An extended case-based reasoning method and corresponding product design process

Abstract

During product design process, conventional case-based reasoning (CBR) has shown significant applications in coping with new problems by recalling and reusing solutions in old context. However, conventional CBR still lacks effective methods to assist designers in generating creative design solutions of identified problems during modification stage. To make up for this deficiency, an extended CBR (ECBR) method characterized by two retrieval stages is proposed in this paper. The former retrieval stage is aimed to retrieve the most similar source case for design reusing, and the latter one is designed to assist designers in searching for relevant function units to generate creative design ideas for final design solution. A five-tuple knowledge model of product case is presented. It includes both specific design information for design reusing and abstract function units for generating creative design ideas. To effectively organize these case information, a hierarchy knowledge model of case base is established. It consists of case type layer, product case layer, and function unit layer. A corresponding retrieval strategy is presented to deal with different retrieval goals. To improve the performance of ECBR method in modification stage, the substance-attribute-function-cause analysis model and TRIZ tools are integrated together to aid problem analysis and problem-solving of retrieved product case. Finally, a new product conceptual design process is proposed based on ECBR method and the conceptual design of a smokeless barbecue equipment is employed as an example to verify the feasibility and effectiveness of ECBR method.

Keywords

Extended case-based reasoning case retrieval knowledge model design process design innovation

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References

Wood

Jensen

Bezdek

, et al. Reverse engineering and redesign: courses to incrementally and systematically teach design. Int J Eng Educ 2001; 3: 363–374.

Parsons G. The philosophy of design. Cambridge: Polity Press, 2016, pp.18–19.

Kolodner

. Improving human decision making through case-based decision aiding. Ai Mag 1991; 2: 52–68.

Guo

Peng

. A CBR system for injection mould design based on ontology: a case study. Comput Aided Design 2012; 6: 496–508.

Watson

. Case-based reasoning is a methodology not a technology. Knowl-based Syst 1999; 12: 303–308.

Ulrich KT and Eppinger SD. Product design and development. 5th ed. New York: McGraw-Hill, 2012, pp.117–120.

Chen

, et al. Product functional information based automatic patent classification: method and experimental studies. Inform Syst 2017; 67: 71–82.

Goel

. Design, analogy and creativity. IEEE Expert 1997; 3: 62–70.

Ozkan

Dogan

. Cognitive strategies of analogical reasoning in design: differences between expert and novice designers. Design Stud 2013; 2: 161–192.

10.

Kalogerakis

Lüthje

Herstatt

. Developing innovations based on analogies: experience from design and engineering consultants. J Prod Innovat Manag 2010; 3: 418–436.

11.

Vincent

Bogatyreva

Bogatyrev

, et al. Biomimetics: its practice and theory. J R Soc Interface 2006; 9: 471–482.

12.

Stéphane

LJM

. Case-based reasoning for chemical engineering design. Chem Eng Res Des 2008; 6: 648–658.

13.

Eilouti

. Design knowledge recycling using precedent-based analysis and synthesis models. Design Stud 2009; 4: 340–368.

14.

Kuo

. Combination of case-based reasoning and analytical hierarchy process for providing intelligent decision support for product recycling strategies. Expert Syst Appl 2010; 8: 5558–5563.

15.

Peng

Chen

, et al. Applying RBR and CBR to develop a VR based integrated system for machining fixture design. Expert Syst Appl 2011; 1: 26–38.

16.

Liu

. Case-based parametric design system for test turntable. Expert Syst Appl 2011; 6: 6508–6516.

17.

Armaghan

Renaud

. An application of multi-criteria decision aids models for case-based reasoning. Inform Sci 2012; 210: 55–66.

18.

Xie

. Product similarity assessment for conceptual one-of-a-kind product design: a weight distribution approach. Comput Ind 2013; 64: 720–731.

19.

Bejarano

JCR

Coudert

Vareilles

, et al. Case-based reasoning and system design: an integrated approach based on ontology and preference modeling. AI EDAM 2014; 1: 49–69.

20.

Peng

. Hybrid weighted mean for CBR adaptation in mechanical design by exploring effective, correlative and adaptative values. Comput Ind 2015; 75: 58–66.

21.

Wen

Guo

Shao

. Case retrieve methodology based on domain ontology and case-based reasoning. Computer Integrated Manufacturing Systems 2017; 7: 1377–1385. in Chinese).

22.

Saridakis

Dentsoras

. Case-DeSC: a system for case-based design with soft computing techniques. Expert Syst Appl 2007; 32: 641–657.

23.

Peng

. New CBR adaptation method combining with problem-solution relational analysis for mechanical design. Comput Ind 2015; 66: 41–51.

24.

Robles

Negny

Lann

JML

. Case-based reasoning and TRIZ: a coupling for innovative conception in chemical engineering. Chem Eng Process: Process Intensification 2009; 1: 239–249.

25.

Yang

Chen

. Accelerating preliminary eco-innovation design for products that integrates case-based reasoning and TRIZ method. J Clean Prod 2011; 9: 998–1006.

26.

Yang

Chen

. Forecasting the design of eco-products by integrating TRIZ evolution patterns with CBR and simple LCA methods. Expert Syst Appl 2012; 3: 2884–2892.

27.

Dorst

Cross

. Creativity in the design process: co-evolution of problem–solution. Design Stud 2001; 5: 425–437.

28.

Maher

Tang

. Co-evolution as a computational and cognitive model of design. Res Eng Des 2003; 1: 47–64.

29.

Zeng

. Environment-based design (EBD): a methodology for trans disciplinary design. Journal of Integrated Design and Process Science 2015; 1: 5–24.

30.

Guo

Peng

. Research on high creative application of case-based reasoning system on engineering design. Comput Ind 2013; 1: 90–103.

31.

Fan

Wang

, et al. Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion. Expert Syst Appl 2014; 5: 2526–2534.

32.

Zhu

, et al. An integrated feature selection and cluster analysis techniques for case-based reasoning. Eng Appl Artif Intel 2015; 39: 14–22.

33.

Feng

, et al. Constrained FBS knowledge cell model, representation, and applications for conceptual design. Proc IMechE Part C: J Mechanical Engineering Science 2016; 230: 1773–1786.

34.

Gero

Kannengiesser

. The situated function–behaviour–structure framework. Design Stud 2004; 4: 373–391.

35.

Farid AM. An engineering systems introduction to axiomatic design. In: Farid AM and Suh NP (eds) Axiomatic design in large systems. Switzerland: Springer International Publishing, 2016, pp.3–48.

36.

Chen

Zhao

Xie

, et al. A new model of conceptual design based on Scientific Ontology and intentionality theory. Part II: the process model. Design Stud 2015; 38: 139–160.

37.

Chen

Zhao

Xie

, et al. A new model of conceptual design based on Scientific Ontology and intentionality theory. Part I: the conceptual foundation. Design Stud 2015; 37: 12–36.

38.

Liao

Zhang

Mount

. Similarity measures for retrieval in case-based reasoning systems. Appl Artif Intell 1998; 4: 267–288.

39.

Peng

, et al. A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design. Expert Syst Appl 2009; 7: 10357–10366.

40.

Zarandi

MHF

Razaee

Karbasian

. A fuzzy case based reasoning approach to value engineering. Expert Syst Appl 2011; 8: 9334–9339.

41.

Hsu

. A fuzzy CBR technique for generating product ideas. Expert Syst Appl 2008; 1: 530–540.

42.

Zhao M, Zhang WC and Wang GS. TRIZ enhancement and practical applications. 1st ed. Beijing: China Machine Press, 2015, pp.276–285.

43.

Jiang

Fan

. A method for group decision making with multi-granularity linguistic assessment information. Inform Sci 2008; 4: 1098–1109.

44.

Cross

. The nature and nurture of design ability. Design Stud 2002; 3: 127–140.

45.

Karen Gadd. TRIZ for engineers: enabling inventive problem solving. Hoboken: John Wiley & Sons, Ltd, 2011.