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Item type:Publication, Access status: with files , Validating a method to enable distributed development teams in an engineering simulatorTo improve distributed collaboration of product development teams, the EDiT method (Enabling Distributed Teams) was developed as support. To successfully introduce the EDiT method into development practice, it is essential to validate the method in a practice-oriented but at the same time controllable environment. Therefore, this contribution aims to validate the EDiT method in the laboratory-based validation environment of an engineering simulator. The engineering simulator covers the further development of a bending machine within two agile sprints in two days. Through the validation in a test and control group design, the effects of the EDiT method on the teams’ collaboration are investigated based on three criteria: functional fulfillment, monetary return, and improvement in fields of potential. The analysis of the functional fulfillment of the developed bending machines shows that only the test groups were able to achieve comprehensive functional fulfillment. Moreover, the test groups achieve an average monetary return of €21, whereas the control group recorded a loss of €3. Finally, a subjective evaluation of the satisfaction in the fields of potential based on a 1 (not satisfied) to 5 (totally satisfied) scale shows an improvement in all measured fields of potential for the test groups compared to only one improved field of potential for the control group.Publicationtype: Conference Paper62 49 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Data-driven modelling of the functional level in model-based systems engineering : optimization of module scopes in modular development(Elsevier, 2023); ; Scopus© Citations 1 59 48 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Process Model for the Data-driven Identification of Machine Function Usage for the Reduction of Machine Variants(2022-12); ; ; ; Current research has shown that a data-driven approach to identify customer usage patterns provides sufficient indication to cluster, predict and derive decisions. However, specific problems and questions arise due to the peculiarities of complex mechatronic systems. This research aims at the development of a process model to support a systematic reduction of machine variants by analyzing field-gathered data concerning machine function usage. To analyze factors influencing the data-driven identification of machine usage data, 21 semi-structured expert interviews are conducted. Based on the core statement given by the participants, six factors have derived that influence a data-driven identification of machine function usage. Further, based on the derived requirements, the CRISP-DM process model and the SPALTEN problemsolving methodology, an initial process model is developed. This model is evaluated by the conduction of multiple data analyses. To evaluate the designed process-model the effect of the derived analysis results on the potential reduction of variants is examined. The exclusion of two identified unused machine functions indicated a theoretical bisection of the variety of machine variants.Publicationtype: Conference Paper52 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Application and Adaptation of a Process Model for Data-Driven Validation of the System of Objectives(2022-10); ; ; ; Development practice shows that it is currently almost impossible for developers themselves to actively use data of customer's use of machines to derive decisions in the context of the development of mechatronic systems. In the light of the steadily growing data volumes and the associated costs, it makes sense for companies to make this data accessible to as many developers as possible. Therefore, an initial process model for the data-driven validation of the system of objectives is adapted to further improve the methodical support of developers to actively use machine usage data in the development process. To get a better understanding on how the initial process model for the data-driven validation needs to be adapted to meet the challenges developers are facing in using data, a validation study is executed. The study is carried out by 14 Data Science students under the supervision of company-internal domain experts. The main challenges as for example large data volumes, data availability, understanding of the technical system and unclear validation objectives can be assigned to the three causes: knowledge about data, organizations internal processes and combination of domain knowledge. To cope with the identified challenges, it is necessary to also incorporate the distinct selection of data and tools complemented by an estimation of the opportunities and risks of choosing a certain combination of data and tools. The study shows that adaptations to the process model increased the applicability, understandability and the perception of feeling supported in conducting analyses for validation purposes. It could be observed that a lack of knowledge about the technical system under investigation results in incomplete or incorrect information being shared. Therefore, a centralization of analysis activities in the development of mechatronic systems is not expedient.Publicationtype: Conference Paper37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , System Modelling in the Problem-Solving Process - A Human Oriented Approach to the Use of MBSE in Problem-Solving Processes(2022-08); ; ; ; In order to combine fast thinking and slow thinking in product development, a new approach to system modelling in the problem-solving process is developed. For this purpose, five different system modelling use cases are analysed and their activities are attritubted to to one of seven types of activities of the universal SPALTEN problem-solving-framework. As a result, this human-oriented approach can help understand whether activites are more related to synthesis or analysis and guide decisisons at which points in the process the use of Model Based Systems Engineering (MBSE) makes sense.Publicationtype: Conference Paper69 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , How to Use the Levers of Modularity Properly-Linking Modularization to Economic Targets(2022-07); ; ; ; Product developers are faced with the challenge of covering an ever-increasing external variety with as little internal variety as possible. Modular product architectures offer one way of resolving the challenge. They have an impact on all life phases and on economic targets. These effects are represented in the Impact Model of Modular Product Families. A large number of modularization methods can be found in the literature. The modularization methods consist of different activities: decomposition of product, analysis and revision of components, and reintegration to modules. Module drivers play a major role in reintegration, as they determine which components together form a module. It is not yet clear what effects different modularization methods involving different module drivers have on economic targets. For this reason, the module drivers are examined in their role as levers of modularity and integrated into the Impact Model via access points. By documenting the results in a specially developed uniform method step description and the Impact Model, we enable the selection of modularization methods with regard to their economic impact. The introduction is followed by the state of research. In Sec. 3, the research problem and the research approach are presented. In Sec. 4, the generic method step description is applied to seven modularization methods. Based thereon, the modularization methods are compared with each other with regard to their addressed economic objectives. In an explanatory example, the method selection made possible by this is presented. Finally, the results are discussed and an outlook is given.Publicationtype: Journal Article84 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Towards a System of Systems Engineering Architecture FrameworkModel-based approaches such as Model-Based Systems Engineering (MBSE) are widely regarded as a necessity to enable and support the development of ever more complex Systems of Systems (SoS). A key to the application of model-based development approaches in companies is the introduction of systems engineering architecture frameworks (SEAF) to structure the models of systems to be developed. This paper displays the research to develop a SEAF for SoS. Through workshops and interviews with 18 partners from industry and research, we derived perspectives to be considered for describing and modeling SoS. By analyzing existing SEAFs from literature we concluded, that not all perspectives we identified as relevant are covered by a single framework. Based on our research, especially the explicit consideration of SoS characteristics such as autonomy and interdependence, the integrated consideration of product, production system and validation system development, as well as consideration of different product generations and (re-)use of models appears to be not profoundly addressed. Advancing the state of research, we therefore propose a six-dimensional SoS engineering architecture framework to cover all perspectives we identified as relevant. The proposed framework can further serve as a reference for developers to derive and build specific frameworks tailored to their needs while at the same time supporting consistency, reusability and compatibility of the specific frameworks. The presented framework is an initial proposition which continuously being used and evaluated by its application to structure modeling for a variety of real systems from different industries. Insights from the application are fed back for its further development.Publicationtype: Conference Paper69 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Success Factors for the Validation of Requirements for New Product Generations - A Case Study on Using Field Gathered Data(2022-05); ; ; This paper investigates which activities and success factors can be identified for the data-driven validation of functional requirements. For this purpose, a case study is conducted at a machine tool manufacturer. To validate functional requirements by analyzing data of reference products, these activities must be performed iteratively: basic work, interdisciplinary work, programming and check results. For the successful execution of data-driven validation, the success factors: data origin, acceptance, data quality, knowledge about data and combination of domain knowledge must be considered.Publicationtype: Conference Paper64 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Enabling Distributed Teams - A Process Model for Early and Continuous Method Validation(2022-05); ; ; ; Neglecting challenges of distributed collaboration can lead to significant efficiency and effectiveness losses in agile, distributed development teams. The EDiT method provides support for improving distributed collaboration of development teams. To ensure acceptance, applicability, and contribution to success in industrial development practice, it is necessary to validate the EDiT method. The goal of this contribution is the development of a process model for early and incremental validation of the EDiT method in the field finally leading to a validation of the EDiT method itself.Publicationtype: Conference Paper54 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Approach for model-based requirements engineering for the planning of engineering generations in the agile development of mechatronic systemsThe crucial factor for a successful usage of modeling approaches of systems engineering is the interaction of language, method, and tool. For this, specific challenges arise for the application of MBSE in agile requirements engineering. From observations in agile development practice at a machine tool manufacturer, the challenges for model-based requirements engineering are described and each is assigned to its critical aspect of modeling: The language must formally represent the requirements data model, especially for planning engineering generations. The tool must support collaborative, interdisciplinary cooperation, and consider the dynamics of the requirements model during the development process. The method must individually support the requirements engineering activities, which are carried out several times in a sprint during the development process and must enable a target-oriented process for bundling the requirements into engineering generations. Taking these demands into account, an approach is then presented providing activity-based views in conjunction with activity steps based on a consistent ontology for the description of product requirements and verification activities. The activity steps are composed in activity patterns and support the user in making use of the views for modeling requirements for the engineering generations. The approach is implemented in the software JIRA at a machine tool manufacturer. The subsequent evaluation shows that the approach is used in development practice and offers the potential to plan engineering generation systematically and comprehensibly and to ensure a regular review of the implemented requirements.Publicationtype: Conference Paper40