Baris Ördek

Latest publications

• An auto hierarchical clustering algorithm to distinguish geometries suitable for additive and traditional manufacturing technologies: Comparing humans and unsupervised learning

  Ördek, B., Coatanea, E. & Borgianni, Y., Mar 2025, In: Results in Engineering. 25, 104418.

  Research output: Contribution to journal › Article › Scientific › peer-review

• Environmental Hotspots for Sustainability in Additive Manufacturing: Insights from Expert Interviews

  Ördek, B., Borgianni , Y. & Spreafico, C., 30 Oct 2025, Manufacturing 2030 - A Perspective to Future Challenges in Industrial Production. Matt, D. T., Rauch, E., Dallasega, P., Gualtieri, L. & Marchi, M. D. (eds.). Springer, p. 3-15 (Lecture Notes in Networks and Systems; no. 1604).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• Experts’ and novices’ views on the use of additive manufacturing for the fabrication of parts based on their geometry

  Ördek, B. & Borgianni , Y., 4 Sept 2025, In: International Journal on Interactive Design and Manufacturing. 19

  Research output: Contribution to journal › Article › Scientific › peer-review

• Investigation of failures in rotational moulding using historical production dataset and machine learning

  Ördek, B., McGree, J., Corry, P. & Spreafico, C., 12 Nov 2025, (E-pub ahead of print) In: International Journal of Advanced Manufacturing Technology.

  Research output: Contribution to journal › Article › Scientific › peer-review

• Parametric LCA model for Ti6Al4V powder production

  Spreafico, C. & Ördek, B., Jul 2025, In: Cleaner Engineering and Technology. 27, 101032.

  Research output: Contribution to journal › Article › Scientific › peer-review

• Reasons Behind Selecting a Manufacturing Process: A Semi-structured Interview Study

  Ördek, B. & Borgianni, Y., 2025, Design Tools and Methods in Industrial Engineering IV - Proceedings of the 4th International Conference on Design Tools and Methods in Industrial Engineering, ADM 2024. Di Stefano, P., Gherardini, F., Nigrelli, V., Rizzi, C., Sequenzia, G. & Tumino, D. (eds.). Springer, p. 12-19 8 p. (Lecture Notes in Mechanical Engineering).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• HICA: A MATLAB-based hierarchical image clustering algorithm for classifying parts suitable for additive and traditional manufacturing technologies

  Ördek, B. & Borgianni, Y., 28 Jul 2024, In: SoftwareX. 27, 101837.

  Research output: Contribution to journal › Article › Scientific › peer-review

• Machine learning-supported manufacturing: a review and directions for future research

  Ördek, B., Borgianni, Y. & Coatanea, E., 2024, In: Production & Manufacturing Research. 12, 1, 2326526.

  Research output: Contribution to journal › Article › Scientific › peer-review

• Application of Unsupervised Learning and Image Processing into Classification of Designs to Be Fabricated with Additive or Traditional Manufacturing

  Ördek, B. & Borgianni, Y., 2023, In: Proceedings of the Design Society. 3, p. 613-622 10 p.

  Research output: Contribution to journal › Conference article › Scientific › peer-review

• Differentiating Additive and Traditional Manufacturing Processes Through Unsupervised Learning and Image Processing

  Ördek, B. & Borgianni, Y., 2023, Towards a Smart, Resilient and Sustainable Industry - Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023. Borgianni, Y., Matt, D. T., Molinaro, M. & Orzes, G. (eds.). Springer, p. 552-563 12 p. (Lecture Notes in Networks and Systems; vol. 745 LNNS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review