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020 _a9783662642337
024 7 _a10.1007/978-3-662-64233-7
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTA168
072 7 _aTGP
_2bicssc
072 7 _aTEC009060
_2bisacsh
072 7 _aTGP
_2thema
090 _aTA168EBK
100 1 _aDambietz, Florian M.
_eauthor.
_0(orcid)0000-0003-3039-4584
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aPerformance simulation of modular product architectures by model-based configuration
_h[electronic resource] /
_cby Florian M. Dambietz.
250 _a1st ed. 2022.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer Vieweg,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aProduktentwicklung und Konstruktionstechnik,
_x2662-7485 ;
_v21
505 0 _aIntroduction -- Challenges in modular product architecture alternative decisions -- State of the art -- Simulation approach for the performance analysis of modular product architectures -- Validation of the methods -- Conclusion and outlook.
520 _aThe use of modular product architectures can significantly increase the efficiency in manufacturing companies. Various modularization methods are used in the development of these architectures, but they always result in different architecture alternatives. This thesis describes the development of a model-based simulation for multi-dimensional performance assessment of these architecture alternatives with their corresponding modular kits. The central element of this simulation is formed by a model-based configuration system, identifying individually valid product variants using concepts and tools of Model-based-systems-engineering (MBSE). Based on the developed Hyperspace algorithm, a geometric-mathematical solution approach, these variants are then evaluated considering multiple parameters. By recursively configuring multiple customer requests using alternative modular kits, an individual performance criterion of these alternatives can be generated, including customer-, market- and company parameters. This thesis describes the development of the performance simulation on the basis of a simplified explanation example. A validation based on customer-specific laser welding systems is also shown. The author Dipl.-Wirtsch.-Ing. Florian M. Dambietz studied Business Administration and Engineering with a specialization in mechanical engineering and management at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He then began working in the areas of technical sales and complexity management at a special equipment manufacturing company for laser machine systems in 2018. He has continued his employment there as Head of Research and Development since 2020. In the period from 2018 to 2021, he dealt with the topics of variant management, Model-based systems engineering and the development of a model-based product configurator as part of his company-related doctorate at the Institute for Product Development and Mechanical Engineering Design (PKT) at the Hamburg University of Technology (TUHH).
650 0 _aIndustrial engineering.
_91495
650 0 _aProduction engineering.
_93058
650 0 _aMathematical models.
_923766
650 0 _aEngineering design.
_91727
650 1 4 _aIndustrial and Production Engineering.
650 2 4 _aMathematical Modeling and Industrial Mathematics.
650 2 4 _aEngineering Design.
_91727
653 0 _aModularity (Engineering)
653 0 _aSystems engineering
710 2 _aSpringerLink (Online service)
_959873
830 0 _aProduktentwicklung und Konstruktionstechnik,
_x2662-7485 ;
_v21
856 4 0 _uhttps://doi.org/10.1007/978-3-662-64233-7
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK
999 _c200457647
_d75859