IDEAS home Printed from https://ideas.repec.org/a/spr/joinma/v34y2023i5d10.1007_s10845-022-01945-w.html
   My bibliography  Save this article

Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making

Author

Listed:
  • Yizhe Yang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Bingshan Liu

    (Chinese Academy of Sciences)

  • Haochen Li

    (Chinese Academy of Sciences)

  • Xin Li

    (Chinese Academy of Sciences)

  • Xiaodong Liu

    (Chinese Academy of Sciences)

  • Gong Wang

    (Chinese Academy of Sciences)

Abstract

The selection of the building orientations is the key to the pretreatment stage of models for additive manufacturing (AM) technology, which plays a significant role in product accuracy, material consumption, printing layout, etc., affecting the economy and time efficiency of printing. In this paper, an automatic selection system of the building orientation based on the double-layer priority aggregation multi-attribute decision-making (DLPA-MADM) method is proposed to select the optimal building orientation (OBO). The priority compensation restricted average (PCRA) aggregation operator is designed to handle the priority relationships among attributes. The alternative building orientations (ABOs) are constructed according to the reference orientations of the surface features via the STEP AP242 file. The models of the surface precision with feature (P&F), printing time (PT), layout area (LA), and support volume (SV) attributes who participate in decision-making are established. According to the tolerances given from the STEP file, the sub-precision values of ABOs for surface features with distinct priorities are aggregated in the first layer to obtain the precision value. Four attributes are aggregated in the second layer with priority to acquire the comprehensive evaluation value (CEV), through the ranking of which, the OBO can be found. The effectiveness and rapidity of the developed system are proved by experiments on the model.

Suggested Citation

  • Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Xiaodong Liu & Gong Wang, 2023. "Automatic selection system of the building orientation based on double-layer priority aggregation multi-attribute decision-making," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2477-2493, June.
  • Handle: RePEc:spr:joinma:v:34:y:2023:i:5:d:10.1007_s10845-022-01945-w
    DOI: 10.1007/s10845-022-01945-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10845-022-01945-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10845-022-01945-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yicha Zhang & Alain Bernard & Ramy Harik & K. P. Karunakaran, 2017. "Build orientation optimization for multi-part production in additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 28(6), pages 1393-1407, August.
    2. Berman, Barry, 2012. "3-D printing: The new industrial revolution," Business Horizons, Elsevier, vol. 55(2), pages 155-162.
    3. Luiz J.P. Araújo & Ender Özcan & Jason A.D. Atkin & Martin Baumers, 2019. "Analysis of irregular three-dimensional packing problems in additive manufacturing: a new taxonomy and dataset," International Journal of Production Research, Taylor & Francis Journals, vol. 57(18), pages 5920-5934, September.
    4. Yuchu Qin & Qunfen Qi & Paul J. Scott & Xiangqian Jiang, 2019. "Determination of optimal build orientation for additive manufacturing using Muirhead mean and prioritised average operators," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 3015-3034, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jose M. Framinan & Paz Perez-Gonzalez & Victor Fernandez-Viagas, 2023. "An overview on the use of operations research in additive manufacturing," Annals of Operations Research, Springer, vol. 322(1), pages 5-40, March.
    2. Yizhe Yang & Bingshan Liu & Haochen Li & Xin Li & Gong Wang & Shan Li, 2023. "A nesting optimization method based on digital contour similarity matching for additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2825-2847, August.
    3. Mouhamadou Mansour Mbow & Christelle Grandvallet & Frederic Vignat & Philippe Rene Marin & Nicolas Perry & Franck Pourroy, 2022. "Mathematization of experts knowledge: example of part orientation in additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1209-1227, June.
    4. Ayman Altuwaim & Abdulelah AlTasan & Abdulmohsen Almohsen, 2023. "Success Criteria for Applying Construction Technologies in Residential Projects," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    5. Sher, Mikhail M. & Kim, Seung-Lae & Banerjee, Avijit & Paz, Michael T., 2018. "A supply chain coordination mechanism for common items subject to failure in the electronics, defense, and medical industries," International Journal of Production Economics, Elsevier, vol. 203(C), pages 164-173.
    6. Francesco Cappa & Fausto Del Sette & Darren Hayes & Federica Rosso, 2016. "How to Deliver Open Sustainable Innovation: An Integrated Approach for a Sustainable Marketable Product," Sustainability, MDPI, vol. 8(12), pages 1-14, December.
    7. Florinda Matos & Radu Godina & Celeste Jacinto & Helena Carvalho & Inês Ribeiro & Paulo Peças, 2019. "Additive Manufacturing: Exploring the Social Changes and Impacts," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    8. Freund, Caroline & Mulabdic, Alen & Ruta, Michele, 2022. "Is 3D printing a threat to global trade? The trade effects you didn't hear about," Journal of International Economics, Elsevier, vol. 138(C).
    9. Martin Baumers & Luca Beltrametti & Angelo Gasparre & Richard Hague, 2017. "Informing additive manufacturing technology adoption: total cost and the impact of capacity utilisation," International Journal of Production Research, Taylor & Francis Journals, vol. 55(23), pages 6957-6970, December.
    10. Marić, Josip & Opazo-Basáez, Marco & Vlačić, Božidar & Dabić, Marina, 2023. "Innovation management of three-dimensional printing (3DP) technology: Disclosing insights from existing literature and determining future research streams," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
    11. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    12. Jafari, Davoud & Wits, Wessel W., 2018. "The utilization of selective laser melting technology on heat transfer devices for thermal energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 420-442.
    13. Nazanin Hosseini Arian & Alireza Pooya & Fariborz Rahimnia & Ali Sibevei, 2021. "Assessment the effect of rapid prototyping implementation on supply chain sustainability: a system dynamics approach," Operations Management Research, Springer, vol. 14(3), pages 467-493, December.
    14. George Cornel Dumitrescu & Ion Alexandru Tanase, 2016. "3D Printing – A New Industrial Revolution," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 8(1), pages 32-39, March.
    15. Konstantinos S. Boulas & Georgios D. Dounias & Chrissoleon T. Papadopoulos, 2023. "A hybrid evolutionary algorithm approach for estimating the throughput of short reliable approximately balanced production lines," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 823-852, February.
    16. Gedas Baranauskas & Agota Giedrė Raišienė & Renata Korsakienė, 2020. "Mapping the Scientific Research on Mass Customization Domain: A Critical Review and Bibliometric Analysis," JRFM, MDPI, vol. 13(9), pages 1-20, September.
    17. Caviggioli, Federico & Ughetto, Elisa, 2019. "A bibliometric analysis of the research dealing with the impact of additive manufacturing on industry, business and society," International Journal of Production Economics, Elsevier, vol. 208(C), pages 254-268.
    18. Andrea Szalavetz, 2017. "The Environmental Impact of Advanced Manufacturing Technologies: Examples from Hungary," Central European Business Review, Prague University of Economics and Business, vol. 2017(2), pages 18-29.
    19. Zeqi Hu & Xunpeng Qin & Yifeng Li & Jiuxin Yuan & Qiang Wu, 2020. "Multi-bead overlapping model with varying cross-section profile for robotic GMAW-based additive manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 31(5), pages 1133-1147, June.
    20. Jaya Priyadarshini & Rajesh Kr Singh & Ruchi Mishra & Surajit Bag, 2022. "Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach," Operations Management Research, Springer, vol. 15(1), pages 567-588, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joinma:v:34:y:2023:i:5:d:10.1007_s10845-022-01945-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.