F. Deubzer and U. Lindemann Institute of Product Development, Technische Universität München

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10 TH INTERNATIONAL DESIGN STRUCTURE MATRIX CONFERENCE, DSM 08 11 12 NOVEMBER 2008, STOCKHOLM, SWEDEN FUNCTIONAL MODELLING FOR DESIGN SYNTHESIS USING MDM METHODOLOGY F. Deubzer and U. Lindemann Institute of Product Development, Technische Universität München Keywords: functional modelling, design synthesis, solution finding, creativity 1 INTRODUCTION In the early stages of design processes, functional modelling is by many authors recommended as the basis for the creative finding of solutions before defining physical [e.g. 10, 4, 8]. For that reason, numerous functional models have been defined, providing the support for creative solution finding and definition of products on basis of functional semantics and descriptions before concepts or physical representations of the products exist [e.g. 4, 8]. Furthermore, an important part of the successful synthesis is the evaluation and validation of defined conceptual solutions, based on barely available detailed information about the product [10, 8]. The Design Structure Matrix (DSM) and related methods have proven to be powerful measures when analysing existing systems [2], nevertheless were only slightly able to contribute to new not yet existing solutions. Latest approaches, such as the Multiple-Domain Matrix (MDM) [9] allow for the integration of different domains, and thus enable the depiction of functional models and their relations as well as their connectivity to different solution principles, desired of a product and finally. This paper shows the combination of the MDM approach and different functional models with the purpose to support the design synthesis process. 2 MOTIVATION The powerful methodology behind the application of DSM and MDM [2, 9] approaches allows the analysis of systems in various ways. Not only can different systems be accessed equally, but the possibilities for analysis are vast. The MDM approach furthermore allows for the integration of numerous different domains in one model as well as the deduction of indirect dependencies [9]. The analysis of systems by mentioned methods addresses the deficits of existing systems and thus can only support the synthesis process when improving existing solutions. The integration of functional models and other product views into one MDM enables the widening of the solution space, but is still based on the existing system s and their interdependencies. When looking at for example plant engineering businesses or other branches with numerous variants and predefined modules, the customer demand will be fulfilled by novel structures of. Current applications of DSM and MDM approaches can only marginally contribute to the solution process in such situations. In a conceptual state, those products will be incomprehensible by existing approaches as the physical domain does not yet exist, the functional domain on the other hand can be analysed and structured but only with insufficient conclusions. Given these circumstances, a number of authors expanded DSM and MDM methodology to suit the given challenges of design synthesis [3, 6]. Still, these approaches focus on the analysis of models for supporting the design synthesis. In the following chapters, a selection of these approaches and methodologies will be briefly discussed. In the last chapter, an approach is presented and discussed, more detached from analysis than existing approaches but still aiming to complement the gap of analysis in the design synthesis process, and thus contributing to a more integrated approach. 3 RELATED WORK SUPPORT OF DESIGN SYNTHESIS For a brief discussion of only a selection of different approaches for design synthesis, a differentiation was made into the groups matrix-based, function-based and rule-based approaches, being the most relevant categories for the presented research. The compilation is not claiming completeness in sense of classification or exemplarily discussed methods. 403

3.1 Matrix-based approaches Being aware of the gap between the need for design synthesis and the analysis with matrix approaches, several authors reduce limitations by expanding the method. De Weck [3] for example introduces the -DSM to model and analyse the difference between the actual and the novel design state on level. This approach depends upon a basic product, specified changes to the product and a physical representation of the novel product, at least in a conceptual state based on change propagation. Gorbea [6] adds the functional perspective to the problem and sums different existing solutions up in a Σ-DSM similar to the introduced variant management approach by [1]. Given both functional and structural perspective, a widening of the solution space is achieved within the range of existing solutions by combination of systems. Yet, the introduction of novel solutions or the identification of improvement by the introduction of new technologies is hindered by the close relation to existing solutions. Both approaches representing only a small section of available matrix-based methods for design synthesis offer great potential and enhance the capability of the DSM approach during the early phases of product development. 3.2 Approaches based on functional models On the other hand, methods exist outside the field of DSM and MDM methodology, contributing to a large extent to the support of design synthesis, mostly based on functional approaches and independent of algorithmic procedures or intensive tool-support. Well-known in engineering design research is for example the flow-oriented functional model by Ehrlenspiel [4], allowing for the analysis of systems by consideration of information-, material- and energy-flows from a functional perspective. Being formulated as neutral to technical solutions as possible, the functional model allows for a support of design synthesis based on the differentiation of a product s functions. Further functional modelling methods exist, most of them aiming at the support of creativity, for example the relation-oriented models known of the TIPS methodology or elementary hierarchical models (see [5, 8] for more comprehensive overviews). 3.3 Rule-based methods As a third perspective on design synthesis, rule-based or grammar-based approaches such as expert systems, FBS systems or design grammars can be mentioned (see [12] for example). Those methods have in common the functional perspective as a starting point and require rules for the coupling of functions as well as the coupling with fulfilling the formalized functions. With regard to FBS systems, a behavioural level is added between functions and, applying another abstract level above level, similar to the working principles of Pahl & Beitz [10]. Benefit of the mentioned approaches is the automation of the synthesis process and the definition of possible solutions, nevertheless always based on the information available in the beginning and the defined rules. Being the most automated and algorithm-supported methods, rule-based methods require a lot of information in the beginning of the process, with the results reflecting the information input. An increase of information content can be expected anyway by the fulfilling of the required formal norms when dealing with the method. Nevertheless, a similar effect can be expected from the formerly mentioned approaches as well. 4 FUNCTIONAL MODELLING FOR DESIGN SYNTHESIS USING MDM METHODOLOGY This chapter will sum up briefly the remaining challenges, present the developed approach, results of application and is followed by an outlook on accompanying and further research in the last chapter. 4.1 Challenges One of the main remaining challenges is the gap between design synthesis and analysis. As the overview has shown, numerous methods exist, supporting either the synthesis by methods, models, and automated procedures, or are supporting the analysis by structural considerations of and functions. A formalized exchange between analysis and synthesis methods to enable for example the reducing of solutions during synthesis does not yet exist in a generic form. As a second downside, existing methods are not systematically able to support the definition of novel solutions but are based on existing products of at least the same family. Finally, a sufficient level of abstraction is required 404

when applying a new approach successfully, allowing for the definition of novel solutions but as well the enhancement of existing products. 4.2 Approach The presented approach utilises existing methods for functional modelling, such as the flow-oriented model by Ehrlenspiel [4] and transfers the resulting functional models into matrix notation. Based on this transformation into a Multiple Domain Matrix, the dependency between and can be extracted and analysis of structures can be conduced. The widening of the solution space can be accomplished by adding more possible functional principles to the matrix, enriching the possibilities to achieve desired. Source for these can be compendiums of working principles such as [7, 11]. Components can be added if available and/or defined and interrelated with the functions as well as parameters (e.g. degree of efficiency). In addition, undesired and harmful functions can give further insight and focus for analysis and solution finding. 4.3 Results The application of the method has shown that novel solutions can be supported by the abstract description of a system s functions, allowing for the identification of design alternatives and the comparison thereof. Depending on the parameters integrated into the model, possible concepts can be evaluated. Within the range of existing design variants, a suitable solution can be chosen depending onto the situation, while the solution space can be widened in case of urgent demand. 5 CONCLUSION AND OUTLOOK The presented method shows promising results and has been applied in a rather small system with little generic scope. The extension of the method by harmful functions, system components and further automated synthesis support will show how a generic approach can be defined, and how applicable results be achieved from the analysis and synthesis. Further examples will include the plant engineering branch, rail break controls and other automotive systems. REFERENCES [1] Braun, T., Deubzer, F.: New Variant Management Using Multiple-Domain Mapping. In: Proceedings of the 9 th International DSM-Conference, Munich, 2007. [2] Browning, T.: Applying the Design Structure Matrix to System Decomposition and Integration Problems. IEEE Transactions on Engineering Management 48 (2001) 3, pp 292-306. [3] De Weck, O.: On the Role of DSM in Designing Systems and Products for Changeability. In: Proceedings of the 9 th International DSM-Conference, Munich, 2007. [4] Ehrlenspiel, K.: Integrierte Produktentwicklung. München: Carl-Hanser, 2003. [5] Fuchs, D.: Prinzipien für die Problemanalyse in der Produktentwicklung. München,, 2006. [6] Gorbea, C., Spielmannleitner, T., Lindemann, U., Fricke, E.: Analysis of Hybrid Vehicle Architectures using Multiple Domain Matrices. 10th International DSM Conference, 2008. [7] Lauer, W., Felgen, L., Ponn, J., Hübner, W., Lindemann, U.: Support of the Development Process by a new Approach using Multiple Views on Physical Effects. Proceedings of the FISITA World Automotive Congress, Munich, 2008. [8] Lindemann, U.: Methodische Entwicklung technischer Produkte. Berlin: Springer, 2005. [9] Maurer, M.: Structural Awareness in Complex Product Design. München: Dr. Hut, 2007. [10] Pahl G., Beitz, W., Feldhusen J. and Grote K.-H.: Engineering Design A Systematic Approach. Berlin: Springer, 2006. [11] Ponn, J., Lindemann, U.: Konzeptentwicklung und Gestaltung technischer Produkte. Berlin: Springer, 2007. [12] Yasushi, U., Tetsuo, T.: FBS Modeling: Modeling Scheme of Function for Conceptual Design. In: Proceedings of the 9 th International Workshop on Qualitative Reasoning, 1995. Contact: Frank Deubzer Technische Universität München, Institute of Product Development Boltzmannstraße 15 85748 Garching, Germany Phone: +49 89 28915137 e-mail: frank.deubzer@pe.mw.tum.de 405

Functional Modelling for Design Synthesis Using MDM Methodology Frank Deubzer Udo Lindemann Motivation Situation powerful matrix-based analysis approaches exist, lacking synthesis support in sense of providing alternatives existing automated synthesis approaches lack analysis and universality classic synthesis approaches supply a framework for creativity Aim close the gap between analysis and synthesis combine powerful approaches Hypothesis matrix-based approaches as a profound basis for design analysis functional views on abstract level allow for systematic solution finding design synthesis can be supported and prepared by matrix-based depiction of actual situation and solution space 10th International DSM Conference 2008-2 406

Design Synthesis Classical Approach problem requirements model function state A operation 1 state B function1 functional model function1.1 function1.2 function1.3 useful functiona required for useful functionb causes working model harmful function1 functions functions DSM DMM DMM DSM physical model product According to Ponn & Lindemann: Konzeptentwicklung und Gestaltung technischer Produkte. Berlin: Springer, 2007 10th International DSM Conference 2008-3 Functional Modelling Examples function function1 state A operation 1 state B function1.1 function1.2 function1.3 Flow-oriented [Ehrlenspiel 2007] Hierarchical [Lindemann 2005] functions useful functiona required for useful functionb functions DSM DMM causes harmful function1 DMM DSM Relation-oriented [Lindemann 2005] Structural [Maurer 2007] 10th International DSM Conference 2008-4 407

Support of Synthesis with MDM Principle 1. Deduct dependencies between and 2. Calculate dependencies between 3. Calculate dependencies between function state A operation 1 1 1 state B 2 2 3 3 10th International DSM Conference 2008-5 Support of Synthesis with MDM Principle 4. Widening of solution space by adding working principles 5. Analysis of desired state transformations (alternative paths) 6. Identification of alternative solutions () 4 state A function working principle 1* state B 5 6 *Sources for Working Principles e.g.: Ponn & Lindemann: Konzeptentwicklung und Gestaltung technischer Produkte. Berlin: Springer, 2007. Lauer et al.: Support of the Development Process by a new Approach using Multiple Views on Physical Effects. The FISITA World Automotive Congress, Munich, 2008. 10th International DSM Conference 2008-6 408

Support of Synthesis with MDM Exemplary Application Example: Parallel Hybrid Powertrain (Creation of MDM) Flow-oriented model of a parallel hybrid vehicle powertrain Remarks: DSM views calculated from DMM dependencies Focussing on one existing concept Other variants might be added* * see Gorbea, C., Spielmannleitner, T., Lindemann, U., Fricke, E.: Analysis of Hybrid Vehicle Architectures using Multiple Domain Matrices In: Proceedings of the 10 th International DSM Conference, Stockholm, 2008. Derived MDM containing and 10th International DSM Conference 2008-7 Support of Synthesis with MDM Solution Space (Graph depiction) Energy Forms () Working Principles () Following Lauer et al.: Support of the Development Process by a new Approach using Multiple Views on Physical Effects. The FISITA World Automotive Congress, Munich, 2008. 10th International DSM Conference 2008-8 409

Support of Synthesis with MDM Actual Solution and Alternatives Alternative Solutions Current Solution (Cutout) 10th International DSM Conference 2008-9 Support of Synthesis with MDM Extensions 7. Adding harmful or undesired functions ( - functions ) 8. Interrelate - functions with to identify design focus/conflicts 9. Components can be added if available and/or defined and 10. interrelated with the functions 11.Parameters of (e.g. degree of efficiency) and (e.g. weight, cost etc.) support the evaluation process - functions 10 7 - functions 8 causes 11 parameters 9 10th International DSM Conference 2008-10 410

Conclusions Results promising results by the possibility to work thoroughly and systematic through solution space possibility to integrate solutions of different levels of abstraction by matrix depiction and combination of, functions and identify unwanted side-effects and alternative solutions therefore reasonable decision making by transparency of available solutions Future Work comprehensive evaluation of different solutions not possible satisfactory accessibility for automated design synthesis would allow for handling of solution space and defining rule-sets evaluation of the methodology by realisable technical solutions as a result of application application of different analysis criteria in different domains and interpretation thereof 10th International DSM Conference 2008-11 411