Framework for adaptive interoperability of manufacturing enterprises (FAIME): a case study on plug and play software for agile manufacturing track

John E. Sims; Bei Tseng Bill Chu; Junshen Long; Mike Matthews; Johnny G. Barnes; Chris H. Jones; Rayne A. Anderson; Russ Lambert; Doug C. Drake; Mark A. Hamilton; Mark Connard

doi:10.1117/12.263452

21 January 1997 Framework for adaptive interoperability of manufacturing enterprises (FAIME): a case study

John E. Sims, Bei Tseng Bill Chu, Junshen Long, Mike Matthews, Johnny G. Barnes, Chris H. Jones, Rayne A. Anderson, Russ Lambert, Doug C. Drake, Mark A. Hamilton, Mark Connard

Author Affiliations +

Proceedings Volume 2913, Plug and Play Software for Agile Manufacturing; (1997) https://doi.org/10.1117/12.263452
Event: Photonics East '96, 1996, Boston, MA, United States

Abstract

In todays global economy, manufacturing industries require to connect disparate applications seamlessly. They require not only to exchange data and transactions, but present a single business process image to their employees in the office, headquarters, and on the plant floor. Also, it is imperative that small and medium size manufacturing companies deploy manufacturing execution systems applications in conjunction with modern enterprise resource programs for cycle time reduction and better quality. This paper presents the experiences and reflections on a project that created a tool set to assist the above be accomplished not only in a shorter cycle time, with a better predictable quality, and with an object oriented framework, but also a tool set that allows the manufacturer to still use legacy applications. This framework has the capability of plug-and- play so that future migrations and re-engineering of processes are more productive.

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John E. Sims, Bei Tseng Bill Chu, Junshen Long, Mike Matthews, Johnny G. Barnes, Chris H. Jones, Rayne A. Anderson, Russ Lambert, Doug C. Drake, Mark A. Hamilton, and Mark Connard "Framework for adaptive interoperability of manufacturing enterprises (FAIME): a case study", Proc. SPIE 2913, Plug and Play Software for Agile Manufacturing, (21 January 1997); https://doi.org/10.1117/12.263452

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