Twelve quick tips for designing sound dynamical models for bioprocesses

International audienceBecause of the inherent complexity of bioprocesses, mathematical models are more and 1 more used for process design, control and optimization etc... These models are generally 2 based on a set of biochemical reactions. Model equations are then derived from mass balance, 3 coupled to empirical kinetics. Biological models are nonlinear and represent processes, 4 which by essence are dynamic and adaptive. The temptation to embed most of the biology 5 is high, with the risk that calibration would not be significant anymore. The most important 6 task for a modeler is thus to ensure a balance between model complexity and ease of use. 7 Since a model should be tailored to the objectives which will depend on applications and 8 environment, a universal model representing any possible situation is probably not the best 9 option. 10 Here are twelve tips to develop your own bioprocess model. For more details on bioprocess 11 modelling, the readers could refer to [1]. More tips concerning computational aspects can 12 be found in [2, 3]

Considering stakeholders’ preferences for scheduling slots in capacity constrained airports

Airport slot scheduling has attracted the attention of researchers as a capacity management tool at congested airports. Recent research work has employed multi-objective approaches for scheduling slots at coordinated airports. However, the central question on how to select a commonly accepted airport schedule remains. The various participating stakeholders may have multiple and sometimes conflicting objectives stemming from their decision-making needs. This complex decision environment renders the identification of a commonly accepted solution rather difficult. In this presentation, we propose a multi-criteria decision-making technique that incorporates the priorities and preferences of the stakeholders in order to determine the best compromise solution

Reports to the President

A compilation of annual reports for the 1989-1990 academic year, including a report from the President of the Massachusetts Institute of Technology, as well as reports from the academic and administrative units of the Institute. The reports outline the year's goals, accomplishments, honors and awards, and future plans