The Bayesian results will depend on the prior. They use a uniform distribution over # tanks produced, in the limit of the distribution's maximum -> infinity. Is that reasonable? Something more constrained might be better, maybe a gamma-Poisson prior with gamma mean based on some plausible estimate of production rate.

(The frequentist/Bayesian estimates should converge as you collect more observations.)