Abstract
A combination of double sampling and variable sampling interval (DSVSI) charts can increase the efficiency of signaling small shifts . This study proposes an economic-statistical model for designing joint DSVSI and s charts. The proposed approach uses the economic model developed by Duncan in 1956. Research results indicate that the economic-statistical design of the joint DSVSI
and s charts outperformed traditional economic design approach in detection abilities of process shifts; variable cost (a2), expected costs resulting from defective products when the process was in control (C0), and the expected number of assignable causes (λ) have the major influence on cost E(C′); deviations (δ, γ) significantly influenced cost E(C′); and statistical limitations (
) do not substantially affect cost E(C′).