{"id":64,"date":"2017-06-03T15:00:52","date_gmt":"2017-06-03T13:00:52","guid":{"rendered":"https:\/\/www.robust-reliability.com\/de\/?page_id=64"},"modified":"2017-10-12T17:07:29","modified_gmt":"2017-10-12T15:07:29","slug":"robust-design-defintionen","status":"publish","type":"page","link":"https:\/\/www.robust-reliability.com\/de\/robust-design\/english-robust-designb\/","title":{"rendered":"Robust Design Definitonen"},"content":{"rendered":"

Auf dieser Seite\u00a0werden die Definitionen zum Begriff Robustheit<\/em> (eng. robustness<\/em>) und\u00a0Robust Design<\/em>, die in der Literatur zu finden sind, aufgelistet, vergleiche Tabelle 1.1.1. Da die vorhandene\u00a0Anzahl an Definitionen den Umfang der Arbeit \u00fcbersteigt, wird lediglich jede direkte\u00a0Beschreibung des Begriffs \u201eRobustheit\u201c<\/em> bzw. des dazugeh\u00f6rigen Adjektivs \u201erobust\u201c<\/em> als\u00a0Definition behandelt. Au\u00dferdem gilt eine Beschreibung von Robust Design<\/em> bzw. der Robust\u00a0Design Methodik<\/em> als g\u00fcltiger Treffer. Eine Zusammenfassung aller Definitionen bez\u00fcglich ihres Erscheinungsjahres gibt Bild 1.1.1 wieder. Eine H\u00e4ufigkeitsverteilung wird in Bild 1.1.2 dargestellt.<\/p>\n

\"\"<\/p>\n

Bild 1.1.1: Chronologische Defintions\u00fcbersicht\u00a0 – Quelle: Kemmler, Dissertation 2018<\/em><\/p>\n

\"\"<\/p>\n

Bild 1.1.2: H\u00e4ufigkeitsverteilung der Robust Design<\/em> Definitionen\u00a0 – Quelle: Kemmler, Dissertation 2018<\/em><\/p>\n

Die chronologische Auflistung der Quellen nach ihrer Erstver\u00f6ffentlichung zeigt, dass die\u00a0erste Definition aus dem Buch \u201eIntroduction to Quality Engineering: Designing Quality into\u00a0<\/em>Products and Processes\u201c<\/em> vom japanischen Ingenieur Taguchi aus dem Jahre 1986 stammt.\u00a0Die aktuellste Definition wurde im Jahre 2015 von Stefan Kemmler im Paper \u201eComparison of\u00a0<\/em>Taguchi Method and Robust Design Optimization (RDO)\u201c<\/em> ver\u00f6ffentlicht. Das Ergebnis der\u00a0zeitlichen Betrachtung zeigt, dass die Zahl der Definitionen zum Begriff Robustheit\/Robust\u00a0<\/em>Design<\/em> mit einer Anzahl von \u00fcber 40 Treffern in der Literatur sehr hoch ist. Des Weiteren\u00a0wird im betrachteten Zeitraum durchschnittlich fast einmal pro Jahr mindestens eine neue\u00a0Definition ver\u00f6ffentlicht. Dies deutet darauf hin, dass Robustheit seit \u00fcber 30 Jahren ein\u00a0relevantes Thema im Maschinenbau ist.<\/p>\n

Tabelle 1.1.1: Definitionen zum Begriff Robustheit\/Robust Design – Quelle: Kemmler, Dissertation 2018<\/em><\/p>\n

\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\n\t
Autor<\/th>Definition(en)<\/th>Quelle<\/th>\n<\/tr>\n<\/thead>\n
Arvidsson<\/td>\u201eRobust Design Methodology means systematic efforts to achieve insensitivity to noise factors. These efforts are based on an awareness of variation and are applicable in all stages of product design.\u201c
\n
\n\u201eThrough this review four central principles of robust design areidentified: awareness of variation, insensitivity to noise factors, application of various methods, and application in all stages of a design process.\u201c<\/td>		[1]<\/td>\n<\/tr>\n
Arvidsson<\/td>\u201eWe characterize Robust Design Methodology by three principles: awareness of variation, insensitivity to noise factors, and continuous applicability.\u201c
\n
\n\u201eRobust design...has been developed to improve the quality and reliability of the product in engineering.\u201c<\/td>		[2]<\/td>\n<\/tr>\n
Abraham<\/td>\u201eThis is a special experimental arrangement in which the opportunity is provided to find controllable factors which can be used to reduce variation induced by the noise factors.\u201c<\/td>[3]<\/td>\n<\/tr>\n
Bergmann<\/td>\u201eRobust Design Methodology is a systematic search for design solutions insensitive to variation in usage, manufacturing and deterioration of products as well as to varying system environments.\u201c
\n
\n\u201eRobust Design Methodology means systematic efforts to achieve insensitivity to noise factors. These efforts are founded on an awareness of variation and can be applied in all stages of product design.\u201c<\/td>		[4]<\/td>\n<\/tr>\n
Bosch<\/td>\u201eRobust Design ist, wenn ein Produkt\/Prozess eine gleichm\u00e4\u00dfig hohe Qualit\u00e4t liefert, trotz bestehender Abweichungen und Streuungen.\u201c<\/td>[5]<\/td>\n<\/tr>\n
Bosch<\/td>\u201eRobustheit = F\u00e4higkeit einer Betrachtungseinheit, auch bei Verletzung der spezifizierten Randbedingungen vereinbarte Funktion zu erf\u00fcllen bzw. ihre Funktionsf\u00e4higkeit zu erhalten\u201c<\/td>[6]<\/td>\n<\/tr>\n
Box<\/td>\u201e...minimizing sensitivity by appropriate choice specifications\u201c
\n
\n\u201eRobustness means insensitiviry to variation.\u201c<\/td>		[7]<\/td>\n<\/tr>\n
Buyske<\/td>\u201eRobust Design is a technique that reduces variation in a product by reducing the sensitivity of the design of the product to sources of variation rather than by controlling their sources.\u201c
\n
\n\u201eThe end result is a robust design, a design that has minimum sensitivity to variations in uncontrollable factors. \u201c<\/td>		[8]<\/td>\n<\/tr>\n
Chen<\/td>\u201eThe fundamental principle in robust design is to improve the quality of a product by minimizing the effects of variation without eliminating these causes.\u201c<\/td>[9]<\/td>\n<\/tr>\n
Du<\/td>\u201eif the system output is considered as the constraint\u201c<\/td>[10]<\/td>\n<\/tr>\n
Eifler<\/td>\u201eInitially RDM was centered on the concept of quantifying the societal loss due to variation in functional performance and on the use of experimental analysis to select values of design parameters, such that the resulting design became insensitive to changes in the design parameters.\u201c<\/td>[11]<\/td>\n<\/tr>\n
El-Haik<\/td>\u201eRobustness means that a design solution entity delivers its intended functional requirements under all operating conditions (different causes of variation) throughout its intended life.\u201c<\/td>[12]<\/td>\n<\/tr>\n
Fowlkes<\/td>\u201eRobust Design is a disciplined engineering process that seeks to find the best expression of a product design. \"Best\u00efs carefully defined to mean that the esign is the lowest-cost solution to the product design specification, which is based on the customer needs.\u201c<\/td>[13]<\/td>\n<\/tr>\n
Fritzsche<\/td>\u201eUnter Robustheit ist die Differenz zwischen der Belastung auf das Produkt und die Belastbarkeit zu verstehen. Einfach ausgedr\u00fcckt kann die Robustheit auch als Abstand zur Fehlerm\u00f6glichkeit beschrieben werden.\u201c<\/td>[14]<\/td>\n<\/tr>\n
Gerhorst<\/td>\u201eThe main aspect of the optimization process to be discussed here will be stratified part load robustness which means misfire-free and smooth operation with a low level of cyclic fluctuations.\u201c<\/td>[15]<\/td>\n<\/tr>\n
Goh<\/td>\u201eRobust design succeeded in expanding the horizon of industrial experimentation in two significant ways:
\n
\n1. The application of design of experiments takes place much earlier, from the fine-tuning of existing physical systems to the optimization of new products or processes at their design stage: This would avoid costly changes due to quality problems that are realized after production is already in full swing.
\n
\n2. By way of including, usually by simulation, potential noise factors in the experiments, designs can be suitably adjusted beforehand to counteract the impact of anticipated noise both during manufacturing and throughout the product life: this extends the contribution of design of experiments from a static quality focus to the realm of reliability engineering.\u201c<\/td>		[16]<\/td>\n<\/tr>\n
Gremyr<\/td>\u201emethodology for gaining time, reducing costs and winning quality\u201c
\n
\n\u201ea means to achieve insensitivity to variation and that further facilitates the listing of important factors in early phases of product development.\u201c
\n
\n\u201e. . . to deliver customer expectations at a profitable cost, regardless
\nof: customer usage, manufacturing variation, supplier variation, distribution, delivery and installation variation and degradation over product life.\u201c
\n
\n\u201eTo the company, RDM means delivering customer expectations at a profitable cost, regardless of customer usage, manufacturing variation, supplier variation, distribution, delivery and installation variation and degradation over the product\u2019s life.\u201c<\/td>		[17]<\/td>\n<\/tr>\n
Hasenkamp<\/td>\u201eThe basic techniques and tools to be used for this during late stages of the development process are since quite long well known and its systematic usage is often called Robust Design Methodology or, in Japan, Quality Engineering.\u201c
\n
\n\u201eHere, a robust design constitutes a product that performs on target despite presence of noise factors, and consequently Robust Design Methodology (RDM) could be defined as a methodology for designing
\nproducts in a way that makes their performance insensitive to noise factors.\u201c
\n
\n\u201eRDM can be described as a means of designing products in a way that makes their performance insensitive to noise factors.\u201c<\/td>		[18]<\/td>\n<\/tr>\n
Hasenkamp<\/td>\u201eRobust design methodology (RDM) comprises systematic efforts to achieve insensitivity of products or processes to sources of unwanted variation.\u201c<\/td>[19]<\/td>\n<\/tr>\n
Hu<\/td>\u201eWithin a given structure or design, how an engineered system can be optimized to desensitize the side effects of uncontrollable conditions.\u201c<\/td>[20]<\/td>\n<\/tr>\n
Hu<\/td>\u201eRobust design, also known as Taguchi parameter design, can be used to achieve robust reliability; that is, to make a product\u2019s reliability insensitive to uncontrollable user environments.\u201c
\n
\n\u201eThe ability to transform input to output as closely to ideal function as possible in the presence of uncontrollable user environment.\u201c<\/td>		[21]<\/td>\n<\/tr>\n
ISO 26262-1<\/td>\u201edesign that has the ability to function correctly in the presence of invalid inputs or stressful environmental conditions.\u201c
\n
\n\u201efor software, robustness is the ability to respond to abnormal inputs and conditions\u201c
\n
\n\u201efor hardware, robustness is the ability to be immune to environmental
\nstress and stable over the service life within design limits\u201c
\n
\n\u201ein the context of ISO 26262, robustness is the ability to provide safe behaviour at boundaries\u201c<\/td>		[22]<\/td>\n<\/tr>\n
Johannesson<\/td>\u201eMaking the design insensitive to unavoidable variation is called robust design and is handled by (i) identification and classification of variation, (ii) design of experiments to find robust solutions, and (iii) statistically based estimations of proper safety margins.\u201c<\/td>[23]<\/td>\n<\/tr>\n
Kamiske<\/td>\u201eEin Produkt ist robust, wenn die gew\u00fcnschte Funktionalit\u00e4t und Performance des Produkts unabh\u00e4ngig von der Variation der Rohmaterialien, der Streuung des Herstellungsprozesses und den unterschiedlichen
\nBetriebsbedingungen des Produkts ist.\u201c
\n
\n\u201eRobustheit ist die F\u00e4higkeit eines Produkts\/Systems, seine Funktion auch bei Schwankungen der Umgebungsbedingungen aufrechtzuerhalten\u201c<\/td>		[24]<\/td>\n<\/tr>\n
Kemmler<\/td>\u201eOne approach to designing such products is the Robust Design Method (RDM), whose aim is to create products insensitive to uncontrollable variations (noise factors).\u201c<\/td>[25]<\/td>\n<\/tr>\n
Kitano<\/td>\u201eAn ability of the system to maintain its functions even under external and internal perturbations.\u201c<\/td>[26]<\/td>\n<\/tr>\n
Kolmer<\/td>\u201eF\u00e4higkeit eines Systems, seine Funktion auch bei Schwankungen der Umgebungsbedingungen aufrecht zu erhalten.\u201c<\/td>[27]<\/td>\n<\/tr>\n
Melvin<\/td>\u201eThe premise of robust design is that product variance is caused by noise factors, which may come from many places, throughout the life of the product, and through experimentation it is possible to make the product and production process less sensitive to sources of variation, so it may always achieve its desired purpose.\u201c<\/td>[28]<\/td>\n<\/tr>\n
MIT<\/td>\u201eA Robust Product or Processperforms correctly, even in the presence of noise factors.\u201c<\/td>[29]<\/td>\n<\/tr>\n
Mohsen<\/td>\u201eA robust system is expected to perform its intended function under all operating conditions (different causes of variations) throughout its intended life without necessarily eliminating noise factors (noise factors are defined as disturbance factors that cause system functional variability).\u201c<\/td>[30]<\/td>\n<\/tr>\n
O\u2019Connor<\/td>\u201eAn important reliability feature of software system design is robustness, the term used to describe the capability of a program to withstand error conditions without serious effect, such as becoming locked in a loop or \u2018crashing\u2019.\u201c<\/td>[31]<\/td>\n<\/tr>\n
Park<\/td>\u201eIn robust design, quality improvement is attained by minimizing the change of product performance when there are tolerances on design variables or unknown environmental perturbation.\u201c<\/td>[32]<\/td>\n<\/tr>\n
Phadke<\/td>\u201eRobust Design is an engineering methodology for improving productivity during research and development so that high-quality products can be produced quickly and at low cost.\u201c<\/td>[33]<\/td>\n<\/tr>\n
Pham<\/td>\u201eRobust design is a systematic methodology that uses statistical experimental design to improve the design of products and processes.\u201c<\/td>[34]<\/td>\n<\/tr>\n
Reuter<\/td>\u201eRobustness means finding an acceptable balance between the scatter of the input (=system parameters) and the scatter of the performance.\u201c<\/td>[35]<\/td>\n<\/tr>\n
Stelling<\/td>\u201eIn general, robustness means the persistence of a system\u2019s characteristic behavior under perturbations or conditions of uncertainity.\u201c<\/td>[36]<\/td>\n<\/tr>\n
Stockinger<\/td>\u201eRobust Design ist eine Methode zur optimalen Auslegung von Produkten und Prozessen, so dass sie unempfindlich gegen \u00fcber Variationen von Eingangsgr\u00f6\u00dfen und Randbedingungen sind. Die Methodik wird eingesetzt, um die Qualit\u00e4t von Produkten und Prozessen zu steigern.\u201c<\/td>[37]<\/td>\n<\/tr>\n
Suh<\/td>\u201eRobust design is defined as the design that satisfies the functional requirements even though the design parameters and the process variables have large tolerances for ease of manufacturing and assembly. This definition of robust design states that the information content is minimized.\u201c
\n
\n\u201ea design that can always satisfy the functional requirements (i.e. 100% of the time) by tolerating large variation in design parameters and process variables.\u201c<\/td>		[38]<\/td>\n<\/tr>\n
Taguchi<\/td>\u201eRobustness is the state where the technology, product, or process performance is minimally sensitive to factors causing variability (either in the manufacturing or the user\u2019s environment) and aging at the lowest unit manufacturing cost.\u201c<\/td>[39]<\/td>\n<\/tr>\n
Taguchi<\/td>\u201ea product whose performance is minimally sensitive to factors causing variability (at the lowest possible cost)\u201c<\/td>[40]<\/td>\n<\/tr>\n
Tsui<\/td>\u201eRobust design is an important method for improving product quality, manufacturability and reliability at low cost. The main idea of robust design is to reduce the output variation from the target (the desired output) by making the performance insensitive to noise factors such as manufacturing imperfections, environmental
\n variations and deterioration.\u201c<\/td>		[41]<\/td>\n<\/tr>\n
Tsui<\/td>Robust design is an efficient and systematic methodology that applies statistical experimental design for improving product and manufacturing process design.\u201c<\/td>[42]<\/td>\n<\/tr>\n
VDI 3542-4<\/td>\u201eRobustheit meint demgegen\u00fcber, dass ein System Bedienfehler verzeiht und gegen\u00fcber Abweichungen von den spezifizierten Betriebsbedingungen weitgehend unempfindlich ist.\u201c<\/td>[43]<\/td>\n<\/tr>\n
VDI-GIS<\/td>\u201eF\u00e4higkeit eines Objekts, auch bei Verletzung der spezifizierten Randbedingungen vereinbarte Funktionen zu erf\u00fcllen bzw. seine Funktionsf\u00e4higkeit zu erhalten.\u201c<\/td>[44]<\/td>\n<\/tr>\n
Waldherr<\/td>\u201eA robustness measure is defined by the extent of parametric uncertainty for which no local bifurcations occur.\u201c<\/td>[45]<\/td>\n<\/tr>\n
Werdich<\/td>\u201eUnter robustem Design wird ein Design verstanden, welches gegen Schwankungen von St\u00f6rgr\u00f6\u00dfen (z. B. Toleranz\u00fcberschreitungen einzelner Merkmale) unempfindlich reagiert, d. h. die geforderten und erwarteten Funktionen auch dann nachweislich erf\u00fcllt.\u201c<\/td>[46]<\/td>\n<\/tr>\n
Wiebel<\/td>\u201eEin Produkt wird als robust bezeichnet, wenn es sich unempfindlich gegen\u00fcber den auftretenden Unsicherheiten seiner Lebenslaufprozesse verh\u00e4lt.\u201c<\/td>[47]<\/td>\n<\/tr>\n
Will<\/td>\u201eDie Robustheit charakterisiert dabei die Empfindlichkeit der Systemantworten gegen\u00fcber unvermeidlichen, in Natura vorhandenen Streuungen in den Umweltbedingungen, \u00fcbertragen auf die Inputvariablen der rechnerischen Simulation.\u201c<\/td>[48]<\/td>\n<\/tr>\n
Yang<\/td>\u201eRobust design is a powerful technique for improving reliability at low cost in a short time. Robust design is a statistical engineering methodology for optimizing product or process conditions so that product performance is minimally sensitive to various sources of variation.\u201c
\n
\n\u201eRobustness of a diagnostic system is the capability of the system to detect the true states of the prime system consistently in the presence of noise sources.\u201c<\/td>		[49]<\/td>\n<\/tr>\n
Quellen:<\/strong><\/td>
\n<\/td>\n<\/tr>\n
[1]<\/td>ARVIDSSON, M. ; GREMYR, I. ; HASENKAMP, T. : An operationalization of Robust Design Methodology<\/td>\n<\/tr>\n
[2]<\/td>ARVIDSSON, M. ; GREMYR, I. : Principles of Robust Design Methodology. In: www.interscience.wiley.com (2007)<\/td>\n<\/tr>\n
[3]<\/td>ABRAHAM, B. ; BRAJAC, M. : Variation Reduction and Robust Designs. In: Taylor & Francis Group (2000)<\/td>\n<\/tr>\n
[4]<\/td>BERGMAN, B. ; MAR\u00c9, J. de ; LOR\u00c9N, S. ; SVENSSON, T. : Robust Design Methodology for Reliability. John Wiley & Sons, 2009<\/td>\n<\/tr>\n
[5]<\/td>BOSCH: Robust Design als Design for Six Sigma Baustein bei der Robert Bosch GmbH. In: www.dynardo.de\/library (2010)<\/td>\n<\/tr>\n
[6]<\/td>N.N.: Qualit\u00e4tssicherung der Bosch-Gruppe Nr. 1-12. In: Robert Bosch GmbH (1990)<\/td>\n<\/tr>\n
[7]<\/td>BOX, G. ; FUNG, C. A.: Quality Quandaries- Is your Robust Design Procedure Robust? In: Taylor & Francis Group (2007)<\/td>\n<\/tr>\n
[8]<\/td>BUYSKE, S. ; TROUT, R. : Robust Design and Taguchi Methods. In: Rutgers (2001)<\/td>\n<\/tr>\n
[9]<\/td>CHEN,W. ; ALLEN, J. K. ; TSUI, K.-L. ; MISTREE, F. : A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors.<\/td>\n<\/tr>\n
[10]<\/td>DU, X. ; CHEN, W. : A most probable point based method for uncertainity analysis. In: Design Engineering Technical Conferences (2000)<\/td>\n<\/tr>\n
[11]<\/td>EIFLER, T. ; EBRO, M. ; HOWARD, T. J.: A classification of the industrial relevance of Robust Design Methods. In: International Conference on Engineering Design (2013)<\/td>\n<\/tr>\n
[12]<\/td>EL-HAIK, B. S.: Axiomatic Quality. John Wiley & Sons, 2005<\/td>\n<\/tr>\n
[13]<\/td>FOWLKES, W. Y. ; CREVELING, C. M.: Engineering Methods for Robust Product Design. Addison-Wesley Publishing Company, 1995<\/td>\n<\/tr>\n
[14]<\/td>FRITZSCHE, R. : Erstellung von Parameter-Diagrammen in der Automobilindustrie. Automobiltechnische Zeitschrift (ATZ), 2006<\/td>\n<\/tr>\n
[15]<\/td>GERHORST, F. ;WIRTH, M. ; KUHLBACH, K. : Application of Monte-Carlo-Simulation and Most Probable Limit State on Gasoline DI Combustion System Optimization. In: SAE International (2010)<\/td>\n<\/tr>\n
[16]<\/td>GOH, T. N.: The Role of Statistical Design of Experiments in Six Sigma: Perspectives of a Practitioner. In: Taylor & Francis Group (2007)<\/td>\n<\/tr>\n
[17]<\/td>GREMYR, I. ; HASENKAMP, T. : Practices of robust design methodology in practice. In: The TQM Journal (2011)<\/td>\n<\/tr>\n
[18]<\/td>HASENKAMP, T. : Designing for Robustness. Chalmers University of Technology, 2009<\/td>\n<\/tr>\n
[19]<\/td>HASENKAMP, T. ; ARVIDSSON, M. ; GREMYR, I. : A review of practices for Robust Design Methodology. In: Taylor & Francis Group (2008)<\/td>\n<\/tr>\n
[20]<\/td>HU, M. : Robustness Thinking in Design for Reliability. In: AR&MS (2014)<\/td>\n<\/tr>\n
[21]<\/td>HU, M. ; YANG, K. ; TAGUCHI, S. : Enhancing Robust Design with the Aid of TRIZ and Axiomatic Design (Part I). In: TRIZ Journal (2000)<\/td>\n<\/tr>\n
[22]<\/td>ISO 26262-1: Road vehicles- Functional safety- Part 1: Vocabulary \/ ISO. 2011.<\/td>\n<\/tr>\n
[23]<\/td>JOHANNESSON, P. ; BERGMAN, B. ; SVENSSON, T. ; ARVIDSSON, M. ; L\u00d6NNQVIST, A. ; BARONE, S. ; MAR\u00c9, J. de: A Robustness Approach to Reliability. In: Quality and Reliability Engineering International (2012)<\/td>\n<\/tr>\n
[24]<\/td>KAMISKE, G. F.: Handbuch QM-Methoden: Die richtige Methode ausw\u00e4hlen und erfolgreich umsetzen. 2. Carl Hanser Verlag GmbH & Co. KG, 2013<\/td>\n<\/tr>\n
[25]<\/td>KEMMLER, S. ; FUCHS, A. ; LEOPOLD, T. ; BERTSCHE, B. : Comparison of Taguchi Method and Robust Design Optimization (RDO). In: Weimar Optimization and Stochastic Days (2015)<\/td>\n<\/tr>\n
[26]<\/td>KITANO, H. : System Drug Design. In: The Systems Biology Institute<\/td>\n<\/tr>\n
[27]<\/td>KOLMER, A. : Robuist Design- Robustheitsma\u00dfe. In: Fraunhofer (2008)<\/td>\n<\/tr>\n
[28]<\/td>MELVIN, J. W.: Axiomatic System Design: Chemical Mechanical Polishing Machine Case Study, Massachusetts Institute of Technology, Diss., 2003<\/td>\n<\/tr>\n
[29]<\/td>MIT: Robust Design: Experiments for Better Products. In: MIT<\/td>\n<\/tr>\n
[30]<\/td>MOHSEN, H. A. ; CEKECEK, E. : Thopughts ion the use of Axiomatic Design with the product development process. In: First International Conference on Axiomatic Design (2000)<\/td>\n<\/tr>\n
[31]<\/td>O\u2019CONNOR, P. : Practical Reliability Engineering. John Wiley & Sons, 2012<\/td>\n<\/tr>\n
[32]<\/td>PARK, G.-J. : Analytic Methods for Design Practice. Springer-Verlag GmbH, 2007<\/td>\n<\/tr>\n
[33]<\/td>PHADKE, M. S.: Quality Engineering using Robust Design. AT&T Bell Laboratories, 1989<\/td>\n<\/tr>\n
[34]<\/td>PHAM, H. : Springer Handbook of Engineering Statistics. Springer-Verlag GmbH, 2006<\/td>\n<\/tr>\n
[35]<\/td>REUTER, R. ; H\u00dcLSMANN, J. : Achieving design targets through stochastic simulation. In: Madymo\u2019s User\u2019s Conference (2000)<\/td>\n<\/tr>\n
[36]<\/td>STELLING, J. ; SAUER, U. ; SZALLASI, Z. ; DOYLE, F. J. ; DOYLE, J. : Robustness of Cellular Functions. In: Max Planck Institute for Dynamics of Complex Technical Systems (2004)<\/td>\n<\/tr>\n
[37]<\/td>STOCKINGER, A. : Computer Aided Robust Design- Verkn\u00fcpfung rechnerunterst\u00fctzer Entwicklung und virtuelle Fertigung als Baustein des Toleranzmanagements, Universit\u00e4t Erlangen-N\u00fcrnberg, Diss., 2010<\/td>\n<\/tr>\n
[38]<\/td>SUH, N. P.: Axiomatic Design: Advances and Applications. Oxford University Press, 2001<\/td>\n<\/tr>\n
[39]<\/td>TAGUCHI, G. : Introduction to Quality Engineering: Designing Quality into Products and Processes. Asian Productivity Organization, 1986<\/td>\n<\/tr>\n
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<\/th><\/th>\n<\/tr>\n<\/tfoot>\n<\/table>\n<\/p>","protected":false},"excerpt":{"rendered":"

Auf dieser Seite\u00a0werden die Definitionen zum Begriff Robustheit (eng. robustness) und\u00a0Robust Design, die in der Literatur zu finden sind, aufgelistet, vergleiche Tabelle 1.1.1. Da die vorhandene\u00a0Anzahl an Definitionen den Umfang der Arbeit \u00fcbersteigt, wird lediglich jede direkte\u00a0Beschreibung des Begriffs \u201eRobustheit\u201c bzw. des dazugeh\u00f6rigen Adjektivs \u201erobust\u201c als\u00a0Definition behandelt. Au\u00dferdem gilt eine Beschreibung von Robust Design bzw.… Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":28,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"om_disable_all_campaigns":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"footnotes":""},"aioseo_notices":[],"yoast_head":"\nRobust Design Definitonen - Robust Reliability<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.robust-reliability.com\/en\/robust-design\/robust-designb\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Robust Design Definitonen - Robust Reliability\" \/>\n<meta property=\"og:description\" content=\"Auf dieser Seite\u00a0werden die Definitionen zum Begriff Robustheit (eng. robustness) und\u00a0Robust Design, die in der Literatur zu finden sind, aufgelistet, vergleiche Tabelle 1.1.1. 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