A Framework of Digital Factory System Using Multi-Resolution Simulation

Guan, Zai Lin; Wang, Chuang Jian; Wu, Yingjie; Shao, Xin Yu

doi:10.4028/www.scientific.net/amm.159.12

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…The parts of a complex system can be created as simple model through the hierarchical modeling approach. Each parts of the system can be modeled with different types of modeling methods, as a model unit, these parts have multiple model levels, although each level has different modeling approaches, they all reflect the characteristics and behaviors of the model units [7][8][9]. Optimization: Optimization is very important in DF.…”

Section: Multi-level Modeling and Multi-resolution Simulation (Mmandms)mentioning

confidence: 99%

The application of digital factory in domestic chemical industry

Zou

2015

The 27th Chinese Control and Decision Conference (2015 CCDC)

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The business competition among chemical companies is more and more fiercely with the development of the society. The output, cost, quality of the industrial products are attracting more attention. Digital factory(DF), based on the date of the whole product life cycle, is a new production organization which simulate the production cycle, evaluating and optimizing the whole production process in the computer virtual environment. DF is also a combination of the modem digital manufacturing technology and the computer simulation technology that bridges the product design and manufacturing. As a rising star of the Global manufacturing. In this paper we introduced the features and key technologies of Digital Factory and established a Digital Factory plan according to domestic chemical industry. We also analyzed the problems that the Digital Factory confronted in chemical industry spreading.

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Section: Multi-level Modeling and Multi-resolution Simulation (Mmandms)mentioning

confidence: 99%

The application of digital factory in domestic chemical industry

Zou

2015

The 27th Chinese Control and Decision Conference (2015 CCDC)

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Multi-resolution modeling for supply chain sustainability analysis

Jain¹,

Sigureardottir²,

Lindskog³

et al. 2013

2013 Winter Simulations Conference (WSC)

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Consumers are increasingly becoming conscious of the need to reduce environmental impact. This has motivated the industry to make efforts to improve the sustainability of their products and supply chains. Such efforts require the ability to analyze the sustainability of supply chains and potential improvements. A systematic approach is needed to evaluate the alternatives that may range from those at the supply chain configuration level to those for improving equipment at a production facility. This paper presents a multi-resolution modeling approach that allows analyzing parts of the supply chain at appropriate level of detail. The capability allows studying the supply chain at high level initially and iteratively drilling down to detailed levels in the identified areas of opportunity and evaluating associated improvement alternatives. Multi-resolution modeling directly relates the impact of improvement in one part of the supply chain to overall supply chain performance thus reducing analyst effort and time.

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