ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Desain Komposit Pusat×Desain Eksperimen×
BidangDesain EksperimenDesain Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19511935
PencetusGeorge E. P. Box and K. B. WilsonRonald A. Fisher
TipeResponse surface experimental designExperimental planning framework
Sumber perintisBox, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society: Series B, 13(1), 1–45. DOI ↗Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd. link ↗
AliasCCD, Box-Wilson design, central composite response surface design, rotatable central composite designDOE, experimental design, factorial experimentation, planned experimentation
Terkait33
RingkasanCentral Composite Design (CCD) is a second-order response surface design that allows researchers to efficiently fit a full quadratic model relating multiple continuous input factors to one or more response variables. Introduced by Box and Wilson in 1951, it combines a factorial (or fractional factorial) core, axial (star) points, and center-point replicates into a single unified design, making it the most widely used design for process optimization in engineering, chemistry, and manufacturing.Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Central Composite Design · Design of experiments. Diakses 2026-06-19 dari https://scholargate.app/id/compare