Objects. The ~ b s t rac t ~ b j ect forms the fundamental base class for the entire design and all other classes are derived from this base class. The Abstract Object class defines and characterizes all the essential properties every class in this 404 OBJECT-ORIENTED SIMULATION

Handbook of Simulation

Méthodes : Sur une série de 31 femmes présentant des varices périnéales d’origine extrasaphéniennes ayant bénéficié d’une exploration radiologique veineuse pelvienne et de l’embolisation des veines incontinentes nous avons étudié les résultats et les corrélations anatomo-clinique entre les varices et les signes cliniques de l’insuffisance veineuse pelvienne. Un sous-groupe B de 23 patientes présentant une insuffisance veineuse pelvienne et des signes cliniques a été comparé à un groupe A de 4 patientes qui ne présentaient pas d’insuffisance veineuse pelvienne à l’exploration. Nous avons choisi d’étudier 3 signes cliniques : la douleur pelvienne et la douleur des membres inférieurs survenant au début ou pendant les règles ainsi que la dyspareunie. La symptomatologie a été évaluée sur une échelle analogique de 0 à 10 et un score clinique (de 0 à 30) a été établi en ajoutant ces 3 chiffres.

http://link.springer.com/content/pdf/10.1007/BF02973687.pdf

Références bibliographiques: La fibroscopie bronchique

Educational games and simulations are experiential exercises
that transport learners to another world. There they apply their
knowledge, skills, and strategies in the execution of their assigned roles. For example, children may search for vocabulary
cues to capture a wicked wizard (game), or engineers may diagnose the problems in a malfunctioning steam plant (simulation).

Games and Simulations and Their Relationships to Learning

Warehouse design: A structured approach

A Qualitative Physics Based on Confluences

Object-oriented programming (OOP) has been revolutionizing software development and maintenance. When applied to simulation of manufacturing systems, OOP also provides an opportunity for developing new ways of thinking and modeling. In this paper, we identify existing large-scale, persistent OOP-based research efforts focusing on manufacturing system simulation, and present an integrating framework for discussing the associated modeling abstractions, implementation strategies, common themes, and distinctive features. The goal is to identify the fundamental research and application issues, assess the current state of the art, and identify key research needs.

Research in object-oriented manufacturing simulations: an assessment of the state of the art∗

The results of an experimental study of the supervisory control of a simulated flexible manufacturing system (FMS) are discussed. A real-time simulator of an FMS, (Georgia Tech-FMS (GT-FMS)) was implemented and configured with data from a real manufacturing system. An experiment was run in which humans interacted with the automatic control system of GT-FMS with the goal of improving overall system performance by meeting due data while simultaneously minimizing inventory. Experimental results show that with human supervision both due data and inventory performance of GT-FMS can be improved. The results strongly support the idea of actively integrating humans into operational controls of automated manufacturing environments. >

The effectiveness of supervisory control strategies in scheduling flexible manufacturing systems

Turbinia-Vyasa is a computer-based instructional system that trains operators to troubleshoot and diagnose faults in marine power plants. The simulator, Turbinia, is based on a hierarchical representation of subsystems, components, and primitives. Vyasa is the computer-based tutor that teaches the troubleshooting task using Turbinia. The simulator, an interactive, direct manipulation interface, and the tutor (with its expert, student, and instructional modules) comprise the instructional system. To be effective, knowledge about the system and the troubleshooting task, together with the knowledge to infer student's misconceptions from observed actions and pedagogical knowledge, must be suitably organized and presented to the student. System knowledge is organized in terms of schematics, subsystems, and fluid paths, which are further decomposed into structure, function, and behavior. Information about failures and failure schemas complement the system knowledge. In the paper, the authors discuss the details of knowledge organization and show how they support the functions of the intelligent tutoring system. >

Knowledge organization in intelligent tutoring systems for diagnostic problem solving in complex dynamic domains

Control of flexible manufacturing systems (FMS) requires the complex interaction of two components: (1) computers to perform automated control and routing activities, and (2) humans to supervise the automation, to monitor system flows and outputs, and to intervene to diagnose and either correct or compensate for unanticipated events. Current academic FMS scheduling research has focused mainly on the first component in the control loop, development of scheduling algorithms for optimization and control. Here, the second component is included in both the definition of the FMS control problem and the corresponding control approach. A more realistic definition of the FMS control environment is presented using a supervisory control framework. Within this context, the concept of aiding a human operator who supervises the predominantly automated FMS operations is developed. >

Decision models for aiding FMS scheduling and control

A well-designed graphical environment that supports model specification has the potential of enabling the modeler to make better use of the modeling constructs and architecture. We describe on-going research in creating a graphical environment that supports model specification in OOSIM (Object-Oriented Simulation in Manufacturing), a high fidelity manufacturing system simulator. >

T. Govindaraj

Papers

Research in object-oriented manufacturing simulations: an assessment of the state of the art∗

The effectiveness of supervisory control strategies in scheduling flexible manufacturing systems

Knowledge organization in intelligent tutoring systems for diagnostic problem solving in complex dynamic domains

Decision models for aiding FMS scheduling and control

A specification environment for configuring a discrete-part manufacturing system simulation infrastructure