SIMA reference architecture, part 1:

Barkmeyer, Edward J.; Christopher, Neil; Feng, Shaw C.; Fowler, James E.; Frechette, Simon P.; Jones, Albert L.; Jurrens, Kevin K.; Lyons, Kevin W.; McLean, Charles R.; Pratt, Michael; Scott, Harry A.; Senehi, M Kate; Sriram, Ram D.; Wallace, Evan

doi:10.6028/nist.ir.5939

Cited by 31 publications

(32 citation statements)

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“…Some industrial reference models can be used for CP and CA location identification and their logic model can be developed. These reference models include SCOR (supply chain operation reference) models, the international society of automation (ISA)95 reference models (ISO 2001), the systems integration of manufacturing applications (SIMA) reference models (Barkmeyer 2006) and so forth.…”

Section: Supplier Companymentioning

confidence: 99%

Process and data fragmentation-oriented enterprise network integration with collaboration modelling and collaboration agents

Wang

Cao

et al. 2014

Enterprise Information Systems

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With the process of globalisation and the development of management models and information technology, enterprise cooperation and collaboration has developed from intra-enterprise integration, outsourcing and inter-enterprise integration, and supply chain management, to virtual enterprises and enterprise networks. Some midfielder enterprises begin to serve for different supply chains. Therefore, they combine related supply chains into a complex enterprise network. The main challenges for enterprise network's integration and collaboration are business process and data fragmentation beyond organisational boundaries. This paper reviews the requirements of enterprise network's integration and collaboration, as well as the development of new information technologies. Based on service-oriented architecture (SOA), collaboration modelling and collaboration agents are introduced to solve problems of collaborative management for service convergence under the condition of process and data fragmentation. A model-driven methodology is developed to design and deploy the integrating framework. An industrial experiment is designed and implemented to illustrate the usage of developed technologies in this paper.

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Section: Supplier Companymentioning

confidence: 99%

Process and data fragmentation-oriented enterprise network integration with collaboration modelling and collaboration agents

Wang

Cao

et al. 2014

Enterprise Information Systems

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“…6a, based on the ARC Advisory Group's model for collaboration manufacturing management (ARC Advisory Group, 2002) and ISA95's Enterprise-Control System Integration hierarchical model (Barkmeyer, 1996), NIST describes a smart manufacturing ecosystem (Lu et al, 2016). The reference architecture model for Industry 4.0 is shown in Fig.…”

Section: Trends In the Development Of Unmanned Workhops/intelligent mentioning

confidence: 99%

Current trends in the development of intelligent unmanned autonomous systems

Zhang

et al. 2017

Frontiers Inf Technol Electronic Eng

134

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Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligence (AI). The development of such systems can significantly promote innovation in AI technologies. This paper introduces the trends in the development of intelligent unmanned autonomous systems by summarizing the main achievements in each technological platform. Furthermore, we classify the relevant technologies into seven areas, including AI technologies, unmanned vehicles, unmanned aerial vehicles, service robots, space robots, marine robots, and unmanned workshops/intelligent plants. Current trends and developments in each area are introduced.

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“…A starting point for this activity was a previous NIST 1 publication in this same area [6], which emphasized design engineering activities and process specification activities coupled to a simple model of production systems specification. The primary thrust of that work was how a manufacturing facility will be used to make the product.…”

Section: Overview Of the Modelmentioning

confidence: 99%

Reference Architecture for Smart Manufacturing Part 1: Functional Models

Barkmeyer¹,

Wallace²

2016

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This document is a part of the definition of a reference architecture for the integration of manufacturing software applications in the areas of fabrication and assembly of discrete electro mechanical parts. This document captures, at a high level of abstraction, the engineering and operations functions involved in producing discrete products, and the general nature of information flows among them. The function elements provide a frame of reference for productand facility-specific functions in a production system, and thus for specifications for manufacturing software/hardware systems components. Assigning these narrower functions to components begets a systems architecture, for which the information flows described in this document identify the necessary interactions among the components. The information flow elements also provide a frame of reference for specifying the information involved in those interactions and in the corresponding component interfaces. In short, these models are part of a framework for specifying production systems' architectures, and the related architectures for the software systems that support production systems engineering.

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SIMA reference architecture, part 1:

Cited by 31 publications

References 1 publication

Process and data fragmentation-oriented enterprise network integration with collaboration modelling and collaboration agents

Process and data fragmentation-oriented enterprise network integration with collaboration modelling and collaboration agents

Current trends in the development of intelligent unmanned autonomous systems

Reference Architecture for Smart Manufacturing Part 1: Functional Models

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