Data-driven Decision Support in Custom Manufacturing Planning

Authors

  • Richárd Szabó
    Affiliation
    Department of Artificial Intelligence and Systems Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
  • László Gönczy
    Affiliation
    Department of Artificial Intelligence and Systems Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary
    Quanopt Ltd., Bocskai út 77–79., H-1113 Budapest, Hungary
  • Balázs Mikó
    Affiliation
    Bánki Donát Faculty of Mechanical and Safety Engineering, Óbuda University, József körút 6., H-1081 Budapest, Hungary
  • Dániel Nagy
    Affiliation
    Component Ltd., Bácsalmás utca 1–3., H-1119 Budapest, Hungary
https://doi.org/10.3311/PPme.38356

Abstract

In the design for manufacturing, the choice of the best processing activities and production scheduling plays an important role. The aim of the research is to create an automated process estimation system based on the processing plan of previously manufactured artifacts, which supports the scheduling software in the case of a custom manufacturing environment. We present a method and corresponding similarity metrics and evaluate the performance of our method on a set of real-life manufacturing plans and design data.

Keywords:

manufacturing workflow planning, intelligent design, shape distance metrics, custom manufacturing

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Published Online

2026-03-17

How to Cite

Szabó, R., Gönczy, L., Mikó, B., Nagy, D. “Data-driven Decision Support in Custom Manufacturing Planning”, Periodica Polytechnica Mechanical Engineering, 70(1), pp. 1–16, 2026. https://doi.org/10.3311/PPme.38356

Issue

Vol. 70 No. 1 (2026)

Section

Articles