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Appl. Sci. 2018, 8(4), 493; https://doi.org/10.3390/app8040493

A Bayesian Network Based Adaptability Design of Product Structures for Function Evolution

1,2
,
1,2,* , 1
,
1,3
and
2,3,*
1
Key Laboratory of Advanced Manufacturing Technology (Guizhou University), Ministry of Education, Guiyang 550025, China
2
School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
3
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
*
Authors to whom correspondence should be addressed.
Received: 5 February 2018 / Revised: 19 March 2018 / Accepted: 22 March 2018 / Published: 26 March 2018
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Abstract

Structure adaptability design is critical for function evolution in product families, in which many structural and functional design factors are intertwined together with manufacturing cost, customer satisfaction, and final market sales. How to achieve a delicate balance among all of these factors to maximize the market performance of the product is too complicated to address based on traditional domain experts’ knowledge or some ad hoc heuristics. Here, we propose a quantitative product evolution design model that is based on Bayesian networks to model the dynamic relationship between customer needs and product structure design. In our model, all of the structural or functional features along with customer satisfaction, manufacturing cost, sale price, market sales, and indirect factors are modeled as random variables denoted as nodes in the Bayesian networks. The structure of the Bayesian model is then determined based on the historical data, which captures the dynamic sophisticated relationship of customer demands of a product, structural design, and market performance. Application of our approach to an electric toothbrush product family evolution design problem shows that our model allows for designers to interrogate with the model and obtain theoretical and decision support for dynamic product feature design process. View Full-Text
Keywords: product function evolution; data analysis; Bayesian network; adaptability design product function evolution; data analysis; Bayesian network; adaptability design
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Li, S.; Wu, Y.; Xu, Y.; Hu, J.; Hu, J. A Bayesian Network Based Adaptability Design of Product Structures for Function Evolution. Appl. Sci. 2018, 8, 493.

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