Objects to change within a manufacturing enterprise can be products, technological or logistical processes, parts of the manufacturing facilities or a company's organization. For this paper we assume, that IT systems are also objects to change -- they have to be adapted to changes to products and facilities on the shop floor. Today the adaption of IT systems is managed and done manually -- therefore the authors propose an automated way of changing the production's IT-systems. For this purpose two main ideas are described: reading and interpreting a self-description of production equipment and enrichment of these descriptions with data from the 'digital factory' bridging the gap between planning and operating IT-systems and thus enabling higher adaptivity of manufacturing systems.
%0 Journal Article
%1 SchleipenLuederEtAl15at
%A Schleipen, Miriam
%A Lüder, Arndt
%A Sauer, Olaf
%A Flatt, Holger
%A Jasperneite, Jürgen
%D 2015
%J at -- Automatisierungstechnik
%K 01624 paper embedded ai factory engineering adaptive system admin zzz.i40
%N 10
%P 801--820
%R 10.1515/auto-2015-0015
%T Requirements and Concept for Plug-and-Work
%V 63
%X Objects to change within a manufacturing enterprise can be products, technological or logistical processes, parts of the manufacturing facilities or a company's organization. For this paper we assume, that IT systems are also objects to change -- they have to be adapted to changes to products and facilities on the shop floor. Today the adaption of IT systems is managed and done manually -- therefore the authors propose an automated way of changing the production's IT-systems. For this purpose two main ideas are described: reading and interpreting a self-description of production equipment and enrichment of these descriptions with data from the 'digital factory' bridging the gap between planning and operating IT-systems and thus enabling higher adaptivity of manufacturing systems.
@article{SchleipenLuederEtAl15at,
abstract = {Objects to change within a manufacturing enterprise can be products, technological or logistical processes, parts of the manufacturing facilities or a company's organization. For this paper we assume, that IT systems are also objects to change -- they have to be adapted to changes to products and facilities on the shop floor. Today the adaption of IT systems is managed and done manually -- therefore the authors propose an automated way of changing the production's IT-systems. For this purpose two main ideas are described: reading and interpreting a self-description of production equipment and enrichment of these descriptions with data from the 'digital factory' bridging the gap between planning and operating IT-systems and thus enabling higher adaptivity of manufacturing systems.},
added-at = {2016-12-25T19:56:59.000+0100},
author = {Schleipen, Miriam and L\"{u}der, Arndt and Sauer, Olaf and Flatt, Holger and Jasperneite, J\"{u}rgen},
biburl = {https://www.bibsonomy.org/bibtex/2f42622bc8d7464f4e63e93418eccb12f/flint63},
doi = {10.1515/auto-2015-0015},
file = {de Gruyter:2015/SchleipenLuederEtAl15at.pdf:PDF},
groups = {public},
interhash = {340fd95abc7c7bfcb44c8d2289a44f89},
intrahash = {f42622bc8d7464f4e63e93418eccb12f},
issn = {0178-2312},
journal = {at -- Automatisierungstechnik},
keywords = {01624 paper embedded ai factory engineering adaptive system admin zzz.i40},
number = 10,
pages = {801--820},
timestamp = {2017-07-13T17:30:29.000+0200},
title = {Requirements and Concept for {Plug-and-Work}},
username = {flint63},
volume = 63,
year = 2015
}