela; Ana Barbosa-Povoa. Integrating Simulation and Optimization for Process Planning and Scheduling Problems. Computer Aided Chemical Engineering 2019, 46, 1441 -1446.
AMA StyleMiguel Vieira, Samuel Moniz, Bruno Gonçalves, Tânia Pinto-Varela, Ana Barbosa-Povoa. Integrating Simulation and Optimization for Process Planning and Scheduling Problems. Computer Aided Chemical Engineering. 2019; 46 ():1441-1446.
Chicago/Turabian StyleMiguel Vieira; Samuel Moniz; Bruno Gonçalves; Tânia Pinto-Varela; Ana Barbosa-Povoa. 2019. "Integrating Simulation and Optimization for Process Planning and Scheduling Problems." Computer Aided Chemical Engineering 46, no. : 1441-1446.
This study presents an assessment of the main research problems addressed in the literature on New Product Development (NPD) and its methodologies, for the pharmaceutical industry. The work is particularly focused on the establishment of an evolutionary perspective of the relevant modelling approaches, and on identifying the main current research challenges, considering the fast-changing business context of the industry. Main findings suggest a generalized misalignment of recent studies with today’s technological and market trends, highlighting the need for new modelling strategies.
Catarina M. Marques; Samuel Moniz; Jorge Pinho De Sousa. Challenges in Decision-Making Modelling for New Product Development in the Pharmaceutical Industry. Computer Aided Chemical Engineering 2019, 46, 1411 -1416.
AMA StyleCatarina M. Marques, Samuel Moniz, Jorge Pinho De Sousa. Challenges in Decision-Making Modelling for New Product Development in the Pharmaceutical Industry. Computer Aided Chemical Engineering. 2019; 46 ():1411-1416.
Chicago/Turabian StyleCatarina M. Marques; Samuel Moniz; Jorge Pinho De Sousa. 2019. "Challenges in Decision-Making Modelling for New Product Development in the Pharmaceutical Industry." Computer Aided Chemical Engineering 46, no. : 1411-1416.
Isabela Maganha; Cristovao Silva; Nathalie Klement; Amélie Beauville Dit Eynaud; Laurent Durville; Samuel Moniz. Hybrid optimisation approach for sequencing and assignment decision-making in reconfigurable assembly lines. IFAC-PapersOnLine 2019, 52, 1367 -1372.
AMA StyleIsabela Maganha, Cristovao Silva, Nathalie Klement, Amélie Beauville Dit Eynaud, Laurent Durville, Samuel Moniz. Hybrid optimisation approach for sequencing and assignment decision-making in reconfigurable assembly lines. IFAC-PapersOnLine. 2019; 52 (13):1367-1372.
Chicago/Turabian StyleIsabela Maganha; Cristovao Silva; Nathalie Klement; Amélie Beauville Dit Eynaud; Laurent Durville; Samuel Moniz. 2019. "Hybrid optimisation approach for sequencing and assignment decision-making in reconfigurable assembly lines." IFAC-PapersOnLine 52, no. 13: 1367-1372.
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 first-stage (here-and-now) solutions where uncertainty has not yet been revealed. This study extends the authors’ previous work addressing the stochastic product-launch planning problem, by developing a new Multi-Objective Integer Programming model, embedded in a unified decision-making framework, to obtain the final design strategy that “maximizes” productivity while considering the decision-maker preferences. An approximation of the efficient Pareto-front is determined, and a subsequent Pareto solutions analysis is made to guide the decision process. The developed approach clearly identifies the process designs and production capacities that “maximize” productivity as well as the most promising solutions region for investment. Moreover, a good balance between investment and capacity allocation was achieved.
Catarina M. Marques; Samuel Moniz; Jorge Pinho de Sousa. Strategic decision-making in the pharmaceutical industry: A unified decision-making framework. Computers & Chemical Engineering 2018, 119, 171 -189.
AMA StyleCatarina M. Marques, Samuel Moniz, Jorge Pinho de Sousa. Strategic decision-making in the pharmaceutical industry: A unified decision-making framework. Computers & Chemical Engineering. 2018; 119 ():171-189.
Chicago/Turabian StyleCatarina M. Marques; Samuel Moniz; Jorge Pinho de Sousa. 2018. "Strategic decision-making in the pharmaceutical industry: A unified decision-making framework." Computers & Chemical Engineering 119, no. : 171-189.
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 mathematical programming model with a discrete-event simulation model, in order to provide optimal a production schedule regarding line efficiency and number of robotic resources required. This hybrid approach proposes an optimization model to provide the initial production planning for a set of products, while the detailed simulation model iteratively validates a capacity-feasible schedule with the effective workload and utilization of workstations. The results discuss the advantages of this hybrid methodology to improve overall process performance metrics towards the operational optimization of real-world flexible manufacturing systems.
Miguel Vieira; Ana Barbosa-Povoa; Samuel Moniz; Tânia Pinto-Varela. Simulation-Optimization Approach for the Decision-Support on the Planning and Scheduling of Automated Assembly Lines. 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO) 2018, 265 -269.
AMA StyleMiguel Vieira, Ana Barbosa-Povoa, Samuel Moniz, Tânia Pinto-Varela. Simulation-Optimization Approach for the Decision-Support on the Planning and Scheduling of Automated Assembly Lines. 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO). 2018; ():265-269.
Chicago/Turabian StyleMiguel Vieira; Ana Barbosa-Povoa; Samuel Moniz; Tânia Pinto-Varela. 2018. "Simulation-Optimization Approach for the Decision-Support on the Planning and Scheduling of Automated Assembly Lines." 2018 13th APCA International Conference on Control and Soft Computing (CONTROLO) , no. : 265-269.
Catarina Marques; Samuel Moniz; Jorge Pinho de Sousa; Ana Barbosa-Povoa. A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry. Computers & Chemical Engineering 2017, 106, 796 -813.
AMA StyleCatarina Marques, Samuel Moniz, Jorge Pinho de Sousa, Ana Barbosa-Povoa. A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry. Computers & Chemical Engineering. 2017; 106 ():796-813.
Chicago/Turabian StyleCatarina Marques; Samuel Moniz; Jorge Pinho de Sousa; Ana Barbosa-Povoa. 2017. "A simulation-optimization approach to integrate process design and planning decisions under technical and market uncertainties: A case from the chemical-pharmaceutical industry." Computers & Chemical Engineering 106, no. : 796-813.
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 limitations, and the track-control of the production/campaign lots due to regulatory policies. A new mixed integer linear programing (MILP) model, based on a Resource Task Network (RTN) continuous time single-grid formulation, is developed to comprise the integration of all these features. The performance of the model features is discussed with the resolution of a set of industrial problems with different data sets and process layouts, demonstrating the wide application of the proposed formulation. It is also performed a comparison with a related literature model, showing the advantages of the continuous-time approach and the generality of our model for the optimal production management of biopharmaceutical processes.
Miguel Vieira; Tânia Pinto-Varela; Samuel Moniz; Ana P. Barbosa-Póvoa; Lazaros G. Papageorgiou. Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation. Computers & Chemical Engineering 2016, 91, 422 -444.
AMA StyleMiguel Vieira, Tânia Pinto-Varela, Samuel Moniz, Ana P. Barbosa-Póvoa, Lazaros G. Papageorgiou. Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation. Computers & Chemical Engineering. 2016; 91 ():422-444.
Chicago/Turabian StyleMiguel Vieira; Tânia Pinto-Varela; Samuel Moniz; Ana P. Barbosa-Póvoa; Lazaros G. Papageorgiou. 2016. "Optimal planning and campaign scheduling of biopharmaceutical processes using a continuous-time formulation." Computers & Chemical Engineering 91, no. : 422-444.
Catarina M. Marques; Samuel Moniz; Jorge Pinho De Sousa; Ana Paula Barbosa-Póvoa. Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2016, 421 -426.
AMA StyleCatarina M. Marques, Samuel Moniz, Jorge Pinho De Sousa, Ana Paula Barbosa-Póvoa. Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2016; ():421-426.
Chicago/Turabian StyleCatarina M. Marques; Samuel Moniz; Jorge Pinho De Sousa; Ana Paula Barbosa-Póvoa. 2016. "Optimization and Monte Carlo Simulation for Product Launch Planning under Uncertainty." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering , no. : 421-426.
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 and Operations levels. The heterogeneous demand, characteristic of the complex drug development cycle, asks for mixed planning strategies capable of increasing the resources utilization and the plant output, and of dealing with uncertainty.
Samuel Moniz; Ana Paula Barbosa-Póvoa; Jorge Pinho de Sousa. Recent Trends and Challenges in Planning and Scheduling of Chemical-Pharmaceutical Plants. Studies in Big Data 2015, 123 -130.
AMA StyleSamuel Moniz, Ana Paula Barbosa-Póvoa, Jorge Pinho de Sousa. Recent Trends and Challenges in Planning and Scheduling of Chemical-Pharmaceutical Plants. Studies in Big Data. 2015; ():123-130.
Chicago/Turabian StyleSamuel Moniz; Ana Paula Barbosa-Póvoa; Jorge Pinho de Sousa. 2015. "Recent Trends and Challenges in Planning and Scheduling of Chemical-Pharmaceutical Plants." Studies in Big Data , no. : 123-130.
Samuel Moniz; Ana Paula Barbosa-Povoa; Jorge Pinho De Sousa. On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2015, 37, 1865 -1870.
AMA StyleSamuel Moniz, Ana Paula Barbosa-Povoa, Jorge Pinho De Sousa. On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2015; 37 ():1865-1870.
Chicago/Turabian StyleSamuel Moniz; Ana Paula Barbosa-Povoa; Jorge Pinho De Sousa. 2015. "On the complexity of production planning and scheduling in the pharmaceutical industry: the Delivery Trade-offs Matrix." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 37, no. : 1865-1870.
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) model are developed and applied to solve a real world scheduling problem from the chemical–pharmaceutical industry. The main advantage of this approach is that it includes a general process representation that can be used across several departments of the company. Moreover, we also discuss development and implementation challenges of optimization methods for the process industry, and we provide some guidelines to mitigate existing problematic issues in this domain.
Samuel Moniz; Ana Paula Barbosa-Póvoa; Jorge Pinho de Sousa; Pedro Duarte. Solution Methodology for Scheduling Problems in Batch Plants. Industrial & Engineering Chemistry Research 2014, 53, 19265 -19281.
AMA StyleSamuel Moniz, Ana Paula Barbosa-Póvoa, Jorge Pinho de Sousa, Pedro Duarte. Solution Methodology for Scheduling Problems in Batch Plants. Industrial & Engineering Chemistry Research. 2014; 53 (49):19265-19281.
Chicago/Turabian StyleSamuel Moniz; Ana Paula Barbosa-Póvoa; Jorge Pinho de Sousa; Pedro Duarte. 2014. "Solution Methodology for Scheduling Problems in Batch Plants." Industrial & Engineering Chemistry Research 53, no. 49: 19265-19281.
Samuel Moniz; Ana Barbosa-Povoa; Jorge Pinho de Sousa. Simultaneous regular and non-regular production scheduling of multipurpose batch plants: A real chemical–pharmaceutical case study. Computers & Chemical Engineering 2014, 67, 83 -102.
AMA StyleSamuel Moniz, Ana Barbosa-Povoa, Jorge Pinho de Sousa. Simultaneous regular and non-regular production scheduling of multipurpose batch plants: A real chemical–pharmaceutical case study. Computers & Chemical Engineering. 2014; 67 ():83-102.
Chicago/Turabian StyleSamuel Moniz; Ana Barbosa-Povoa; Jorge Pinho de Sousa. 2014. "Simultaneous regular and non-regular production scheduling of multipurpose batch plants: A real chemical–pharmaceutical case study." Computers & Chemical Engineering 67, no. : 83-102.
Cristóvão Sousa; António Soares; Carla Pereira; Samuel Moniz. Establishing Conceptual Commitments in the Development of Ontologies through Competency Questions and Conceptual Graphs. Transactions on Petri Nets and Other Models of Concurrency XV 2014, 626 -635.
AMA StyleCristóvão Sousa, António Soares, Carla Pereira, Samuel Moniz. Establishing Conceptual Commitments in the Development of Ontologies through Competency Questions and Conceptual Graphs. Transactions on Petri Nets and Other Models of Concurrency XV. 2014; ():626-635.
Chicago/Turabian StyleCristóvão Sousa; António Soares; Carla Pereira; Samuel Moniz. 2014. "Establishing Conceptual Commitments in the Development of Ontologies through Competency Questions and Conceptual Graphs." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 626-635.
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 based on the State-Task Network (STN) is proposed, with new types of constraints for modeling changeovers and storage. We also propose some model extensions for addressing changeovers start; nonpreemptive lots; lots start and sizes; alternative task-unit and task-unit-layout assignments. Computational tests have shown that the proposed model is more effective than a similar model based on the Resource-Task Network (RTN).
Samuel Moniz; Ana Paula Barbosa-Póvoa; Jorge Pinho de Sousa. New General Discrete-Time Scheduling Model for Multipurpose Batch Plants. Industrial & Engineering Chemistry Research 2013, 52, 17206 -17220.
AMA StyleSamuel Moniz, Ana Paula Barbosa-Póvoa, Jorge Pinho de Sousa. New General Discrete-Time Scheduling Model for Multipurpose Batch Plants. Industrial & Engineering Chemistry Research. 2013; 52 (48):17206-17220.
Chicago/Turabian StyleSamuel Moniz; Ana Paula Barbosa-Póvoa; Jorge Pinho de Sousa. 2013. "New General Discrete-Time Scheduling Model for Multipurpose Batch Plants." Industrial & Engineering Chemistry Research 52, no. 48: 17206-17220.
Samuel Moniz; Ana P. Barbosa-Póvoa; Jorge P. Sousa. Regular and non-regular production scheduling of multipurpose batch plants. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 2012, 30, 767 -771.
AMA StyleSamuel Moniz, Ana P. Barbosa-Póvoa, Jorge P. Sousa. Regular and non-regular production scheduling of multipurpose batch plants. 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering. 2012; 30 ():767-771.
Chicago/Turabian StyleSamuel Moniz; Ana P. Barbosa-Póvoa; Jorge P. Sousa. 2012. "Regular and non-regular production scheduling of multipurpose batch plants." 16th European Symposium on Computer Aided Process Engineering and 9th International Symposium on Process Systems Engineering 30, no. : 767-771.
Gustavo Delmarco; Thais Russomano; Alyson Calder; Felipe Falcão; Dario F.G. Azevedo; Subhajit Sarkar; Simon Evetts; Samuel Moniz. Evaluation of External Cardiac Massage Performance During Hypogravity Simulation. Encyclopedia of Healthcare Information Systems 2011, 551 -560.
AMA StyleGustavo Delmarco, Thais Russomano, Alyson Calder, Felipe Falcão, Dario F.G. Azevedo, Subhajit Sarkar, Simon Evetts, Samuel Moniz. Evaluation of External Cardiac Massage Performance During Hypogravity Simulation. Encyclopedia of Healthcare Information Systems. 2011; ():551-560.
Chicago/Turabian StyleGustavo Delmarco; Thais Russomano; Alyson Calder; Felipe Falcão; Dario F.G. Azevedo; Subhajit Sarkar; Simon Evetts; Samuel Moniz. 2011. "Evaluation of External Cardiac Massage Performance During Hypogravity Simulation." Encyclopedia of Healthcare Information Systems , no. : 551-560.
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 a vital skill in critical care medicine, plans must be in place for cardiopulmonary resuscitation in both microgravity and hypogravity (i.e., on the surface of the Moon or Mars). Following the design of a body suspension device to simulate a hypogravity environment, subjects performed external chest compressions in 1G, 0.17G (Lunar), 0.38G (Mars), and 0.7G (Planet X). Chest compression adequacy was assessed by means of rate and depth. Heart rate immediately before and after three minutes of chest compression gave a measure of rescuer fatigue. Elbow flexion was measured using an electrogoniometer in order to assess the use of arm muscles to achieve chest compressions. This study found that the mean depth (Lunar and Mars) and rate (Mars) of chest compression was below American Heart Association recommendations during hypogravity simulation in the female group. Furthermore, elbow flexion proved to be significantly greater during Lunar and Mars hypogravity simulation than that of the 1G control condition, suggesting that upper arm force may be used to counter the loss of body weight in an attempt to maintain adequate chest compression under these conditions.
Gustavo Delmarco; Thais Russomano; Alyson Calder; Felipe Falcão; Dario F.G. Azevedo; Subhajit Sarkar; Simon Evetts; Samuel Moniz. Evaluation of External Cardiac Massage Performance During Hypogravity Simulation. Encyclopedia of Healthcare Information Systems 2008, 551 -560.
AMA StyleGustavo Delmarco, Thais Russomano, Alyson Calder, Felipe Falcão, Dario F.G. Azevedo, Subhajit Sarkar, Simon Evetts, Samuel Moniz. Evaluation of External Cardiac Massage Performance During Hypogravity Simulation. Encyclopedia of Healthcare Information Systems. 2008; ():551-560.
Chicago/Turabian StyleGustavo Delmarco; Thais Russomano; Alyson Calder; Felipe Falcão; Dario F.G. Azevedo; Subhajit Sarkar; Simon Evetts; Samuel Moniz. 2008. "Evaluation of External Cardiac Massage Performance During Hypogravity Simulation." Encyclopedia of Healthcare Information Systems , no. : 551-560.
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 place for cardiopulmonary resuscitation in both microgravity and hypogravity (i.e. on the surface of the Moon or Mars). Following the design of a body suspension device to simulate a hypogravity environment, subjects performed external chest compressions in 1G, 0.17G (Lunar), 0.38G (Mars) and 0.7G ('Planet X'). Chest compression adequacy was assessed by means of rate and depth. Heart rate immediately before and after 3 minutes of chest compression gave a measure of rescuer fatigue. Elbow flexion was measured using an electrogoniometer in order to assess the use of arm muscles to achieve chest compressions. This study found that depth (Lunar and Mars) and rate (Mars) of chest compression was below American Heart Association recommendations during hypogravity simulation in the female group. Furthermore, elbow flexion proved to be significantly greater during Lunar and Mars hypogravity simulation than that of the 1G control condition, suggesting that upper arm force may be used to counter the loss of body weight in an attempt to maintain adequate chest compression under these conditions
Gustavo Dalmarco; Alyson Calder; Felipe Falcão; Dario F. G De Azevedo; Subhajit Sarkar; Simon Evetts; Samuel Moniz; Thais Russomano; Sarkar Evetts. Evaluation of External Cardiac Massage Performance During Hypogravity Simulation. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2006, 1, 2904 -2907.
AMA StyleGustavo Dalmarco, Alyson Calder, Felipe Falcão, Dario F. G De Azevedo, Subhajit Sarkar, Simon Evetts, Samuel Moniz, Thais Russomano, Sarkar Evetts. Evaluation of External Cardiac Massage Performance During Hypogravity Simulation. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2006; 1 ():2904-2907.
Chicago/Turabian StyleGustavo Dalmarco; Alyson Calder; Felipe Falcão; Dario F. G De Azevedo; Subhajit Sarkar; Simon Evetts; Samuel Moniz; Thais Russomano; Sarkar Evetts. 2006. "Evaluation of External Cardiac Massage Performance During Hypogravity Simulation." 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 1, no. : 2904-2907.