Using the Analytic Hierarchy Process (AHP) and fuzzy logic to evaluate the possibility of introducing single point incremental forming on industrial scale | Zendy

Octavian Bologa | Zendy; Radu-Eugen Breaz | Zendy; Sever-Gabriel Racz | Zendy

Open Access

Using the Analytic Hierarchy Process (AHP) and fuzzy logic to evaluate the possibility of introducing single point incremental forming on industrial scale

Author(s) -

Octavian Bologa,

Radu-Eugen Breaz,

Sever-Gabriel Racz

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.10.262

Subject(s) - computer science , analytic hierarchy process , fuzzy logic , robustness (evolution) , industrial engineering , process (computing) , scale (ratio) , fuzzy inference system , reliability engineering , data mining , operations research , artificial intelligence , fuzzy control system , adaptive neuro fuzzy inference system , mathematics , biochemistry , chemistry , physics , quantum mechanics , engineering , gene , operating system

Single point incremental forming (SPIF) is a promising forming process, yet not entirely accepted and implemented on industrial scale, due to several reasons, presented in the paper. The approach presented here develops an evaluation method for the degree of its industrial implementation. Several factors which will favor the industrial implementation of ASPIF are identified and their weights are hierarchized by means of AHP. To assess the robustness of the AHP, a sensitivity analysis was also presented. Furthermore, a fuzzy inference system was built, having as output the degree of industrial implementation of SPIF.

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