@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} } @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{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}, number = {3}, publisher = {Springer}, address = {Heidelberg}, issn = {1863-7353}, doi = {https://doi.org/10.1007/s11740-015-0617-8}, pages = {417 -- 424}, year = {2015}, language = {en} } @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{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} } @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{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 Nature}, address = {Cham}, issn = {1863-7353}, doi = {https://doi.org/10.1007/s11740-017-0713-z}, pages = {51 -- 60}, year = {2017}, language = {en} } @article{SchmittGottwaltWinkleretal.2021, author = {Schmitt, Matthias and Gottwalt, Albin and Winkler, Jakob and Tobie, Thomas and Schlick, Georg and Stahl, Karsten and Tetzlaff, Ulrich and Schlip, Johannes and Reinhart, Gunther}, title = {Carbon Particle In-Situ Alloying of the Case-Hardening Steel 16MnCr5 in Laser Powder Bed Fusion}, volume = {11}, pages = {11060896}, journal = {Metals}, number = {6}, publisher = {MDPI}, address = {Basel}, issn = {2075-4701}, doi = {https://doi.org/10.3390/met11060896}, year = {2021}, abstract = {The carbon content of steel affects many of its essential properties, e.g., hardness and mechanical strength. In the powder bed fusion process of metals using a laser beam (PBF-LB/M), usually, pre-alloyed metal powder is solidified layer-by-layer using a laser beam to create parts. A reduction of the carbon content in steels is observed during this process. This study examines adding carbon particles to the metal powder and in situ alloying in the PBF-LB/M process as a countermeasure. Suitable carbon particles are selected and their effect on the particle size distribution and homogeneity of the mixtures is analysed. The workability in PBF-LB is then shown. This is followed by an evaluation of the resulting mechanical properties (hardness and mechanical strength) and microstructure in the as-built state and the state after heat treatment. Furthermore, potential use cases like multi-material or functionally graded parts are discussed.}, 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{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} } @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{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} } @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} }