6 Many quality characteristics encountered in the food industry are compositional proportions, e.g. protein percentage in milk powder. The distributions of these quality characteristics are intrinsically not normal as well as cannot be well-approximated by it. Moreover the shape of underlying distribution of the quality characteristic in each lot is likely to change in a short-run production pr...

We show how to improve the efficiency of MCMC sampling in dynamic mixture models by block-sampling the discrete latent variable. Two algorithms are proposed: the first is a multi-move extension of the single-move Gibbs sampler devised by Gerlach, Carter and Kohn (2000); the second is an adaptive Metropolis-Hastings scheme that performs well even when the number of discrete states is large. Thre...

The LTPD plans for acceptance sampling which minimize the mean inspection cost per lot of the process average quality when the remainder of the rejected lots is inspected were originally designed by Dodge and Romig for the inspection by attributes. The sampling plans for the inspection by variables were then proposed and it has been shown that such plans are in many situations in practice more ...

Inventory management is the core of supply chain system, in which economic order quantity (EOQ) model a fundamental inventory model. This paper develops fuzzy EOQ presence inspection errors single sampling plans. The assumes probability mis-classifications. An system hypothesized where orders undergo acceptance sampling, back-orders are eliminated, and defectives set aside from inventory. Due t...