@article{31691,
  abstract     = {{Sustainable product engineering is becoming increasingly important. This includes the development of environmentally friendly products and the design for recycling. In this paper a holistic method for the assessment of solution alternatives is presented, in which the stakeholder perspectives along the generic product lifecycle are taken into account. Finally, a new visualization is presented. By visualizing the results in the integrated sustainability triangle, decision-makers in product development can holistically assess the sustainability of the solution alternatives.}},
  author       = {{Gräßler, Iris and Hesse, Philipp}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  keywords     = {{sustainability, decision making, generic product lifecycle, design analysis, ecodesign}},
  pages        = {{1001--1010}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Approach to Sustainability-Based Assessment of Solution Alternatives in Early Stages of Product Engineering}}},
  doi          = {{10.1017/pds.2022.102}},
  volume       = {{2}},
  year         = {{2022}},
}

@article{31647,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Effect chain modeling approaches are applied to model cause-effect relations and analyze affected elements and dependencies. In this paper a systematic literature research is conducted to derive main characteristics and limitations of existing approaches. Then, the Model-based Effect Chain Analysis (MECA) method is introduced. Evaluation proves applicability of the method by means of a case example. This is done in the context of a project with a German automotive company. In the project 66 workshops were conducted to model certification-compliant effect chains in accordance to the UN ECE 156.</jats:p>}},
  author       = {{Gräßler, Iris and Wiechel, Dominik and Koch, Anna-Sophie and Preuß, Daniel and Oleff, Christian}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{1885--1894}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Model-Based Effect-Chain Analysis for Complex Systems}}},
  doi          = {{10.1017/pds.2022.191}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{58301,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The comprehensive implementation of digital technologies in product manufacturing leads to changes in engineering processes and requires new approaches to data management. An important role belongs to the processes of organizing the collection, storage and reuse of research data obtained and used in the process of product, system or technology development, taking into account the FAIR data principles. This article describes a Research Data Management System for the organization of documentation and measurement requests in the research and development of new oxygen-free production technologies.</jats:p>}},
  author       = {{Mozgova, Iryna and Altun, Osman and Sheveleva, T. and Castro, A. and Oladazimi, P. and Koepler, O. and Lachmayer, R. and Auer, S.}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{525--532}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Knowledge Annotation within Research Data Management System for Oxygen-Free Production Technologies}}},
  doi          = {{10.1017/pds.2022.54}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{58297,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Manually exploring the solution space for different variants of a product for a given set of requirements is ineffective regarding product development time and adaptation to dynamic customer requirements. Variant generation coupled to optimization algorithms offers possibilities to search the solution space in an automated way. This paper provides a framework to build a generative parametric design environment for functional assemblies by implementing analysis as well as synthesis methods in computer-aided tools. The procedure is presented using the example of a coffee machine.</jats:p>}},
  author       = {{Altun, Osman and Yinanc, Kutay and Mozgova, Iryna and Lachmayer, Roland}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  pages        = {{553--562}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Procedure to Create an Automated Design Environment for Functional Assemblies}}},
  doi          = {{10.1017/pds.2022.57}},
  volume       = {{2}},
  year         = {{2022}},
}

@article{26855,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Cyber-physical systems (CPS) are able the collect huge amounts of data about themselves, their users, and their environment during their usage phase. By feeding these usage data back into product planning, manufacturers can optimize their engineering and decision-making processes. Despite promising potentials, most manufacturers still do not analyze usage data within product planning. Also, research on usage data-driven product planning is scarce. Therefore, this paper aims to identify the main concepts, advantages, success factors and challenges of usage data-driven product planning. To answer the corresponding research questions, a comprehensive systematic literature review is conducted. From its results, a detailed description of usage data-driven product planning consisting of six main concepts is derived. Furthermore, taxonomies for the advantages, success factors and challenges of usage data-driven product planning are presented. The six main concepts and the three taxonomies allow for a deeper understanding of the topic while highlighting necessary future actions and research needs.</jats:p>}},
  author       = {{Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{3289--3298}},
  title        = {{{UNDERSTANDING USAGE DATA-DRIVEN PRODUCT PLANNING: A SYSTEMATIC LITERATURE REVIEW}}},
  doi          = {{10.1017/pds.2021.590}},
  year         = {{2021}},
}

@article{26990,
  abstract     = {{Digitalization and sustainability are major challenges for today's manufacturing industry. While digitalization is characterized by the incorporation of digital technologies in the products and services as well as the value creation architectures, sustainability requires them to balance economic, environmental and social issues. In both areas, especially Product Service Systems (PSS) are constantly gaining importance. This results in so called smart PSS that integrate digital technologies as well as sustainable PSS which aim at a positive impact on sustainability. Both two concepts cannot be clearly delimited since smart PSS might be designed for sustainability as well and sustainable PSS might be used with digital technologies. This paper aims to investigate the interrelations. To that, digitalization patterns of products and services are evaluated regarding their sustainable impact. The evaluation is conducted by a survey in research and industry. Furthermore, the design of the underlying value creation architecture is investigated. Here, a methodology is proposed enabling companies to optimize their value creation architecture.}},
  author       = {{Scholtysik, Michel and Reinhold, Jannik and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  keywords     = {{sustainability}},
  location     = {{Gothenburg, Sweden}},
  pages        = {{2871--2880}},
  title        = {{{SUSTAINABILITY THROUGH THE DIGITALIZATION: EXPLORING POTENTIALS AND DESIGNING VALUE CO-CREATION ARCHITECTURES FOR PRODUCT-SERVICE-SYSTEMS}}},
  doi          = {{10.1017/pds.2021.548}},
  volume       = {{1}},
  year         = {{2021}},
}

@article{24037,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Innovation projects are characterized by numerous uncertainties. Typical concepts in development management like the application of safety coefficients imply limitations of the solution space. In contrast, explicit handling of uncertainties can support engineers in understanding the problem space and in utilising the full potential of the design space along iterative product development steps. As a result from literature analysis, there is a lack of a support for product development that addresses the specific problem of uncertainty and risk in the context of requirement changes. The aim of the contribution at hand is to enhance the efficient development of complex interdisciplinary systems by enabling uncertainty handling in requirements change management. Based on a classification of uncertainty types resulting in a descriptive model, risk management measures are identified to support requirements engineers. The proposed method includes identification &amp; modelling, analysis, treatment and monitoring of risks and counter-measures. By applying this method, engineers are supported in adopting agile approaches and enabling flexible Requirements Engineering.</jats:p>}},
  author       = {{Gräßler, Iris and Pottebaum, Jens and Oleff, Christian and Preuß, Daniel}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  location     = {{Gothenburg}},
  pages        = {{1687--1696}},
  title        = {{{Handling of explicit Uncertainty in Requirements Change Management}}},
  doi          = {{10.1017/pds.2021.430}},
  volume       = {{1}},
  year         = {{2021}},
}