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Optimizing product manufacturability in 3D printing

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Abstract

3D printing has become a promising technique for industry production. This paper presents a research on the manufacturability optimization of discrete products under the influence of 3D printing technology. For this, we first model the problem using a tree structure, and then formulate it as a linear integer programming, where the total production time is to be minimized with the production cost constraint. To solve the problem, a differential evolution (DE) algorithm is developed, which automatically determines whether traditional manufacturing methods or 3D printing technology should be used for each part of the production. The algorithm is further quantitatively evaluated on a synthetic dataset, compared with the exhaustive search and alternating optimization solutions. Simulation results show that the proposed algorithm can well combine the traditional manufacturing methods and 3D printing technology in production, which is helpful to attain optimized product design and process planning concerning manufacture time. Therefore, it is beneficial to provide reference of the widely application and further industrialization of the 3D printing technology.

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Acknowledgements

This paper was supported by the National Natural Science Foundation of China (Grant No. 71372007). We also would like to extend our sincere gratitude to the reviewers for their instructive advices and useful suggestions on this paper. Special thanks should go to the friends who have put considerable time and effort into their comments on the draft.

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Authors and Affiliations

  1. School of Economics and Management, Beihang University, Beijing, 100191, China

    Yu Han & Guozhu Jia

Authors
  1. Yu Han
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  2. Guozhu Jia
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Corresponding author

Correspondence to Guozhu Jia.

Additional information

Yu Han is a PhD candidate of the School of Economics and Management, Beihang University, China. Her research domains focus mainly on operational process management. Her subject of the thesis is the influence of 3D printing on manufacturability of product design.

Guozhu Jia is a professor of the School of Economics and Management, Beihang University, China. His research domains focus mainly on the operational strategy for multi-variety and high-volume production, cellular manufacturing, and operational process management. Now he is interested in studying the influence of 3D printing on supply chain management and manufacturability of product design.

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Han, Y., Jia, G. Optimizing product manufacturability in 3D printing. Front. Comput. Sci. 11, 347–357 (2017). https://doi.org/10.1007/s11704-016-6154-6

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  • DOI: https://doi.org/10.1007/s11704-016-6154-6

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