On‐Line Simulation: Need and Evolving Research Requirements

Davis, Wayne J.

doi:10.1002/9780470172445.ch13

Cited by 73 publications

(58 citation statements)

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“…À la fin des années 1990, plusieurs réflexions ont été menées sur l'avenir de la simulation (Drake et Smith, 1996) (Davis, 1998). L'idée motrice de ces réflexions a été de passer d'une simulation destinée à la conception d'un système de production à une simulation pour l'aide au pilotage.…”

Section: Prévisions De Comportementunclassified

“…Dans (Castagna et al, 2001), les auteurs répondent à une demande de l'industrie aéronautique qui voulait un simulateur permettant d'avoir une prévision claire du comportement de leur unité de production sur un horizon court (une journée). Le concept associé a notamment été exposé dans (Davis, 1998) sous le nom de simulation en ligne.…”

Section: Prévisions De Comportementunclassified

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Utilisation d'un observateur pour le pilotage des systèmes contrôlés par le produit

Cardin¹,

Castagna²,

Chové³

2009

ournal Européen des Systèmes Automatisés

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Section: Prévisions De Comportementunclassified

Utilisation d'un observateur pour le pilotage des systèmes contrôlés par le produit

Cardin¹,

Castagna²,

Chové³

2009

ournal Européen des Systèmes Automatisés

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“…The execution of a large model might be split across many computers 67,68,69 or separate models on several computers could be linked and run concurrently 70,71 . Simulation models might be linked to remote third party software during execution, such as databases, artificial intelligence software or real-time systems 72,73 . The speed and range of experimentation could be helped by distributing replications across a number of computers 74,75 or by distributing different experimental scenarios 76,77 .…”

Section: Simulation On the World Wide Web And Distributed Simulationmentioning

confidence: 99%

Discrete-event simulation: from the pioneers to the present, what next?

Robinson

2005

Journal of the Operational Research Society

176

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Discrete-event simulation is one of the most popular modelling techniques. It has developed significantly since the inception of computer simulation in the 1950s, most of this in line with developments in computing. The progress of simulation from its early days is charted with a particular focus on recent history. Specific developments in the past 15 years include visual interactive modelling, simulation optimisation, virtual reality, integration with other software, simulation in the service sector, distributed simulation and the use of the world wide web.The future is then speculated upon. Potential changes in model development, model use, the domain of application for simulation and integration with other simulation approaches are all discussed. The desirability of continuing to follow developments in computing, without significant developments in the wider methodology of simulation, is questioned.

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“…Marmaras, Vassilakopoulou, & Salvendy, 1997;Moodie, Uzsoy, & Yih, 1995) for the material processing technology of five-axis milling. This relative comparison of alternatives is widespread in the dynamic simulation of flexible manufacturing systems, because an accurate absolute prediction of characteristics is difficult to achieve due to the complexity of component interrelations (Davis, 1998). The task network of the conventional flexible manufacturing system for five-axis milling could be designed with the help of a literature survey, because this is a well-known domain of industrial engineering.…”

Section: Introductionmentioning

confidence: 99%

A comparative simulation study of work processes in autonomous production cells

Schlick

Reuth

Luczak

2001

Hum Ftrs & Erg Mfg Svc

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An approach to human-centered design and assessment of work processes in flexible manufacturing systems with the help of dynamic task networks is presented. To model and simulate the task networks, the method of timed colored Petri Nets is used. Two task networks are developed. The first task network is a model of work processes in Autonomous Production Cells (APCs). The second task network represents work processes in conventional Computer Numerically Controlled (CNC)-based manufacturing systems. The material processing technology is associated with 5-axis milling. The values of attributes of task elements were acquired empirically on a fine-grained level with reference to a sample milling order. Comparative hypotheses regarding time-on-task, supervisory control functions, levels of cognitive control, human error (HE), and labor division were then formulated. To test these hypotheses, several simulation experiments were conducted. The results from inferential statistics show that single-operator APCs have a 30% higher efficiency in relation to total time-on-task. Moreover, the level of cognitive control is significantly shifted toward rule-and knowledge-based behavior. Surprisingly, the simulation of minor HE does not demonstrate a significantly worse performance from APCs. A simulated labor division among central process planner and production operator allows an additional efficiency improvement of approximately 15%. However, the labor division has two important drawbacks: first, a sequential incompleteness of operators' task spectrum occurs; second, the operator has to cope with hierarchical task incompleteness. Finally, a sensitivity analysis was carried out to investigate the effects of varying lot sizes and number of processed orders.

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On‐Line Simulation: Need and Evolving Research Requirements

Cited by 73 publications

References 0 publications

Utilisation d'un observateur pour le pilotage des systèmes contrôlés par le produit

Utilisation d'un observateur pour le pilotage des systèmes contrôlés par le produit

Discrete-event simulation: from the pioneers to the present, what next?

A comparative simulation study of work processes in autonomous production cells

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