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008			210930s2022 gw | s |||| 0|eng d
020			_a9783662642337
024	7		_a10.1007/978-3-662-64233-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA168 _b2022 EB
100	1		_aDambietz, Florian M. _eautor _9687039
245	1	0	_aPerformance Simulation of Modular Product Architectures by Model-based Configuration _cby Florian M. Dambietz
250			_a1st edition 2022
264		1	_aBerlin, Heidelberg _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 179 páginas) _b96 ilustraciones, 86 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_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).
988			_aSpringer_Engineering_2022
650		7	_2embne _9138451 _aIngeniería de sistemas
776	0	8	_iPrinted edition: _z9783662642320
776	0	8	_iPrinted edition: _z9783662642344
776	0	8	_iPrinted edition: _z9783662642351
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-662-64233-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2023 _dz _eu _zSI