boptimal_cost: Optimal Test Plans with Minimum Expected Overall Costs in...
In BRDT: Binomial Reliability Demonstration Tests

Description Usage Arguments Value See Also Examples

Define the optimal function to find the optimal test plans with minimum expected overall costs (for binomial RDT).

1	boptimal_cost(Cf, Cv, G, Cw, N, Rvec, cvec, pi, thres_CR)

`Cf`	Fixed costs of RDT
`Cv`	Variable unit costs of RDT
`G`	Reliabilty growth cost
`Cw`	Average cost per warranty claim
`N`	Sales volume
`Rvec`	Vector of lower level reliability requirements
`cvec`	Vector of maximum allowable failures
`pi`	Failure probability
`thres_CR`	Threshold (acceptable level) of consumer's risk

Vector of optimal test plan parameters, acceptance probabiltiy and cost

boptimal_n for getting the optial test sample size; bdata_generator for generating optimal test plans dataset;

Rvec <- seq(0.8, 0.85, 0.01)
cvec <- seq(0, 2, 1)
pi <- pi_MCSim_beta(M = 5000, seed = 10, a = 1, b = 1)
boptimal_cost(Cf = 10, Cv = 10, G = 100, Cw = 10,
N = 100, Rvec = Rvec, cvec = cvec, pi = pi, thres_CR = 0.5);