<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors></contributors><titles><title><style face="normal" font="default" size="100%">A Digital Twin for the Logistics System of a Manufacturing Enterprise Using Industrial IoT</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2020</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">47</style></volume><pages><style face="normal" font="default" size="100%">125-134</style></pages><abstract><style face="normal" font="default" size="100%">This article presents a Digital Twin (DT) for the logistics system of a manufacturing enterprise using industrial IoT. DT data technology allows to find the required knowledge that can be interpreted and used to support the process of decision-making in the management of the enterprise. The authors propose a classification of DTs for manufacturing and a systematic approach to DT application, as well as its use for simulation of real logistics systems.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">125</style></section></record></records></xml>