TY - JOUR A1 - Schönmann, Alexander A1 - Ulverich, Michael A1 - Intra, Carsten A1 - Reinhart, Gunther T1 - Considering External and Internal Cycles of a Manufacturer for Planning and Evaluating Production Technologies JF - Procedia CIRP N2 - 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. UR - https://doi.org/10.1016/j.procir.2016.08.006 KW - manufacturing process KW - production planning KW - cycle management KW - commercial verhicle industry Y1 - 2016 UR - https://doi.org/10.1016/j.procir.2016.08.006 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-32465 SN - 2212-8271 VL - 2016 IS - 55 SP - 47 EP - 52 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Dengler, Christian A1 - Schönmann, Alexander A1 - Lohmann, Boris A1 - Reinhart, Gunther T1 - Cycle-oriented Evaluation of Production Technologies: Extending the Model of the Production Cycle JF - Procedia CIRP N2 - 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. UR - https://doi.org/10.1016/j.procir.2016.11.157 Y1 - 2017 UR - https://doi.org/10.1016/j.procir.2016.11.157 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-42635 SN - 2212-8271 VL - 2017 IS - 61 SP - 493 EP - 498 PB - Elsevier CY - Amsterdam ER - TY - CHAP A1 - Bauer, Harald A1 - Schönmann, Alexander A1 - Reinhart, Gunther T1 - Approach for model-based change impact analysis in factory systems T2 - 2017 IEEE International Symposium on Systems Engineering (ISSE) Proceedings UR - https://doi.org/10.1109/SysEng.2017.8088301 Y1 - 2017 UR - https://doi.org/10.1109/SysEng.2017.8088301 SN - 978-1-5386-3403-5 PB - IEEE CY - Piscataway ER - TY - JOUR A1 - Greitemann, Josef A1 - Stahl, Benjamin A1 - Schönmann, Alexander A1 - Lohmann, Boris A1 - Reinhart, Gunther T1 - Strategic production technology planning using a dynamic technology chain calendar JF - Production Engineering: Research and Development UR - https://doi.org/10.1007/s11740-015-0617-8 Y1 - 2015 UR - https://doi.org/10.1007/s11740-015-0617-8 SN - 1863-7353 SN - 0944-6524 VL - 9 IS - 3 SP - 417 EP - 424 PB - Springer CY - Berlin ER - TY - CHAP A1 - Schönmann, Alexander ED - Drossel, Welf-Guntram ED - Ihlenfeldt, Steffen ED - Dix, Martin T1 - Transformation Needs Adoption: A Conceptual Framework to Develop Technology Implementation Strategies T2 - 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 UR - https://doi.org/10.1007/978-3-031-86893-1_68 Y1 - 2025 UR - https://doi.org/10.1007/978-3-031-86893-1_68 SN - 978-3-031-86893-1 SP - 627 EP - 635 PB - Springer CY - Cham ER - TY - JOUR A1 - Hawer, Sven A1 - Schönmann, Alexander A1 - Reinhart, Gunther T1 - Guideline for the Classification and Modelling of Uncertainty and Fuzziness JF - Procedia CIRP N2 - 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. UR - https://doi.org/10.1016/j.procir.2017.12.175 KW - Uncertainty KW - Fuzziness KW - Classification KW - Modelling KW - Probability theory Y1 - 2018 UR - https://doi.org/10.1016/j.procir.2017.12.175 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-33572 SN - 2212-8271 VL - 2018 IS - 67 SP - 52 EP - 57 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schönmann, Alexander A1 - Dengler, Christian A1 - Reinhart, Gunther A1 - Lohmann, Boris T1 - Anticipative strategic production technology planning considering cyclic interactions JF - CIRP Journal of Manufacturing Science and Technology UR - https://doi.org/10.1016/j.cirpj.2018.07.002 KW - Industrial and Manufacturing Engineering Y1 - 2018 UR - https://doi.org/10.1016/j.cirpj.2018.07.002 SN - 1755-5817 VL - 2018 IS - 23 SP - 118 EP - 127 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Schönmann, Alexander A1 - Dengler, Christian A1 - Intra, Carsten A1 - Reinhart, Gunther A1 - Lohmann, Boris T1 - Cycle management of manufacturing resources: identification and prioritization of investment needs JF - Production Engineering: Research and Development UR - https://doi.org/10.1007/s11740-017-0713-z KW - Production management KW - Manufacturing process KW - Technology planning Y1 - 2017 UR - https://doi.org/10.1007/s11740-017-0713-z SN - 1863-7353 VL - 11 IS - 1 SP - 51 EP - 60 PB - Springer CY - Berlin ER - TY - JOUR A1 - Schönmann, Alexander A1 - Greitemann, Josef A1 - Reinhart, Gunther T1 - Proactive Management of Production Technologies: A Conceptual Framework JF - Procedia CIRP N2 - 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. UR - https://doi.org/10.1016/j.procir.2016.08.011 KW - Manufacturing process KW - Production planning KW - Technological modernization KW - Cycle management Y1 - 2016 UR - https://doi.org/10.1016/j.procir.2016.08.011 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-33565 SN - 2212-8271 VL - 2016 IS - 52 SP - 198 EP - 203 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Martini, Melanie A1 - Tietze, Frank A1 - John, Marcus A1 - Aristodemou, Leonidas A1 - Schönmann, Alexander A1 - Schimpf, Sven T1 - Conceptualizing disruptive innovation paths, patent zero and patent-data based operationalization JF - Centre for Technology Management working paper series N2 - 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. UR - https://doi.org/10.17863/CAM.111428 Y1 - 2024 UR - https://doi.org/10.17863/CAM.111428 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-50369 SN - 2058-8887 VL - 2024 IS - 5 PB - University of Cambridge CY - Cambridge ER -