Paper
21 January 1997 Requirements for plug and play information infrastructure frameworks and architectures to enable virtual enterprises
Richard W. Bolton, Allen Dewey, Paul W. Horstmann, John Laurentiev
Author Affiliations +
Abstract
This paper examines the role virtual enterprises will have in supporting future business engagements and resulting technology requirements. Two representative end-user scenarios are proposed that define the requirements for 'plug-and-play' information infrastructure frameworks and architectures necessary to enable 'virtual enterprises' in US manufacturing industries. The scenarios provide a high- level 'needs analysis' for identifying key technologies, defining a reference architecture, and developing compliant reference implementations. Virtual enterprises are short- term consortia or alliances of companies formed to address fast-changing opportunities. Members of a virtual enterprise carry out their tasks as if they all worked for a single organization under 'one roof', using 'plug-and-play' information infrastructure frameworks and architectures to access and manage all information needed to support the product cycle. 'Plug-and-play' information infrastructure frameworks and architectures are required to enhance collaboration between companies corking together on different aspects of a manufacturing process. This new form of collaborative computing will decrease cycle-time and increase responsiveness to change.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard W. Bolton, Allen Dewey, Paul W. Horstmann, and John Laurentiev "Requirements for plug and play information infrastructure frameworks and architectures to enable virtual enterprises", Proc. SPIE 2913, Plug and Play Software for Agile Manufacturing, (21 January 1997); https://doi.org/10.1117/12.263455
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Manufacturing

Data processing

Telecommunications

Data communications

Data modeling

Computer aided design

Process modeling

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