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Title: Semantic Web Technologies for Knowledge Management of Small-Scale Virtual Manufacturing Enterprises.

Abstract

Abstract not provided.

Authors:
; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1148462
Report Number(s):
SAND2007-2386C
523461
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the International Engineering Management Conference held July 29 - August 1, 2007 in Austin, TX.
Country of Publication:
United States
Language:
English

Citation Formats

Bowers, John S., Linebarger, John M., and cecil, J. Semantic Web Technologies for Knowledge Management of Small-Scale Virtual Manufacturing Enterprises.. United States: N. p., 2007. Web.
Bowers, John S., Linebarger, John M., & cecil, J. Semantic Web Technologies for Knowledge Management of Small-Scale Virtual Manufacturing Enterprises.. United States.
Bowers, John S., Linebarger, John M., and cecil, J. Sun . "Semantic Web Technologies for Knowledge Management of Small-Scale Virtual Manufacturing Enterprises.". United States. doi:. https://www.osti.gov/servlets/purl/1148462.
@article{osti_1148462,
title = {Semantic Web Technologies for Knowledge Management of Small-Scale Virtual Manufacturing Enterprises.},
author = {Bowers, John S. and Linebarger, John M. and cecil, J.},
abstractNote = {Abstract not provided.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Apr 01 00:00:00 EDT 2007},
month = {Sun Apr 01 00:00:00 EDT 2007}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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  • Abstract not provided.
  • As markets become unexpectedly turbulent with a shortened product life cycle and a power shift towards buyers, the need for methods to rapidly and cost-effectively develop products, production facilities and supporting software is becoming urgent. The use of a virtual enterprise plays a vital role in surviving turbulent markets. However, its success requires reliable and large-scale interoperation among trading partners via a semantic web of trading partners' services whose properties, capabilities, and interfaces are encoded in an unambiguous as well as computer-understandable form. This paper demonstrates a promising approach to integration and interoperation between a design house and a manufacturermore » by developing semantic web services for business and engineering transactions. To this end, detailed activity and information flow diagrams are developed, in which the two trading partners exchange messages and documents. The properties and capabilities of the manufacturer sites are defined using DARPA Agent Markup Language (DAML) ontology definition language. The prototype development of semantic webs shows that enterprises can widely interoperate in an unambiguous and autonomous manner; hence, virtual enterprise is realizable at a low cost.« less
  • To cope with today's fluctuating markets, a virtual enterprise (VE) concept can be employed to achieve the cooperation among independently operating enterprises. The success of VE depends on reliable interoperation among trading partners. This paper proposes a framework based on semantic web of manufacturing and simulation services to enable business and engineering collaborations between VE partners, particularly a design house and manufacturing suppliers.
  • Virtual manufacturing enterprises (VMEs) are a current, viable, and strategic form of organization for business and other organizations. The perspectives described in this literature review are based upon a basic cluster analysis that identified and classified papers into homogenous subgroups with meaningful themes, or categories. These general themes are related to strategies for business organization and advanced information technologies, virtual industrial/manufacturing organizations/enterprises, frameworks supporting virtual manufacturing enterprises (VMEs), and information technology infrastructures for VMEs.