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Cost modeling and analysis for Mask Image Projection Stereolithography additive manufacturing: Simultaneous production with mixed geometries

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  • Yang, Yiran
  • Li, Lin

Abstract

Additive manufacturing has obtained widespread and continuously increasing interest, owing to its distinguished advantages (e.g., reduced material waste and enhanced manufacturing complexity) compared to traditional manufacturing processes. Currently, the implementation of additive manufacturing in the industrial sector is limited to small-scale production with high customization level. In current literature, the cost analysis for complex production layouts especially with mixed geometries are not fully studied, and some popular additive manufacturing processes are not well investigated for cost performance. Therefore, in this paper, a comprehensive cost model is established to theoretically evaluate the cost performance of the Mask Image Projection Stereolithography process for simultaneously fabricating multiple mixed geometries. In addition, an optimization problem is formulated to reduce the additive manufacturing costs considering the set of decision variables (layer thickness and surface stratification angle) under the constraints of production throughput and part quality. The case study results indicate that 26% of cost savings can be achieved by solving the proposed optimization problem. Furthermore, a sensitivity analysis is conducted which shows that the raw material unit price and the initial investment on additive manufacturing hardware and software are the main cost drivers.

Suggested Citation

  • Yang, Yiran & Li, Lin, 2018. "Cost modeling and analysis for Mask Image Projection Stereolithography additive manufacturing: Simultaneous production with mixed geometries," International Journal of Production Economics, Elsevier, vol. 206(C), pages 146-158.
    • Handle: RePEc:eee:proeco:v:206:y:2018:i:c:p:146-158
    DOI: 10.1016/j.ijpe.2018.09.023
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    References listed on IDEAS

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    1. Yiran Yang & Lin Li & Yayue Pan & Zeyi Sun, 2017. "Energy Consumption Modeling of Stereolithography-Based Additive Manufacturing Toward Environmental Sustainability," Journal of Industrial Ecology, Yale University, vol. 21(S1), pages 168-178, November.
    2. 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.
    3. Schniederjans, Dara G., 2017. "Adoption of 3D-printing technologies in manufacturing: A survey analysis," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 287-298.
    4. Hartl, Richard F. & Kort, Peter M., 2017. "Possible market entry of a firm with an additive manufacturing technology," International Journal of Production Economics, Elsevier, vol. 194(C), pages 190-199.
    5. Mellor, Stephen & Hao, Liang & Zhang, David, 2014. "Additive manufacturing: A framework for implementation," International Journal of Production Economics, Elsevier, vol. 149(C), pages 194-201.
    6. Baumers, Martin & Dickens, Phill & Tuck, Chris & Hague, Richard, 2016. "The cost of additive manufacturing: machine productivity, economies of scale and technology-push," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 193-201.
    7. Weller, Christian & Kleer, Robin & Piller, Frank T., 2015. "Economic implications of 3D printing: Market structure models in light of additive manufacturing revisited," International Journal of Production Economics, Elsevier, vol. 164(C), pages 43-56.
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    Cited by:

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    4. Lei Di & Yiran Yang, 2020. "Cost Modeling and Evaluation of Direct Metal Laser Sintering with Integrated Dynamic Process Planning," Sustainability, MDPI, vol. 13(1), pages 1-17, December.

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