@inproceedings{54738,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>A volatile environment and an increasing number of products along with a growing range of functions pose a challenge for companies when it comes to further development. Existing methods are no longer sufficient to cope with these challenges. In order to develop new methods, the process and challenges in the advancement of product portfolios must be understood. In this paper we conduct an interview study with ten experts to gain a better understanding of the advancement of product portfolios. Triggers, changes and actions are examined and goals and requirements for new methods are derived.</jats:p>}},
  author       = {{Schlegel, Michael and Just, Markus and Wiederkehr, Ingrid and Thümmel, Carsten and Kempf, Christoph and Koldewey, Christian and Dumitrescu, Roman and Albers, Albert}},
  booktitle    = {{Proceedings of the Design Society}},
  issn         = {{2732-527X}},
  location     = {{Cavtat, Dubrovnik, Croatia}},
  pages        = {{745--754}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Future-robust product portfolio development: insights into the advancement of product portfolios in companies – an interview study}}},
  doi          = {{10.1017/pds.2024.77}},
  volume       = {{4}},
  year         = {{2024}},
}

@inproceedings{56167,
  author       = {{Tissen, Denis and Wiederkehr, Ingrid and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{DS 130: Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th - 14th August 2024}},
  editor       = {{ Malmqvist, J. and Candi, M. and Saemundsson, R. J.  and Bystrom, F. and Isaksson, O.}},
  location     = {{Reykjavik, Iceland}},
  title        = {{{Spearhead Data-Driven Model-Based Systems Engineering: Interview Study on Definition, Preconditions, Challenges, Potentials, and Use Cases}}},
  doi          = {{ 10.35199/NORDDESIGN2024.58}},
  year         = {{2024}},
}

@inproceedings{56168,
  author       = {{Tissen, Denis and Wiederkehr, Ingrid and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  location     = {{Kyoto, japan}},
  title        = {{{Portals across domains: A data analysis task and documentation canvas for data-driven model-based systems engineering}}},
  year         = {{2024}},
}

@article{58475,
  author       = {{Schlegel, Michael and Just, Markus and Pfaff, Felix and Wiederkehr, Ingrid and Koldewey, Christian and Kempf, Christoph and Dumitrescu, Roman and Albers, Albert}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  pages        = {{555--560}},
  publisher    = {{Elsevier BV}},
  title        = {{{Future Robust Product Portfolio Development: Modelling Innovation Potentials in Product Portfolios}}},
  doi          = {{10.1016/j.procir.2024.03.036}},
  volume       = {{128}},
  year         = {{2024}},
}

@inproceedings{58470,
  author       = {{Schlegel, Michael and Müller, Moritz and Kempf, Christoph and Albers, Albert and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{The International Society for Professional Innovation Management (ISPIM)}},
  location     = {{Manchester }},
  pages        = {{1--18}},
  title        = {{{How to Derive Innovation Potentials Advancing the Product Portfolio?}}},
  year         = {{2024}},
}

@inproceedings{58480,
  author       = {{Schlegel, Michael and Pommerer, Emily and Kempf, Christoph and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman and Albers, Albert}},
  booktitle    = {{Proceedings of NordDesign 2024}},
  publisher    = {{The Design Society}},
  title        = {{{Developing a Process Model for Future-Robust Advancement of Product Portfolios}}},
  doi          = {{10.35199/norddesign2024.49}},
  year         = {{2024}},
}

@inbook{60161,
  author       = {{Tissen, Denis and Wiederkehr, Ingrid and Bernijazov, Ruslan and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{System Innovation for an Artificial Intelligence Era }},
  editor       = {{Kin-Tak Lam, Artde Donald and Prior, Stephen D. and Shen, Siu-Tsen and Young, Sheng-Joue and Ji, Liang-Wen}},
  publisher    = {{CRC Press}},
  title        = {{{Portals across domains: A data analysis task and documentation canvas for data-driven model-based systems engineering}}},
  year         = {{2024}},
}

@inbook{58449,
  author       = {{Wiederkehr, Ingrid and Tissen, Denis and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{System Innovation for an Artificial Intelligence Era}},
  editor       = {{Kin-Tak Lam, Artde Donald and Prior, Stephen D. and Shen, Siu-Tsen and Young, Sheng-Joue and Ji, Liang-Wen}},
  isbn         = {{9781003514831}},
  publisher    = {{CRC Press}},
  title        = {{{Sustinnovate or perish: Principles for sustainable innovation}}},
  year         = {{2024}},
}

@article{54567,
  author       = {{Schlegel, Michael and Wiederkehr, Ingrid and Rapp, Simon and Koldewey, Christian and Albers, Albert and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  location     = {{Kapstadt}},
  pages        = {{792--797}},
  publisher    = {{Elsevier BV}},
  title        = {{{Future-robust evolution of product portfolios: Need for action from theory and practice}}},
  doi          = {{10.1016/j.procir.2023.09.077}},
  volume       = {{120}},
  year         = {{2023}},
}

@article{54565,
  author       = {{Wiederkehr, Ingrid and Schlegel, Michael and Koldewey, Christian and Rapp, Simon and Dumitrescu, Roman and Albers, Albert}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  location     = {{Kapstadt}},
  pages        = {{816--821}},
  publisher    = {{Elsevier BV}},
  title        = {{{Interacting Forces for a Resilient, Future-robust Evolution of Product Portfolios}}},
  doi          = {{10.1016/j.procir.2023.09.081}},
  volume       = {{120}},
  year         = {{2023}},
}

@inproceedings{54569,
  author       = {{Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman and Schlegel, Michael and Albers, Albert }},
  location     = {{Ljubljana}},
  title        = {{{Bridging the Gap between Product Innovation and Product Planning: A literature-based Conceptual Investigation}}},
  year         = {{2023}},
}

@inproceedings{54571,
  author       = {{Schlegel, Michael and Wiederkehr, Ingrid and Rapp, Simon and Koldewey, Christian and Albers, Albert and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  editor       = {{Liu, Ang  and Kara, Sami}},
  issn         = {{2212-8271}},
  location     = {{Sydney}},
  pages        = {{764--769}},
  publisher    = {{Elsevier BV}},
  title        = {{{Ontology for Future-robust Product Portfolio Evolution: A Basis for the Development of Models and Methods}}},
  doi          = {{10.1016/j.procir.2023.01.017}},
  volume       = {{119}},
  year         = {{2023}},
}

@inproceedings{29380,
  abstract     = {{Cyber-physical systems generate and collect huge amounts of usage data during operation. Analyzing these data may enable manufacturing companies to identify weaknesses and learn about the users of their products. Such insights are valuable in the early phases of product development like product planning, as they facilitate decision-making for product improvement. The analysis and exploitation of usage data in product planning, however, is a new task for manufacturing companies. To reduce mistakes and improve the results, companies should build upon a suitable reference process model. Unfortunately, established models for analyzing data cannot be easily applied for product planning. In this paper, we propose a reference process model for usage data-driven product planning. It builds on three well-established models for analyzing data and addresses the unique characteristics of usage data-driven product planning. Finally, we customize the model for a manufacturing company and demonstrate how it could be implemented in practice.}},
  author       = {{Meyer, Maurice and Wiederkehr, Ingrid and Panzner, Melina and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Proceedings of the 55th Hawaii International Conference on System Sciences}},
  pages        = {{6105--6114}},
  title        = {{{A Reference Process Model for Usage Data-Driven Product Planning}}},
  year         = {{2022}},
}

@article{33705,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>The ongoing digitalization of products offers product managers new potentials to plan future product generations based on data from the use phase instead of assumptions. However, product managers often face difficulties in identifying promising opportunities for analyzing use phase data. In this paper, we propose a method for planning the analysis of use phase data in product planning. It leads product managers from the identification of promising investigation needs to the derivation of specific use cases. The application of the method is shown using the example of a manufacturing company.</jats:p>}},
  author       = {{Meyer, Maurice and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2732-527X}},
  journal      = {{Proceedings of the Design Society}},
  pages        = {{753--762}},
  publisher    = {{Cambridge University Press (CUP)}},
  title        = {{{Planning the Analysis of Use Phase Data in Product Planning}}},
  doi          = {{10.1017/pds.2022.77}},
  volume       = {{2}},
  year         = {{2022}},
}

@inproceedings{26839,
  author       = {{Menzefricke, Jörn Steffen and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  booktitle    = {{Procedia CIRP}},
  pages        = {{708--713}},
  title        = {{{Socio-technical risk management in the age of digital transformation – identification and analysis of existing approaches}}},
  volume       = {{vol. 100}},
  year         = {{2021}},
}

@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{37404,
  author       = {{Menzefricke, Jörn Steffen and Wiederkehr, Ingrid and Koldewey, Christian and Dumitrescu, Roman}},
  issn         = {{2212-8271}},
  journal      = {{Procedia CIRP}},
  keywords     = {{General Medicine}},
  pages        = {{241--246}},
  publisher    = {{Elsevier BV}},
  title        = {{{Maturity-based Development of Strategic Thrusts for Socio-technical Risks}}},
  doi          = {{10.1016/j.procir.2021.11.041}},
  volume       = {{104}},
  year         = {{2021}},
}