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      Process Modeling and Simulation of Tableting—An Agent-Based Simulation Methodology for Direct Compression

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          Abstract

          In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.

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          Modernizing Pharmaceutical Manufacturing: from Batch to Continuous Production

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            Determination of tablet strength by the diametral-compression test.

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              System dynamics, systems thinking, and soft OR

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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Pharmaceutics
                Pharmaceutics
                pharmaceutics
                Pharmaceutics
                MDPI
                1999-4923
                30 June 2021
                July 2021
                : 13
                : 7
                : 996
                Affiliations
                [1 ]Institute of Machine Tools and Production Technology (IWF), Technische Universität Braunschweig, Langer Kamp 19b, 38106 Braunschweig, Germany; t.abraham@ 123456tu-bs.de (T.A.); c.herrmann@ 123456tu-bs.de (C.H.)
                [2 ]Center of Pharmaceutical Engineering (PVZ), Technische Universität Braunschweig, Franz-Liszt-Str. 35A, 38106 Braunschweig, Germany; jan.finke@ 123456tu-bs.de (J.H.F.); a.kwade@ 123456tu-bs.de (A.K.)
                [3 ]Institute for Particle Technology (iPAT), Technische Universität Braunschweig, Volkmaroder Str. 5, 38104 Braunschweig, Germany
                Author notes
                [* ]Correspondence: n.martin@ 123456tu-bs.de (N.L.M.); a.schomberg@ 123456tu-bs.de (A.K.S.); Tel.: +49-531-391-7693 (N.L.M.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0001-9568-8167
                https://orcid.org/0000-0003-1844-4411
                https://orcid.org/0000-0002-6348-7309
                https://orcid.org/0000-0002-5621-1822
                Article
                pharmaceutics-13-00996
                10.3390/pharmaceutics13070996
                8308958
                34209261
                ebd10234-1e06-459a-a7cf-96cc628db845
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 23 April 2021
                : 22 June 2021
                Categories
                Article

                agent-based modeling and simulation,process modeling and simulation,tableting,product structures and characteristics

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