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Aplikasi Industri Reka Bentuk Faktorial Penuh×Reka Bentuk Komposit Berpusat×
BidangReka Bentuk EksperimenReka Bentuk Eksperimen
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1926 (foundational); industrially systematized by Box, Hunter & Hunter ~1950s–19781951
PengasasRonald A. FisherGeorge E. P. Box and K. B. Wilson
JenisExperimental design / factorial experimentResponse surface experimental design
Sumber perintisMontgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443Box, 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 ↗
Aliasindustrial FFD, full factorial experiment, complete factorial design, 2^k factorial designCCD, Box-Wilson design, central composite response surface design, rotatable central composite design
Berkaitan33
RingkasanFull factorial design (FFD) applied in industrial settings is a structured experimental methodology in which every combination of factor levels is tested, enabling engineers to quantify main effects and all interaction effects among process or product variables. Widely used in manufacturing, chemical processing, materials science, and quality engineering, it provides a complete picture of how input factors jointly influence a response variable such as yield, strength, or defect rate.Central 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.
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ScholarGateBandingkan kaedah: Industrial applications full factorial design · Central Composite Design. Dicapai 2026-06-19 daripada https://scholargate.app/ms/compare