TY - JOUR A1 - Rojahn, Marcel A1 - Weber, Edzard A1 - Gronau, Norbert T1 - Towards a standardization in scheduling models BT - assessing the variety of homonyms JF - International journal of industrial and systems engineering N2 - Terminology is a critical instrument for each researcher. Different terminologies for the same research object may arise in different research communities. By this inconsistency, many synergistic effects get lost. Theories and models will be more understandable and reusable if a common terminology is applied. This paper examines the terminological (in)consistence for the research field of job-shop scheduling by a literature review. There is an enormous variety in the choice of terms and mathematical notation for the same concept. The comparability, reusability and combinability of scheduling methods is unnecessarily hampered by the arbitrary use of homonyms and synonyms. The acceptance in the community of used variables and notation forms is shown by means of a compliance quotient. This is proven by the evaluation of 240 scientific publications on planning methods. KW - job-shop scheduling KW - JSP KW - terminology KW - notation KW - standardization Y1 - 2023 UR - https://publications.waset.org/10013137/pdf SN - 1748-5037 SN - 1748-5045 VL - 17 IS - 6 SP - 401 EP - 408 PB - Inderscience Enterprises CY - Genève ER - TY - JOUR A1 - Teichmann, Malte A1 - Vladova, Gergana A1 - Gronau, Norbert T1 - Conception of subject-oriented learning BT - ameso-didactic design framework for learning scenarios for manufacturing JF - SSRN eLibrary / Social Science Research Network N2 - Competence development must change at all didactic levels to meet the new requirements triggered by digitization. Unlike classic learning theories and the resulting popular approaches (e.g., sender-receiver model), future-oriented vocational training must include new learning theory impulses in the discussion about competence acquisition. On the one hand, these impulses are often very well elaborated on the theoretical side, but the transfer into innovative learning environments - such as learning factories - is often still missing. On the other hand, actual learning factory (design) approaches often concentrate primarily on the technical side. Subject-oriented learning theory enables the design of competence development-oriented vocational training projectsin learning factories in which persons can obtain relevant competencies for digitization. At the same time, such learning theory approaches assume a potentially infinite number of learning interests and reasons. Following this, competence development is always located in an institutional or organizational context. The paper conceptionally answers how this theoryimmanent challenge is synthesizable with the reality of organizationally competence development requirements. KW - subject-oriented learning KW - learning scenario for manufacturing KW - didactic framework KW - action problems KW - didactic concept Y1 - 2023 U6 - https://doi.org/10.2139/ssrn.4457995 SN - 1556-5068 PB - Social Science Electronic Publ. CY - [Erscheinungsort nicht ermittelbar] ER - TY - JOUR A1 - Teichmann, Malte A1 - Ullrich, André A1 - Knost, Dennis A1 - Gronau, Norbert T1 - Serious games in learning factories BT - perpetuating knowledge in learning loops by game-based learning JF - Procedia manufacturing N2 - The usage of gamification in the contexts of commerce, consumption, innovation or eLearning in schools and universities has been extensively researched. However, the potentials of serious games to transfer and perpetuate knowledge and action patterns in learning factories have not been levered so far. The goal of this paper is to introduce a serious game as an instrument for knowledge transfer and perpetuation. Therefore, reqirements towards serious games in the context of learning factories are pointed out. As a result, that builds on these requirements, a serious learning game for the topic of Industry 4.0 is practically designed and evaluated. KW - game-based learning KW - gamification KW - serious game KW - learning factories Y1 - 2020 U6 - https://doi.org/10.1016/j.promfg.2020.04.104 SN - 2351-9789 VL - 45 SP - 259 EP - 264 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Teichmann, Malte A1 - Ullrich, André A1 - Kotarski, David A1 - Gronau, Norbert T1 - Facing the demographic change BT - recommendations for designing learning factories as age-appropriate teaching-learning environments for older blue-collar workers JF - SSRN eLibrary / Social Science Research Network N2 - Digitization and demographic change are enormous challenges for companies. Learning factories as innovative learning places can help prepare older employees for the digital change but must be designed and configured based on their specific learning requirements. To date, however, there are no particular recommendations to ensure effective age-appropriate training of bluecollar workers in learning factories. Therefore, based on a literature review, design characteristics and attributes of learning factories and learning requirements of older employees are presented. Furthermore, didactical recommendations for realizing age-appropriate learning designs in learning factories and a conceptualized scenario are outlined by synthesizing the findings. KW - learning factory KW - vocational training KW - learning environment KW - age-appropriate competence development KW - demographic change Y1 - 2021 U6 - https://doi.org/10.2139/ssrn.3858716 SN - 1556-5068 PB - Social Science Electronic Publ. CY - [Erscheinungsort nicht ermittelbar] ER - TY - JOUR A1 - Bender, Benedict A1 - Bertheau, Clementine A1 - Körppen, Tim A1 - Lauppe, Hannah A1 - Gronau, Norbert T1 - A proposal for future data organization in enterprise systems BT - an analysis of established database approaches JF - Information systems and e-business management N2 - The digital transformation sets new requirements to all classes of enterprise systems in companies. ERP systems in particular, which represent the dominant class of enterprise systems, are struggling to meet the new requirements at all levels of the architecture. Therefore, there is an urgent need to reconsider the overall architecture of the systems and address the root of the related issues. Given that many restrictions ERP pose on their adaptability are related to the standardization of data, the database layer of ERP systems is addressed. Since database serve as the foundation for data storage and retrieval, they limit the flexibility of enterprise systems and the chance to adapt to new requirements accordingly. So far, relational databases are widely used. Using a systematic literature approach, recent requirements for ERP systems were identified. Prominent database approaches were assessed against the 23 requirements identified. The results reveal the strengths and weaknesses of recent database approaches. To this end, the results highlight the demand to combine multiple database approaches to fulfill recent business requirements. From a conceptual point of view, this paper supports the idea of federated databases which are interoperable to fulfill future requirements and support business operation. This research forms the basis for renewal of the current generation of ERP systems and proposes to ERP vendors to use different database concepts in the future. KW - database KW - enterprise system KW - ERP system KW - requirements KW - problems KW - future Y1 - 2022 U6 - https://doi.org/10.1007/s10257-022-00555-6 SN - 1617-9846 SN - 1617-9854 VL - 20 SP - 441 EP - 494 PB - Springer CY - Heidelberg ER - TY - JOUR A1 - Dragičević, Nikolina A1 - Ullrich, André A1 - Tsui, Eric A1 - Gronau, Norbert T1 - A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario JF - Knowledge management research & practice : KMRP N2 - Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met. KW - Industry 4.0 KW - tacit knowledge KW - humans-in-the-loop KW - big data analytics KW - internet of things and services KW - smart grid Y1 - 2020 U6 - https://doi.org/10.1080/14778238.2019.1633893 SN - 1477-8238 SN - 1477-8246 VL - 18 IS - 2 SP - 199 EP - 213 PB - Taylor & Francis CY - London [u.a.] ER - TY - JOUR A1 - Gronau, Norbert A1 - Fröming, Jane A1 - Schmid, Simone T1 - Skill Management Y1 - 2006 ER - TY - JOUR A1 - Müller, C. A1 - Weber, Edzard A1 - Gronau, Norbert T1 - Requirements for an integration of methods analyzing social issues in knowledge organizations Y1 - 2006 ER - TY - JOUR A1 - Fröming, Jane A1 - Gronau, Norbert A1 - Schmid, Simone T1 - Improvement of Software Engineering by Modeling of Knowledge-Intensive Business Processes Y1 - 2006 ER - TY - JOUR A1 - Andresen, Katja A1 - Gronau, Norbert T1 - Managing Change : determining the adaptability of information systems Y1 - 2006 ER -