@inproceedings{SchoenmannLodesSchiendorfer2023, author = {Sch{\"o}nmann, Alexander and Lodes, Lukas and Schiendorfer, Alexander}, title = {KI-Augmentation der Reifegradbewertung von Technologien: K{\"o}nnen KI-Sprachmodelle Expertenwissen ersetzen?}, booktitle = {Vorausschau und Technologieplanung: 17. Symposium f{\"u}r Vorausschau und Technologieplanung, 14. und 15. September 2023, Berlin}, editor = {Dumitrescu, Roman and H{\"o}lzle, Katharina}, publisher = {Universit{\"a}t Paderborn}, address = {Paderborn}, isbn = {978-3-947647-32-3}, doi = {https://doi.org/10.17619/UNIPB/1-1821}, pages = {371 -- 387}, year = {2023}, language = {de} } @article{SchoenmannUlverichIntraetal.2016, author = {Sch{\"o}nmann, Alexander and Ulverich, Michael and Intra, Carsten and Reinhart, Gunther}, title = {Considering External and Internal Cycles of a Manufacturer for Planning and Evaluating Production Technologies}, volume = {2016}, journal = {Procedia CIRP}, number = {55}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2016.08.006}, pages = {47 -- 52}, year = {2016}, abstract = {Anticipating a production company's internal and external influencing factors is seen as key driver of the ability to act appropriately to sustain a competitive advantage within a dynamic market environment. In this connection, some factors within the production environment manifest as temporally and structurally recurring patterns (defined as cycles) and are predictable. Modeling and analyzing the cyclic behavior of products, technologies, and manufacturing resources, for example, facilitates a proactive planning approach to production technologies. This paper uses the example of the commercial vehicle industry to focus on a manufacturer's internal cyclic influencing factors. Based on the results of an industrial case study and a review of existing methods, a conceptual framework is presented for managing the complex interdependencies of the lifecycle of a product, its components, and production technologies.}, language = {en} } @article{SchoenmannDoblerHoferetal.2018, author = {Sch{\"o}nmann, Alexander and Dobler, Richard and Hofer, Andreas and Reinhart, Gunther}, title = {Planung und Bewertung von Produktionstechnologien}, volume = {113}, journal = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, subtitle = {Gestaltungswerkzeuge f{\"u}r das strategische Technologiemanagement}, number = {1-2}, publisher = {Carl Hanser Verlag}, address = {M{\"u}nchen}, issn = {2511-0896}, doi = {https://doi.org/10.3139/104.111860}, pages = {7 -- 11}, year = {2018}, language = {de} } @article{DenglerSchoenmannLohmannetal.2017, author = {Dengler, Christian and Sch{\"o}nmann, Alexander and Lohmann, Boris and Reinhart, Gunther}, title = {Cycle-oriented Evaluation of Production Technologies: Extending the Model of the Production Cycle}, volume = {2017}, journal = {Procedia CIRP}, number = {61}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2016.11.157}, pages = {493 -- 498}, year = {2017}, abstract = {Permanently evaluating and adopting suitable production technologies due to the dynamic environment is a major challenge for producing companies. However, influencing factors that show cyclic behavior can be anticipated and are predictable to a certain extent. Thus, lifecycle models facilitate the forecast of predictable factors and assist in deriving recommendations for action timely. The developed cycle-oriented planning and evaluation approach provides a cycle stage specific technology requirements profile. The conceptual framework ascertains the suitability of established production technologies using fuzzy sets to meet the vagueness inherent in soft requirements. The presented extension of the production cycle model provides a holistic framework to identify deficits concerning properties of established production technologies proactively. This enables a continuous technology evaluation approach resulting in the timely identification of technological need for action.}, language = {en} } @article{GreitemannWorbsHehletal.2015, author = {Greitemann, Josef and Worbs, Alexandra and Hehl, Martin and Sch{\"o}nmann, Alexander and Reinhart, Gunther}, title = {Technologieidentifikation - Methodik und Evaluation}, volume = {110}, journal = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, number = {10}, publisher = {Carl Hanser Verlag}, address = {M{\"u}nchen}, issn = {2511-0896}, doi = {https://doi.org/10.3139/104.111415}, pages = {630 -- 634}, year = {2015}, language = {de} } @article{SchoenmannPanzerReinhartetal.2015, author = {Sch{\"o}nmann, Alexander and Panzer, Nils and Reinhart, Gunther and Intra, Carsten and Wildmoser, Thomas}, title = {Bewertung des Einsatzes von Lasertechnologien in der Nutzfahrzeugindustrie}, volume = {110}, journal = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, number = {11}, publisher = {Carl Hanser Verlag}, address = {M{\"u}nchen}, issn = {2511-0896}, doi = {https://doi.org/10.3139/104.111430}, pages = {725 -- 729}, year = {2015}, language = {de} } @article{SchoenmannGerigkReinhartetal.2016, author = {Sch{\"o}nmann, Alexander and Gerigk, Michael and Reinhart, Gunther and Intra, Carsten and Sander, Florian and Kraus, Philip}, title = {Identifikation technologischer Modernisierungspotenziale in der Produktion}, volume = {111}, journal = {Zeitschrift f{\"u}r wirtschaftlichen Fabrikbetrieb}, subtitle = {Ein Beitrag zur Bewertung des Technologie- und Betriebsmittelbestands}, number = {9}, publisher = {Carl Hanser Verlag}, address = {M{\"u}nchen}, issn = {2511-0896}, doi = {https://doi.org/10.3139/104.111586}, pages = {535 -- 539}, year = {2016}, language = {de} } @inproceedings{BauerSchoenmannReinhart2017, author = {Bauer, Harald and Sch{\"o}nmann, Alexander and Reinhart, Gunther}, title = {Approach for model-based change impact analysis in factory systems}, booktitle = {2017 IEEE International Symposium on Systems Engineering (ISSE) Proceedings}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5386-3403-5}, doi = {https://doi.org/10.1109/SysEng.2017.8088301}, year = {2017}, language = {en} } @article{GreitemannStahlSchoenmannetal.2015, author = {Greitemann, Josef and Stahl, Benjamin and Sch{\"o}nmann, Alexander and Lohmann, Boris and Reinhart, Gunther}, title = {Strategic production technology planning using a dynamic technology chain calendar}, volume = {9}, journal = {Production Engineering: Research and Development}, number = {3}, publisher = {Springer}, address = {Berlin}, issn = {1863-7353}, doi = {https://doi.org/10.1007/s11740-015-0617-8}, pages = {417 -- 424}, year = {2015}, language = {en} } @inproceedings{Schoenmann2025, author = {Sch{\"o}nmann, Alexander}, title = {Transformation Needs Adoption: A Conceptual Framework to Develop Technology Implementation Strategies}, booktitle = {Production at the Leading Edge of Technology: Proceedings of the 14th Congress of the German Academic Association for Production Technology (WGP), Chemnitz University of Technology, December 2024}, editor = {Drossel, Welf-Guntram and Ihlenfeldt, Steffen and Dix, Martin}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-86893-1}, doi = {https://doi.org/10.1007/978-3-031-86893-1_68}, pages = {627 -- 635}, year = {2025}, language = {en} } @inproceedings{MoserWrobelSchoenmann2024, author = {Moser, Christina and Wrobel, Stefanie and Sch{\"o}nmann, Alexander}, title = {Open Foresight als Ansatz einer ressourceneffizienten strategischen Vorausschau f{\"u}r KMU}, booktitle = {Vorausschau und Technologieplanung : 18. Symposium f{\"u}r Vorausschau und Technologieplanung, 5. und 6. Dezember 2024, Berlin}, editor = {Dumitrescu, Roman and H{\"o}lzle, Katharina}, publisher = {Universit{\"a}t Paderborn}, address = {Paderborn}, isbn = {978-3-947647-44-6}, doi = {http://dx.doi.org/10.17619/UNIPB/1-2163}, pages = {193 -- 212}, year = {2024}, language = {de} } @article{HawerSchoenmannReinhart2018, author = {Hawer, Sven and Sch{\"o}nmann, Alexander and Reinhart, Gunther}, title = {Guideline for the Classification and Modelling of Uncertainty and Fuzziness}, volume = {2018}, journal = {Procedia CIRP}, number = {67}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2017.12.175}, pages = {52 -- 57}, year = {2018}, abstract = {Methods for managing uncertainty and fuzziness caused by a turbulent and volatile corporate environment play an important role for ensuring long-term competitiveness of producing companies. It is often difficult for practitioners, to choose the optimal approach for modelling existing uncertainties in a meaningful way. This contribution provides a guideline for classification of uncertain information and fuzzy data based on a flowchart and proposes suitable modelling methods for each characterized uncertainty. In addition, a measure for modelability, the degree to which an uncertain or fuzzy parameter can be modelled, is proposed. The method is based on a literature review comprising a discussion of the terms uncertainty and fuzziness.}, language = {en} } @book{Schoenmann2019, author = {Sch{\"o}nmann, Alexander}, title = {Antizipative Identifikation produktionstechnologischer Substitutionsbedarfe durch Verwendung von Zyklusmodellen}, publisher = {utzverlag}, address = {M{\"u}nchen}, isbn = {978-3-8316-4787-3}, doi = {https://nbn-resolving.de/urn:nbn:de:bvb:91-diss-20190214-1436035-1-4}, pages = {208}, year = {2019}, language = {de} } @article{SchoenmannDenglerReinhartetal.2018, author = {Sch{\"o}nmann, Alexander and Dengler, Christian and Reinhart, Gunther and Lohmann, Boris}, title = {Anticipative strategic production technology planning considering cyclic interactions}, volume = {2018}, journal = {CIRP Journal of Manufacturing Science and Technology}, number = {23}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1755-5817}, doi = {https://doi.org/10.1016/j.cirpj.2018.07.002}, pages = {118 -- 127}, year = {2018}, language = {en} } @article{SchoenmannDenglerIntraetal.2017, author = {Sch{\"o}nmann, Alexander and Dengler, Christian and Intra, Carsten and Reinhart, Gunther and Lohmann, Boris}, title = {Cycle management of manufacturing resources: identification and prioritization of investment needs}, volume = {11}, journal = {Production Engineering: Research and Development}, number = {1}, publisher = {Springer}, address = {Berlin}, issn = {1863-7353}, doi = {https://doi.org/10.1007/s11740-017-0713-z}, pages = {51 -- 60}, year = {2017}, language = {en} } @inbook{ZaehHoferSchoenmannetal.2018, author = {Z{\"a}h, Michael F. and Hofer, Andreas and Sch{\"o}nmann, Alexander and Schreiber, Sandra}, title = {Herausforderungen f{\"u}r den erfolgreichen Technologietransfer}, booktitle = {Ressourceneffizienter Leichtbau f{\"u}r die Mobilit{\"a}t : Wandel - Prognose - Transfer : FORELstudie 2018}, editor = {Gude, Maik and Lieberwirth, Holger and Meschut, Gerson and Tekkaya, Erman and Z{\"a}h, Michael F.}, address = {Dresden}, isbn = {978-3-86780-559-9}, doi = {https://doi.org/10.2314/KXP:1677943211}, pages = {39 -- 50}, year = {2018}, language = {de} } @inproceedings{SchoenmannBeckerReinhart2015, author = {Sch{\"o}nmann, Alexander and Becker, T. and Reinhart, Gunther}, title = {Unterst{\"u}tzung bei der Vorauswahl alternativer Produktionstechnologien - das Technologieradar als Kommunikationswerkzeug}, booktitle = {Vorausschau und Technologieplanung: 11. Symposium f{\"u}r Vorausschau und Technologieplanung, 29. und 30. Oktober 2015, Berlin}, editor = {Gausemeier, J{\"u}rgen}, publisher = {Heinz-Nixdorf-Institut}, address = {Paderborn}, isbn = {978-3-942647-66-3}, pages = {243 -- 258}, year = {2015}, language = {de} } @article{SchoenmannGreitemannReinhart2016, author = {Sch{\"o}nmann, Alexander and Greitemann, Josef and Reinhart, Gunther}, title = {Proactive Management of Production Technologies: A Conceptual Framework}, volume = {2016}, journal = {Procedia CIRP}, number = {52}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2016.08.011}, pages = {198 -- 203}, year = {2016}, abstract = {To gain competitive advantages within the growing challenges of the dynamic market environment producing companies must be agile, anticipative and adaptive. Current and future manufacturing requirements need to be fulfilled in the best manner. Consequently, the appropriateness of the applied production technologies has to be analyzed continuously. In order to identify technological need for action timely the interdependencies of temporally and structurally recurring patterns (defined as cycles) within the production environment have to be contemplated. Modeling and analyzing these cycles (e.g. technology lifecycle, manufacturing resource lifecycle) facilitates a proactive planning and an evaluation approach of production technologies. Therefore, this paper presents a conceptual framework supporting the timely adequate identification and evaluation of alternative production technologies to enhance the performance of producing companies.}, language = {en} } @inbook{DadashiSchoenmannMartinietal.2024, author = {Dadashi, Alireza and Sch{\"o}nmann, Alexander and Martini, Melanie and John, Marcus}, title = {Technologie-Reifegradbewertung im Gesundheitswesen - Eine bibliometrische Analyse}, booktitle = {Technologien und Technologiemanagement im Gesundheitswesen: Potenziale nutzen, L{\"o}sungen entwickeln, Ziele erreichen}, editor = {Pfannstiel, Mario A.}, publisher = {Springer Gabler}, address = {Wiesbaden}, isbn = {978-3-658-43860-9}, doi = {https://doi.org/10.1007/978-3-658-43860-9_12}, pages = {227 -- 250}, year = {2024}, language = {de} } @article{MartiniTietzeJohnetal.2024, author = {Martini, Melanie and Tietze, Frank and John, Marcus and Aristodemou, Leonidas and Sch{\"o}nmann, Alexander and Schimpf, Sven}, title = {Conceptualizing disruptive innovation paths, patent zero and patent-data based operationalization}, volume = {2024}, journal = {Centre for Technology Management working paper series}, number = {5}, publisher = {University of Cambridge}, address = {Cambridge}, issn = {2058-8887}, doi = {https://doi.org/10.17863/CAM.111428}, year = {2024}, abstract = {Disruptive innovations, as opposed to sustaining innovations, bring change to customers, markets, industries. This change is often quite sudden and drastic. Thus, the early identification of disruptive technologies can be crucial for managers and policy makers alike. In this work we propose a method to support the early identification of disruptive innovations. To do so we conceptualize a 5-phase pathway framework for disruptive innovation, then propose how to operationalize its phases using patent data. We combined the underlying theory by Christensen with different patent indicators from literature to develop an early warning system for disruptive innovations based on the underlying disruptive technologies. Additionally, we introduce the concept of patent zero and provide a first analysis.}, language = {en} }