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 - 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 - 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 - 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 - 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 - 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 - JOUR A1 - Lewandowski, Stefanie A1 - Ullrich, André A1 - Gronau, Norbert T1 - Normen zur Berechnung des CO₂-Fußabdrucks T1 - Standards for calculating a carbon footprint BT - ein Vergleich von PAS 2050, GHG Protocol und ISO 14067 JF - Industrie 4.0 Management : Gegenwart und Zukunft industrieller Geschäftsprozesse N2 - CO₂-Fußabdrücke sind ein aktuell viel diskutiertes Thema mit weitreichenden Implikationen für Individuen als auch Unternehmen. Firmen können einen proaktiven Beitrag zur Transparenz leisten, indem der unternehmens- oder produktbezogene CO₂-Fußabdruck ausgewiesen wird. Ist der Entschluss gefasst einen CO₂-Fußabdruck auszuweisen und die entstehenden Treibhausgase zu erfassen, existiert eine Vielzahl unterschiedlicher Normen und Zertifikate, wie die publicly available specification 2050, das Greenhouse Gas Protokoll oder die ISO 14067. Das Ziel dieses Beitrags ist es, diese drei Normen zur Berechnung des produktbezogenen CO₂-Fußabdrucks zu vergleichen, um Gemeinsamkeiten und Unterschiede sowie Vor- und Nachteile in der Anwendung aufzuzeigen. Die Übersicht soll Unternehmen bei der Entscheidungsfindung hinsichtlich der Eignung eines CO₂-Fußabdrucks für ihr Unternehmen unterstützen. N2 - Carbon footprints are a widely discussed topic impacting the individuals as well as companies. A company can be transparent in their actions, by publishing a carbon footprint. These footprints can be calculated for a single product or the whole company. However, there is a variety of different carbon footprint standards. The internationally most recognized ones are the publicly available specification 2050, Greenhouse Gas protocol (2011) and ISO 14067. This paper compares the standards and gives a recommendation for the application of product carbon footprints. KW - environmental footprint KW - product carbon footprint KW - ökologischer Fußabdruck KW - CO₂-Fußabdruck KW - PAS 2050 KW - GHG Protocol KW - ISO 14067 Y1 - 2021 U6 - https://doi.org/10.30844/I40M_21-4_S17-20 SN - 2364-9208 VL - 37 IS - 4 SP - 17 EP - 20 PB - GITO mbH Verlag CY - München ER - TY - BOOK A1 - Adelhelm, Silvia A1 - Braun, Andreas A1 - Gronau, Norbert A1 - Müller, E. A1 - Vladova, Gergana T1 - Open Innovation : Methodologische Präzisierung und praktische Umsetzung im Projekt Open Innovation in Life Sciences Y1 - 2010 SN - 978-3-8396-0141-9 ER -