Acta Marisiensis.
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Year 2024
Volume 21 (XXXVIII), no 1 Year 2023 Volume 20 (XXXVII), no 1 Volume 20 (XXXVII), no 2 Year 2022 Volume 19 (XXXVI), no 1 Volume 19 (XXXVI), no 2 Year 2021 Volume 18 (XXXV), no 1 Volume 18 (XXXV), no 2 Year 2020 Volume 17 (XXXIV), no 1 Volume 17 (XXXIV), no 2 Year 2019 Volume 16 (XXXIII), no 1 Volume 16 (XXXIII), no 2 Year 2018 Volume 15 (XXXII), no 1 Volume 15 (XXXII), no 2 Year 2017 Volume 14 (XXXI), no 1 Volume 14 (XXXI), no 2 Year 2016 Volume 13 (XXX), no 1 Volume 13 (XXX), no 2 Year 2015 Volume 12 (XXIX), no 1 Volume 12 (XXIX), no 2 Year 2014 Volume 11 (XXVIII), no 1 Volume 11 (XXVIII), no 2 Year 2013 Volume 10 (XXVII), no 1 Volume 10 (XXVII), no 2 Year 2012 Volume 9 (XXVI), no 1 Volume 9 (XXVI), no 2 Year 2011 Volume 8 (XXV), no 1 Volume 8 (XXV), no 2 Year 2010 Volume 7 (XXIV), no 1 Volume 7 (XXIV), no 2 Year 2009 Volume 6 (XXIII) |
2021, Volume 18 (XXXV), no 2
Horea Mizgan, INTELIFORM Co, Timişoara, Romania Ovidiu Ambruş, TRW Co, Romania Macedon Ganea, University of Oreadea, Romania Abstract: The TTM (Total Traceability Management) is becoming a mandatory process requested by all OEMs (Original Equipment Manufacturing) as a system to be deployed by the relevant suppliers. Process parameters from the machines are gathered by the TTM software and based on a defined algorithm the product is receiving new statuses, as physical and software characteristics. Given the high complexity of the current process flows, the highly automated lines and cells, the increased amount of process parameters, the necessity of synchronizing various production steps, it is needed that a simulation process to be done in advance of the full process deployment. The paper work reviews both the mathematical apparatus that underlies the simulation, and one of the various available simulation programs in academia. It is used one of the most usual software for simulation SIMQuick which is based on statistical methodologies. SIMQuick performs a virtual simulation of the process being used in various areas of activity including production in automotive, automation, supply chain processes and services, providing the valuable data for the behavior of the process and providing the premises for layout, flows, and resources improvements. The supply chain software ERP requirements with TTM technical inputs and outputs are the data pillars for the simulation which are presented as a result of the research. DOI: https://doi.org/10.2478/amset-2021-0012 Pages: 13-18 View full article |
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Update: 19-Jun-2024 | © Published by University Press |