TY - GEN A1 - Panzer, Marcel A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Neural agent-based production planning and control BT - an architectural review T2 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe N2 - Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality. T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 172 KW - production planning and control KW - machine learning KW - neural networks KW - systematic literature review KW - taxonomy Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-604777 SN - 1867-5808 ER - TY - JOUR A1 - Panzer, Marcel A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Neural agent-based production planning and control BT - an architectural review JF - Journal of Manufacturing Systems N2 - Nowadays, production planning and control must cope with mass customization, increased fluctuations in demand, and high competition pressures. Despite prevailing market risks, planning accuracy and increased adaptability in the event of disruptions or failures must be ensured, while simultaneously optimizing key process indicators. To manage that complex task, neural networks that can process large quantities of high-dimensional data in real time have been widely adopted in recent years. Although these are already extensively deployed in production systems, a systematic review of applications and implemented agent embeddings and architectures has not yet been conducted. The main contribution of this paper is to provide researchers and practitioners with an overview of applications and applied embeddings and to motivate further research in neural agent-based production. Findings indicate that neural agents are not only deployed in diverse applications, but are also increasingly implemented in multi-agent environments or in combination with conventional methods — leveraging performances compared to benchmarks and reducing dependence on human experience. This not only implies a more sophisticated focus on distributed production resources, but also broadening the perspective from a local to a global scale. Nevertheless, future research must further increase scalability and reproducibility to guarantee a simplified transfer of results to reality. KW - production planning and control KW - machine learning KW - neural networks KW - systematic literature review KW - taxonomy Y1 - 2022 U6 - https://doi.org/10.1016/j.jmsy.2022.10.019 SN - 0278-6125 SN - 1878-6642 VL - 65 SP - 743 EP - 766 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Weber, Edzard A1 - Tiefenbacher, Anselm A1 - Gronau, Norbert T1 - Need for standardization and systematization of test data for job-shop scheduling T2 - Postprints der Universität Potsdam Wirtschafts- und Sozialwissenschaftliche Reihe N2 - The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research. Keywords T3 - Zweitveröffentlichungen der Universität Potsdam : Wirtschafts- und Sozialwissenschaftliche Reihe - 134 KW - job shop scheduling KW - JSP KW - social network analysis KW - method comparision Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-472229 SN - 1867-5808 IS - 134 ER - TY - JOUR A1 - Weber, Edzard A1 - Tiefenbacher, Anselm A1 - Gronau, Norbert T1 - Need for Standardization and Systematization of Test Data for Job-Shop Scheduling JF - Data N2 - The development of new and better optimization and approximation methods for Job Shop Scheduling Problems (JSP) uses simulations to compare their performance. The test data required for this has an uncertain influence on the simulation results, because the feasable search space can be changed drastically by small variations of the initial problem model. Methods could benefit from this to varying degrees. This speaks in favor of defining standardized and reusable test data for JSP problem classes, which in turn requires a systematic describability of the test data in order to be able to compile problem adequate data sets. This article looks at the test data used for comparing methods by literature review. It also shows how and why the differences in test data have to be taken into account. From this, corresponding challenges are derived which the management of test data must face in the context of JSP research. KW - job shop scheduling KW - JSP KW - social network analysis KW - method comparision Y1 - 2019 U6 - https://doi.org/10.3390/data4010032 SN - 2306-5729 VL - 4 IS - 1 PB - MDPI CY - Basel ER - TY - JOUR A1 - Gronau, Norbert A1 - Müller, Claudia A1 - Bahrs, Julian T1 - Modelling and analysis of knowledge intensive business processes (Workshop KiBP 2005) Y1 - 2005 UR - http://wi.uni-potsdam.de SN - 3-00-016020-5 ER - TY - JOUR A1 - Bahrs, Julian A1 - Gronau, Norbert A1 - Müller, Claudia A1 - Schmid, Simone T1 - Modellierung von Wissenskonversionen entlang wissensintensiver Geschäftsprozesse N2 - Der vorliegende Beitrag gibt eine Einführung in die Analyse und Optimierung wissensintensiver Geschäftsprozesse. Dazu wird die Modellierungsmethodik KMDL® vorgestellt und ein Szenario ihrer Anwendung auf wissensintensive Prozesse im Finanzdienstleistungssektor entworfen. Dies wird exemplarisch am Dienstleistungsentwicklungsprozess sowie am Kundenberatungsprozess demonstriert. Dabei werden für beide Prozesse durch den Einsatz der KMDL® erkennbare Potenzialfelder aufgezeigt und Handlungsempfehlungen entworfen. Y1 - 2005 UR - http://wi.uni-potsdam.de ER - TY - JOUR A1 - Gronau, Norbert A1 - Fröming, Jane A1 - Korf, Roman T1 - Modellierung und Analyse wissensintensiver Prozesse mit KMDL v2.0 Y1 - 2005 SN - 3-936771-55-3 ER - TY - JOUR A1 - Gronau, Norbert A1 - Fröming, Jane A1 - Korf, Roman T1 - Modellierung und Analyse wissensintensiver Aktivitäten in einem Geschäftsprozess mit der Knowledge Modeling and Description Language Y1 - 2006 SN - 3-88579-176-5 ER - TY - CHAP A1 - Gronau, Norbert ED - Freitag, Michael T1 - Modellieren des Umgangs mit Wissen für Industrie 4.0 T2 - Mensch-Technik-Interaktion in der digitalisierten Arbeitswelt Y1 - 2020 SN - 978-3-95545-353-4 U6 - https://doi.org/10.30844/wgab_2020 SP - 79 EP - 101 PB - GITO mbH Verlag CY - Berlin ER - TY - JOUR A1 - Gronau, Norbert T1 - Modellierbarkeit wissensintensiver Geschäftsprozesse mit herkömmlichen Werkzeugen N2 - Die Ressource Wissen als Bestandteil der unternehmerischen Wertschöpfung hat in den letzten Jahren stark an Bedeutung gewonnen. Besonders davon beeinflusst sind Branchen und Geschäftsmodelle, deren Wertschöpfung zu einem Großteil auf Erwerb, Erzeugung und Nutzung von Wissen basiert. Bekannte Werkzeuge für die Geschäftsprozessmodellierung berücksichtigen in der Regel nur explizites Wissen, welches in statischer Form abgebildet wird. Dabei gerät die Betrachtung von personenbezogenem Wissen, welches nicht unmittelbar zur Erzeugung von Informationen benötigt wird, aus dem Blickfeld. In diesem Beitrag werden klassische Verfahren der Modellierung von Geschäftsprozessen auf ihre Eignung zur Darstellung wissensintensiver Geschäftsprozesse untersucht. Basierend auf den vorgefundenen Defiziten wird der Modellierungsansatz KMDL (Knowledge Modeling Description Language) vorgestellt. Y1 - 2004 UR - http://wi.uni-potsdam.de/homepage/potsdam.nsf/ GetDownload?OpenAgent&ID=BEB237C291C58416C1256FAA0056564D&FILE=WI-2004-07.pdf ER - TY - CHAP A1 - Teichmann, Malte A1 - Lass, Sander A1 - Ullrich, André A1 - Gronau, Norbert ED - Weber, Kristin ED - Reinheimer, Stefan T1 - Modellfabriken als Enabler flexibler Lehr- und Lernsituationen für die Kompetenzentwicklung im Fabrikkontext BT - die Lernfabrik des Zentrums Industrie 4.0 Potsdam T2 - Faktor Mensch N2 - Dieses Kapitel diskutiert die Notwendigkeit einer stärkeren Praxisorientierung für die Schaffung konkreter Lehr- und Lernräume in Unternehmen und zeigt die Vorteile einer Lernfabrik vor dem Hintergrund der stattfindenden Digitalisierung als Mittel zur Kompetenzentwicklung auf. Die technologiebedingt erweiterten Weiterbildungsziele erfordern die Nutzung geeigneter Konzepte und Lösungen. Dahingehend erfolgt die zielorientierte Konkretisierung der Kreation geeigneter Lehr- und Lernsituationen. Die Darstellung der Nutzbarmachung einer Modellfabrik als Lernfabrik der betrieblichen Weiterbildungspraxis zeigt nicht nur eine Lösung für die intendierte Bereitstellung flexibler Lehr- und Lernsituationen, sondern liefert ebenso Handlungsempfehlungen und Best-Practices für die erfolgreiche Kompetenzentwicklung. Insbesondere Praktiker profitieren von der Darstellung der Lernfabrik: aus dieser können sowohl betriebliche Weiterbildner als auch Geschäftsverantwortliche Implikationen für die didaktische Transformation betrieblicher Arbeitsorte in betriebliche Lern-Orte ableiten. Die detaillierte Darstellung einer Tagesschulung zum Thema Auswirkungen von Industrie 4.0 auf die Arbeit der Mitarbeiter sowie Illustration eines Lernszenarios geben reale Einblicke, wie betriebliche Weiterbildung abseits von Lehr-Lern-Kurzschluss-orientierter Didaktik gelingt. KW - betriebliche Weiterbildung KW - Digitalisierung KW - Modellfabrik KW - Lehr-Lernsituationen KW - Industrie 4.0 KW - Zentrum Industrie 4.0 Y1 - 2022 SN - 978-3-658-34523-5 SN - 978-3-658-34524-2 U6 - https://doi.org/10.1007/978-3-658-34524-2_10 N1 - vollständig überarbeiteter und erweiterter Beitrag basierend auf dem Artikel „Herausforderungen und Handlungsempfehlungen betrieblicher Weiterbildungspraxis in Zeiten der Digitalisierung“ von Malte Teichmann, André Ullrich, Julian Wenz, Norbert Gronau, HMD Heft 333, Stefan Reinheimer, Kristin Weber (Hrsg.): Faktor Mensch, Juni 2020, S. 512–527. SP - 173 EP - 196 PB - Springer Fachmedien CY - Wiesbaden ER - TY - JOUR A1 - Eggert, Sandy A1 - Gronau, Norbert T1 - Modellbasierte Auswahl von ERP-Systemen Y1 - 2009 SN - 0931-9077 ER - TY - CHAP A1 - Gronau, Norbert ED - Shishkov, Boris T1 - Modeling the handling of knowledge for Industry 4.0 T2 - Business modeling and software design : 11th International Symposium, BMSD 2021, Sofia, Bulgaria, July 5–7, 2021, Proceedings N2 - Industry 4.0, i.e. the connection of cyber-physical systems via the Internet in production and logistics, leads to considerable changes in the socio-technical system of the factory. The effects range from a considerable need for further training, which is exacerbated by the current shortage of skilled workers, to an opening of the previously inaccessible boundaries of the factory to third-party access, an increasing merging of office IT and manufacturing IT, and a new understanding of what machines can do with their data. This results in new requirements for the modeling, analysis and design of information processing and performance mapping business processes. In the past, procedures were developed under the name of “process-oriented knowledge management” with which the exchange and use of knowledge in business processes could be represented, analyzed and improved. However, these approaches were limited to the office environment. A method that makes it possible to document, analyze and jointly optimize the new possibilities of knowledge processing by using artificial intelligence and machine learning in production and logistics in the same way and in a manner compatible with the approach in the office environment does not exist so far. The extension of the modeling language KMDL, which is described in this paper, will contribute to close this research gap. This paper describes first approaches for an analysis and design method for a knowledge management integrating man and machine in the age of Industry 4.0. KW - 4th industrial revolution KW - knowledge management KW - business process management Y1 - 2021 SN - 978-3-030-79975-5 SN - 978-3-030-79976-2 U6 - https://doi.org/10.1007/978-3-030-79976-2_12 VL - 422 SP - 207 EP - 223 PB - Springer International Publishing CY - Cham ER - TY - JOUR A1 - Gronau, Norbert A1 - Weber, Edzard T1 - Modeling of knowledge intensive business processes with the declaration language KMDL N2 - The Knowledge Modeler Description Language KMDL is able to represent the creation, use and necessity of knowledge along common business processes. So KMDL can be used to formalize knowledge-intensive processes with a focus on certain knowledge-specific characteristics and to identify weak points in these processes. For a computer-aided modeling and analyzing the tool K-Modeler is introduced. Y1 - 2004 UR - http://wi.uni-potsdam.de ER - TY - CHAP A1 - Thim, Christof A1 - Gronau, Norbert A1 - Haase, Jennifer A1 - Grum, Marcus A1 - Schüffler, Arnulf A1 - Roling, Wiebke A1 - Kluge, Annette ED - Shishkov, Boris T1 - Modeling change in business processes T2 - Business modeling and software design N2 - Business processes are regularly modified either to capture requirements from the organization’s environment or due to internal optimization and restructuring. Implementing the changes into the individual work routines is aided by change management tools. These tools aim at the acceptance of the process by and empowerment of the process executor. They cover a wide range of general factors and seldom accurately address the changes in task execution and sequence. Furthermore, change is only framed as a learning activity, while most obstacles to change arise from the inability to unlearn or forget behavioural patterns one is acquainted with. Therefore, this paper aims to develop and demonstrate a notation to capture changes in business processes and identify elements that are likely to present obstacles during change. It connects existing research from changes in work routines and psychological insights from unlearning and intentional forgetting to the BPM domain. The results contribute to more transparency in business process models regarding knowledge changes. They provide better means to understand the dynamics and barriers of change processes. KW - intentional forgetting KW - routines KW - business processes KW - unlearning Y1 - 2023 SN - 978-3-031-36756-4 SN - 978-3-031-36757-1 U6 - https://doi.org/10.1007/978-3-031-36757-1_1 SP - 3 EP - 17 PB - Springer Nature CY - Cham ER - TY - JOUR A1 - Gronau, Norbert T1 - Mobility creates process proximity Y1 - 2009 SN - 1434-2308 ER - TY - JOUR A1 - Teichmann, Malte A1 - Ullrich, André A1 - Bender, Benedict A1 - Gronau, Norbert T1 - Mobile IIoT-Technologien in hybriden Lernfabriken T1 - Using Mobile IIoT-Technologies in Hybrid Learning Factories BT - Szenariobasierte Entwicklung von Handlungskompetenz im Anwendungszentrum Industrie 4.0 BT - a Scenario-Based Development of Acting Capability in the Application Center Industry 4.0 JF - Industrie 4.0 Management N2 - Der Wandel zur automatisierten Produktion, die fortschreitende Digitalisierung der Wertschöpfungsprozesse sowie die stetige Implementierung von mobilen Industrial Internet of Things-Technologien (IIoT) in diese zur Unterstützung der Mitarbeiter stellen betriebliche Weiterbildung vor Herausforderungen. Komple-xere Anforderungen und veränderte Tätigkeitsprofile erfordern Handlungskom-petenzen bei Mitarbeitern im Sinne der Fähigkeit, in unbekannten Situationen auf Basis eigenen Könnens handlungsfähig zu bleiben. Jene sowie dafür notwendiges umfassendes Verständnis gegenüber digitalisierten Produktions-prozessen kann jedoch durch konventionelle Lehrmethoden nicht realisiert werden, da diese der erhöhten Anforderungskomplexität und den komplexen Rückkopplungen im Rahmen der Steuer- und Regelkreise nicht gerecht werden können. Diese Aspekte aufgreifend wird im Folgenden ein szenariobasierter Wei-terbildungsansatz für eine Lernfabrik vorgestellt, der insbesondere die Potenziale mobiler IIoT-Technologien zur Ausgestaltung dieser in den Blick nimmt. N2 - Recently, implementation procedures of automatic production, digitalization and Industrial Internet of Things technologies (IIoT) play an increasing role in industrial manufacturing processes. Subsequently, the competence requirements for employees change. These changes cannot be anticipated by traditional learning approaches. The following contribution faces this challenge and will show a new integrated learning factory approach which combines the application of new technologies with a flexible production environment. Thus establishing production surroundings that are familiar to the learner. The contribution demonstrates this approach using a quality control process in the context of logistics. KW - Mobile IIoT-Technologie KW - Lernszenario KW - Anwendungszentrum Industrie 4.0 KW - Lernfabrik KW - mobile IIoT-technologies KW - learning scenario KW - application center Industrie 4.0 KW - digital learning factory Y1 - 2018 U6 - https://doi.org/10.30844/I40M_18-3_S21-24 SN - 2364-9208 VL - 34 IS - 3 SP - 21 EP - 24 PB - GITO CY - Berlin ER - TY - JOUR A1 - Adelhelm, Silvia A1 - Braun, Andreas A1 - Gronau, Norbert A1 - Lürig, Detlef A1 - Müller, Elisabeth A1 - Vladova, Gergana A1 - Wagner, Dieter T1 - Mit Open Innovation zum Erfolg BT - So verbessern mittelständische Pharmaunternehmen ihre Innovationsprozesse JF - Handbuch prozessorientiertes Wissensmanagment Y1 - 2014 SN - 978-3-95545-026-7 SP - 211 EP - 226 PB - GITO CY - Berlin ER - TY - CHAP A1 - Bender, Benedict A1 - Gronau, Norbert A1 - Winter, Robert ED - Bui, Tung X. T1 - Minitrack introduction enterprise-level information systems BT - research minitrack T2 - Proceedings of the 56th Hawaii International Conference on System Sciences N2 - While Information Systems (IS) Research on the individual and workgroup level of analysis is omnipresent, research on the enterprise-level IS is less frequent. Even though research on Enterprise Systems and their management is established in academic associations and conference programs, enterprise-level phenomena are underrepresented. This minitrack provides a forum to integrate existing research streams that traditionally needed to be attached to other topics (such as IS management or IS governance). The minitrack received broad attention. The three selected papers address different facets of the future role of enterprise-wide IS including aspects such as carbonization, ecosystem integration, and technology-organization fit. KW - information systems research KW - enteprise-level KW - enterprise systems Y1 - 2023 SN - 978-0-9981331-6-4 SN - 2572-6862 SP - 5809 EP - 5810 PB - Hawaii International Conference on System Sciences CY - Honolulu, HI ER - TY - JOUR A1 - Fröming, Jane A1 - Gronau, Norbert A1 - Sultanow, Eldar T1 - MDA-Werkzeuge : Softwareautomaten ; im Vergleich: jABC, AndroMDA und OpenArchitectureWare Y1 - 2008 SN - 0935-9680 ER -