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A computer-aided approach improving the Axiomatic Design theory with the distributed design resource environment

Published online by Cambridge University Press:  09 October 2019

Bin Chen Open the ORCID record for Bin Chen [Opens in a new window] ,
Jie Hu ,
Jin Qi  and
Weixing Chen
Bin Chen*
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Jie Hu
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Jin Qi
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
Weixing Chen
Affiliation:
State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, China
*
Authors for correspondence: Bin Chen, E-mail: chenbinsun@outlook.com, cb5183298@sjtu.edu.cn; Jie Hu, E-mail: hujie@sjtu.edu.cn
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Abstract

In the traditional Axiomatic Design (AD) theory, the mapping from the functional domain to the physical domain is based on the designers’ own knowledge and experience, and there is no systematical approach including the design resources provided outside the designers themselves’ access. Thus, the raw materials for the design process are largely limited, which means they can hardly support the designers’ increasingly creative and innovative conceptions. To help AD theory better support the design process, this paper proposes a computer-aided approach for the mapping from the functional domain to the physical domain within a distributed design resource environment, which consists of numerous design resources offered on the Internet by the providers widely distributed in different locations, institutes, and disciplines. To prove the feasibility of this proposed approach, a software prototype is established, and a natural leisure hotel is designed as an implementation case.

Keywords

Axiomatic Designdesign resourcedistributed environmentfunctional domainphysical domain
Type
Research Article
Information
AI EDAM , Volume 34 , Issue 1: Thematic Collection on “Cognitive and Learning processes for transition to Design for Sustainability (DfS)” , February 2020 , pp. 80 - 103
Copyright
Copyright © Cambridge University Press 2019

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References

Camelo, DM and Mulet, E (2010) A multi-relational and interactive model for supporting the design process in the conceptual phase. Automation in Construction 19, 964–974.CrossRefGoogle Scholar
Chakrabarti, A and Bligh, TP (2001) A scheme for functional reasoning in conceptual design. Design Studies 22, 493–517.CrossRefGoogle Scholar
Chen, B and Xie, Y (2017 a) Functional knowledge integration of the design process. Science China Technological Sciences 60, 209–218.CrossRefGoogle Scholar
Chen, B and Xie, YB (2017 b) A computer-assisted automatic conceptual design system for the distributed multi-disciplinary resource environment. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, 1094–1112Google Scholar
Chen, X, Li, Z, Fan, ZP, Zhou, X and Zhang, X (2016) Matching demanders and suppliers in knowledge service: a method based on fuzzy axiomatic design. Information Sciences 346, 130–145CrossRefGoogle Scholar
Chen, W, Goh, M and Zou, Y (2018) Logistics provider selection for omni-channel environment with fuzzy axiomatic design and extended regret theory. Applied Soft Computing 71, 353–363.CrossRefGoogle Scholar
Cheng, J, Feng, Y, Lin, Z, Liu, Z and Tan, J (2017) Anti-vibration optimization of the key components in a turbo-generator based on heterogeneous axiomatic design. Journal of Cleaner Production 141, 1467–1477.CrossRefGoogle Scholar
Cochran, DS, Arinez, JF, Duda, JW and Linck, J (2001) A decomposition approach for manufacturing system design. Journal of Manufacturing Systems 20, 371–389.CrossRefGoogle Scholar
Cochran, DS, Hendricks, S, Barnes, J and Bi, Z (2016) Extension of manufacturing system design decomposition to implement manufacturing systems that are sustainable. Journal of Manufacturing Science and Engineering 138, 101006.CrossRefGoogle Scholar
Cochran, DS, Foley, JT and Bi, Z (2017) Use of the manufacturing system design decomposition for comparative analysis and effective design of production systems. International Journal of Production Research 55, 870–890.CrossRefGoogle Scholar
Deo, HV and Suh, NP (2004) Mathematical transforms in design: case study on feedback control of a customizable automotive suspension. CIRP Annals-Manufacturing Technology 53, 125–128CrossRefGoogle Scholar
Drakaki, M, Gören, HG and Tzionas, P (2018) An intelligent multi-agent system using fuzzy analytic hierarchy process and Axiomatic Design as a decision support method for refugee settlement siting. In Dargam, F, Delias, P, Linden, I and Mareschal, B (eds), Decision Support Systems VIII Sustainable Data-Driven and Evidence-Based Decision Support. ICDSST 2018, Vol.313. Cham: Springer, pp. 15–25, Lecture Notes in Business Information Processing.CrossRefGoogle Scholar
Gualtieri, L, Rauch, E, Rojas, R, Vidoni, R and Matt, DT (2018) Application of Axiomatic Design for the design of a safe collaborative human-robot assembly workplace. MATEC Web of Conferences 223, 01003.CrossRefGoogle Scholar
He, B, Niu, Y, Hou, S and Li, F (2018) Sustainable design from functional domain to physical domain. Journal of Cleaner Production 197, 1296–1306.CrossRefGoogle Scholar
Helms, B and Shea, K (2012) Computational synthesis of product architectures based on object-oriented graph grammars. Journal of Mechanical Design 134, 021008.CrossRefGoogle Scholar
Hirtz, J, Stone, RB, Mcadams, DA, Szykman, S and Wood, KL (2002) A functional basis for engineering design: reconciling and evolving previous efforts. Research in Engineering Design 13, 65–82.CrossRefGoogle Scholar
Joskowicz, L and Neville, D (1996) A representation language for mechanical behavior. Artificial Intelligence in Engineering 10, 109–116.CrossRefGoogle Scholar
Li, W, Song, Z, Mao, E and Suh, S (2019) Using Extenics to describe coupled solutions in Axiomatic Design. Journal of Engineering Design 30, 1–31CrossRefGoogle Scholar
Muenzer, C and Shea, K (2015) A simulation-based CDS approach: automated generation of simulation models based from generated concept model graphs. Proc. ASME 2015 Int. Design Engineering Technical Conf., Computers and Information in Engineering Conf. New York: ASME, p. V007T06A016.CrossRefGoogle Scholar
Münzer, C, Helms, B and Shea, K (2013) Automatically transforming object-oriented graph-based representations into Boolean satisfiability problems for computational design synthesis. Journal of Mechanical Design 135, 101001.CrossRefGoogle Scholar
Nagel, RL, Perry, KL, Stone, RB and McAdams, DA (2009) FunctionCAD: a functional modeling application based on the function design framework. Proc. ASME 2009 Int. Design Engineering Technical Conf. /Computers and Information in Engineering Conf. New York: ASME, pp. 591–600.CrossRefGoogle Scholar
Palleti, VR, Joseph, JV and Silva, A (2018) A contribution of axiomatic design principles to the analysis and impact of attacks on critical infrastructures. International Journal of Critical Infrastructure Protection 23, 21–32.CrossRefGoogle Scholar
Rauch, E, Matt, DT and Dallasega, P (2016) Application of axiomatic design in manufacturing system design: a literature review. Procedia CIRP 53, 1–7CrossRefGoogle Scholar
Rauch, E, Vickery, A, Garcia, M, Rojas, R and Matt, DT (2018) Axiomatic Design based design of a software prototype for smart shopfloor management. MATEC Web of Conferences 223, 01012.CrossRefGoogle Scholar
Rauch, E, Morandell, F and Matt, DT (2019 a) AD design guidelines for implementing I4. 0 learning factories. Procedia Manufacturing 31, 239–244.CrossRefGoogle Scholar
Rauch, E, Spena, PR and Matt, DT (2019 b) Axiomatic design guidelines for the design of flexible and agile manufacturing and assembly systems for SMEs. International Journal on Interactive Design and Manufacturing 13, 1–22.CrossRefGoogle Scholar
Stone, RB and Wood, KL (2000) Development of a functional basis for design. Journal of Mechanical Design 122, 359–370.CrossRefGoogle Scholar
Stone, RB, Wood, KL and Crawford, RH (2000) A heuristic method for identifying modules for product architectures. Design Studies 21, 5–31.CrossRefGoogle Scholar
Suh, NP (1995) Designing-in of quality through axiomatic design. IEEE Transactions on Reliability 44, 256–264.CrossRefGoogle Scholar
Suh, NP (2001) Axiomatic Design: Advances and Applications. New York: Oxford University Press.Google Scholar
Suh, NP and Do, SH (2000) Axiomatic design of software systems. CIRP Annals-Manufacturing Technology 49, 95–100.CrossRefGoogle Scholar
Suh, NP, Cochran, DS and Lima, PC (1998) Manufacturing system design. CIRP Annals-Manufacturing Technology 47, 627–639.CrossRefGoogle Scholar
Thielman, J and Ge, P (2006) Applying axiomatic design theory to the evaluation and optimization of large-scale engineering systems. Journal of Engineering Design 17, 1–16.CrossRefGoogle Scholar
Vermaas, PE and Dorst, K (2007) On the conceptual framework of John Gero's FBS-model and the prescriptive aims of design methodology. Design Studies 28, 133–157.CrossRefGoogle Scholar
Welch, RV and Dixon, JR (1994) Guiding conceptual design through behavioral reasoning. Research in Engineering Design 6, 169–188.CrossRefGoogle Scholar
Xiao, R and Cheng, X (2006) Study on unifying axiomatic design and robust design. Proceedings of the 7th International Conference on Frontiers of Design and Manufacturing (ICFDM 2006). Guangzhou, China, June 19–22, 2006, pp. 189–194.Google Scholar
Yuan, L, Liu, Y, Sun, Z, Cao, Y and Qamar, A (2016) A hybrid approach for the automation of functional decomposition in conceptual design. Journal of Engineering Design 27, 333–360.CrossRefGoogle Scholar