Using SiMPLE++ for improved modeling efficiencies and extending model life cycles

Kalasky, David R.; Levasseur, Gerald A.

doi:10.1145/268437.268593

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…D.R. Kalasky studied how to improve the operating efficiency of simulation model, and extend the life cycle of simulation model with simulation software application [27]. R. Tesic described processing virtual model collision detection method based on virtual reality environment, and affirmed the interactivity and accuracy of simulation modeling object [28].…”

Section: Development Statusmentioning

confidence: 99%

Development of Virtual Simulation in Manufacturing Industry

Liu

Wang

2013

AMM

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Firstly, the current situation of China and the necessity of importing virtual simulation technologies in production manufacturing were analyzed. And then, virtual simulation, Virtual manufacturing and their advantages were introduced. After that, the current developments of the virtual simulation technology at home and abroad were reviewed. Based on the analyses of the advantages of the current researches, virtual simulation technology existing issues and improving approaches were pointed out. Finally, the development direction was proposed.

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Section: Development Statusmentioning

confidence: 99%

Development of Virtual Simulation in Manufacturing Industry

Liu

Wang

2013

AMM

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“…2,3 This can only be done by adopting a level of analysis which focuses on the rates of accumulation and consumption of the system resources (equipment, spare parts, personnel, knowledge) over time, rather than on the stochastic occurrence and timing of individual events (eg the arrival of an engine at the maintenance department, the probability of individual failures, the assessment of system and component reliability, etc.) [4][5][6] System dynamics is a suitable approach for studying the behaviour of systems at this level of analysis, especially when they exhibit dynamic complexity as a result of dynamic interactions among their elements. System dynamics modelling focuses on the feedback loops which are formed by stocks (states of the system) and flows (variables that change the states of the system) and has been used successfully in similar problem domains.…”

Section: Introductionmentioning

confidence: 99%

Model-based assessment of military aircraft engine maintenance systems

Adamides

Stamboulis

Varelis

2004

Journal of the Operational Research Society

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The paper describes the development and use of a modular system dynamics model for analysing the dynamics and for assessing the long-term performance of military aircraft engine maintenance systems. Life-cycle engine maintenance is considered as a dynamic system whose behaviour is influenced by parameters specific to the engine's reliability and maintenance characteristics, to the operational requirements, and to the maintenance infrastructure. We show how the model can be used for supporting the aircraft procurement decision through the assessment of its engine's maintenance system, as well as for understanding and determining maintenance system behaviours, towards which operational adjustments of the maintenance infrastructure can be made in a more informed way.

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“…In contrast to the novelty of Silk, FACTOR/AIM and SLX, Crain (1997) is keen to point out the superior qualities of GPSS/H which, although not new, is``one of the most general, flexible and powerful'' simulation tools on the marketplace today, and is used in a wide variety of working environments (p. 567). Particularly useful for manufacturing is SiMPLE++, say its creators, Kalasky and Levasseur (1997), who claim that it is``a highly efficient, highly flexible tool'' which has been used successfully in many organisations throughout the world.…”

Section: Introductionmentioning

confidence: 99%

Enhancing simulation software for use in manufacturing

Baldwin

Eldabi²,

Hlupic³

et al. 2000

Logistics Information Management

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The design of manufacturing systems is a complex and expensive task for both SMEs and large organisations alike. Many problems relating to the design and operation of manufacturing systems are too complex to allow for mathematical treatment, and as a result there is increasing recognition of the applicability of simulation in the manufacturing environment. This has in turn resulted in a growth in simulation software products available in the marketplace, and manufacturers of such products are naturally keen to extol the virtues of what they sell. In a rapidly changing workplace, there is some suggestion that simulation tools may not have developed to deal with the new demands, and so it is timely to review what is on offer. This paper presents the results of a survey of European simulation specialists, both working in industry and in an academic environment, on the use of simulation software. The main purpose of this survey was to determine how satisfied users are with simulation software and to highlight the most positive and negative features. The findings offer an insight into current software, and how this can be further enhanced.

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Using SiMPLE++ for improved modeling efficiencies and extending model life cycles

Cited by 7 publications

References 4 publications

Development of Virtual Simulation in Manufacturing Industry

Development of Virtual Simulation in Manufacturing Industry

Model-based assessment of military aircraft engine maintenance systems

Enhancing simulation software for use in manufacturing

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