HANDLING UNCERTAINTY IN PRODUCTION ACTIVITY CONTROL USING PROACTIVE SIMULATION
نویسندگان
چکیده
منابع مشابه
Handling uncertainty in production activity control using proactive simulation
Simulation is a powerful tool used for a long time as a help to production systems conception. Proactive simulation is a new approach, enabling a precious help to these systems control. In this paper is presented a control architecture enabling the use of this tool, and the obstacles to an optimised development. Copyright © 2006 IFAC
متن کاملProactive production activity control by online simulation
In this paper, we present a new application of Discrete-Event Simulation as a forecasting tool for the decision support of the production activity control of a complex manufacturing system. The specificity of such an application of simulation is the short term of the forecasts. This specificity implies that the initial state of the simulation takes into account the actual state of the system. A...
متن کاملSimulation based uncertainty handling with polyhedral clouds
Past studies of uncertainty handling with polyhedral clouds have already shown strength in dealing with higher dimensional uncertainties in robust optimization, even in case of partial ignorance of statistical information. However, in thousands or more dimensions current implementations would still be computationally too expensive to be useful in real-life applications. In this paper we propose...
متن کاملHandling uncertainty in control of autonomous robots
Autonomous robots need the ability to move purposefully and without human intervention in real-world environments that have not been speciically engineered for them. These environments are characterized by the pervasive presence of uncertainty: the need to cope with this uncertainty constitutes a major challenge for autonomous robots. In this note, we discuss this challenge, and present some sp...
متن کاملProduction Optimization under Uncertainty with Constraint Handling
To maximize the daily production from an oil and gas field, mathematical optimization may be used to find the optimal operating point. When optimizing, a model of the system is used to predict the outcome for different operating points. The model is, however, subject to uncertainty, e.g., the gas oil ratio estimates may be imprecise. The uncertainty is often ignored, and what is known as the ex...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2006
ISSN: 1474-6670
DOI: 10.3182/20060517-3-fr-2903.00297