Lot Quality Assurance Sampling (LQAS) applications in health have generally relied on frequentist interpretations for statistical validity. Yet health professionals often seek statements about the probability distribution of unknown parameters to answer questions of interest. The frequentist paradigm does not pretend to yield such information, although a Bayesian formulation might. This is the ...

We consider two queueing control problems that are stochastic versions of the economic lot scheduling problem: A single server processes N customer classes, and completed units enter a 'nished goods inventory that services exogenous customer demand. Unsatis'ed demand is backordered, and each class has its own general service time distribution, renewal demand process, and holding and backorderin...

In this paper we extend the generalized surrogate optimization approaches and the stochastic comparison so as to tackle the lot-sizing problem in manufacturing system. In practice, with the surrogate methodology, the lot sizes are continuously adjusted on-line by the gradient-based approaches. The lot sizing determines the number of parts batched together for production. We utilize the queueing...

For a positive coagulase test with certain isolates of Staphylococcus aureus, inoculation of 0.5 ml of coagulase plasma with at least two colonies and 24 h of incubation at 35 to 37 degrees C may be required. S. aureus does not multiply in coagulase plasma. There is also lot-to-lot variation in the sensitivity of coagulase plasma. On isolates from critical specimens, a negative coagulase test o...

Conventional approach for solving replenishment lot size problem is by using the differential calculus with the need of applying the first-order and second-order differentiations to the long-run average production-inventory cost. A recent published paper used conventional method to determine optimal lot size for an integrated production-delivery system with scrap and cost lessening distribution...