Symbiotic simulation for business process re-engineering in high-tech manufacturing and service networks

Low, Malcolm Yoke Hean; Turner, Stephen J.; Ling, Ding; Peng, Hai L.; Lendermann, Peter; Chan, Lai Peng; Buckley, Steve

doi:10.1109/wsc.2007.4419649

Cited by 12 publications

(9 citation statements)

References 5 publications

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“…Several applications which use symbiotic simulation have been developed since 2002. These include the application of symbiotic simulation for UAV path planning [7], social sciences [8], [9], and business process re-engineering [10]. In the context of semiconductor manufacturing, symbiotic simulation has already been used in [11] to optimise backend operations.…”

Section: Related Workmentioning

confidence: 99%

Symbiotic Simulation Control in Semiconductor Manufacturing

Aydt

Turner

Cai

et al. 2008

Computational Science – ICCS 2008

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Abstract. Semiconductor manufacturing is a highly complex and asset intensive process. Solutions are needed to automate control of equipment and improve efficiency. We describe a symbiotic simulation control system which uses reactive what-if analysis to find a stable configuration of a wet bench tool set. This control system is based on a generic framework for symbiotic simulation. We show that symbiotic simulation can be used to make control decisions in near real-time. Furthermore, we show that our approach yields a notable performance improvement over common practise.

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Section: Related Workmentioning

confidence: 99%

Symbiotic Simulation Control in Semiconductor Manufacturing

Aydt

Turner

Cai

et al. 2008

Computational Science – ICCS 2008

Self Cite

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“…State-of-the-art simulation systems (Low et al, 2007) provide no closed-coupled integration into the entire process. Even it concerns an on-line-simulator it does not emphasise this close relationship between the simulation system and the physical system.…”

Section: Pdsp In Symbiotic Simulationmentioning

confidence: 99%

ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs

2010

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PREFACEThe European Conference on Modelling and Simulation has provided, over the years, a forum for scientific discussions for simulationists from Europe, Asia, Australia, North and South America and Africa. It is this broad international participation at the ECMS conferences that has prompted a bold change of venue for the ECMS2010. This year's conference, the 24 th ECMS is held in Kuala Lumpur, Malaysia, and is hosted by the University of Nottingham.Organised under the headline "Simulation Meets Global Challenges" the conference emphasises the fact that in today's economy and society the most challenging problems have a global nature. The availability of energy sources and water supply, the challenges of logistics, food production and environmental sustainability are all global concerns. This is why the conference emphasises the importance of networking of individuals and research organisations addressing the same issues from different geographical and disciplinary perspectives. With the outsourcing of much of industrial production from Europe and the USA to developing countries in Asia there is much to be gained from exchanging experiences relating to social and environmental impact of industrialization; so as to build simulation models that can serve as a reliable source of foresight in decision-making processes.The University of Nottingham, Malaysia Campus is pleased to host the conference as its focus relates closely to the University's commitment to providing our students with a global perspective on real-world problems.The ECMS 2010 is organised around 10 thematic tracks, which highlight the breadth and relevance of simulation modelling methodology to problem solving. The thematic tracks such as Agent-Based Simulation, Simulation of Complex Systems, Multi-Resolution and Granular Modelling and Intelligent Systems Simulation provide theoretical underpinnings for a broad range of applications while the tracks such as Simulation in Industry, Business and Services, Simulation in Electrical and Electromechanical Engineering and Simulation and Control of Technological Processes provide a forum for the discussion of domain-specific simulation results. However, the list of application areas represented by the conference tracks is not exhaustive and the conference programme includes some papers dealing with computer simulations in agriculture and crop science which are certain to become much more prominent in future.The track record of 24 years of ECMS conferences is rooted in the vibrancy of the international community of simulationists who play a key role in helping to understand complex real-life problems through simulation modelling studies. We, the organisers of the ECMS2010, are confident that the cross-fertilisation of ideas afforded through formal presentations and informal discussions at the conference will provide a step forward in tackling global challenges.We wish all participants a fruitful conference and an enjoyable stay in Kuala Lumpur. Andrzej Bargiela General Conference and Programme Chair Vir...

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“…Mitchell and Yilmaz have described symbiotic adaptive multisimulation in a similar context [15]. In addition, symbiotic simulation has been applied in various other domains such as business process optimisation [11]. Various dynamic data-driven application systems (DDDAS) found in the literature can also be classified as symbiotic simulation systems.…”

Section: Related Workmentioning

confidence: 99%

Symbiotic Simulation Model Validation for Radiation Detection Applications

Aydt

Turner

Cai

et al. 2009

2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced and Distributed Simulation

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Detection of radiological dispersal devices (RDDs) isimportant because of their potential for destruction and psychological impact on the affected population. These devices leave a clear trace which can be followed when using appropriate detection devices. Geiger counter devices provide data regarding the radiation intensity. However, this is not enough information to pinpoint a radiation source. Neither can this information be directly used to classify the radiation source. We describe a method using symbiotic simulation which can be used to classify and localise a radiation source given accurate measurements of radiation intensities at reference points and a detailed model of the environment. Initial classification and localisation, as well as continuous tracking of a moving radiation source, is considered. The effects of a measurement error and a model error are investigated.

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Symbiotic simulation for business process re-engineering in high-tech manufacturing and service networks

Cited by 12 publications

References 5 publications

Symbiotic Simulation Control in Semiconductor Manufacturing

Symbiotic Simulation Control in Semiconductor Manufacturing

ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs

Symbiotic Simulation Model Validation for Radiation Detection Applications

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