A tree network is a collection of trees rooted at a common central node. Several types of network design problems can be viewed as requiring the formation of a spanning tree network of minimum length, subject to a bound on the sum of "weights" on the nodes of any component tree. Such problems...

Hypertension is one of the most important risk factors with respect to coronary heart disease and stroke. The benefits of early detection of hypertension and the subsequent design of follow-up treatment programs are well documented. Consequently, screening programs have been designed to identify...

A double screening procedure (DSP), which controls for individual unit misclassification error (IME) as well as average outgoing quality (AOQ), for quality control applications is developed. Screening involves selecting items whose performance is within specifications based on observing one or...

Traditional statistical process control charts assume that observations are independent and normally distributed about some mean. We investigate the robustness of traditional charts to data correlation when the correlation can be described by an ARMA(1,1) model. We compare the performance of the...

An interactive goal programming approach for assessing scenario probabilities used in long-range forecasting and decision analysis is developed and illustrated using a small numerical example. The method only requires marginal event probability and ordinal or interval first-order conditional...

"Public agencies are very keen on amassing statistics---they collect them, add them, raise them to the nth power, take the cube root and prepare wonderful diagrams. But what you must never forget is that every one of those figures comes in the first instance from the village watchman, who just...

Motivated by an aggregate production-planning problem in an actual global manufacturing network, we examine the impact of exchange-rate uncertainty on the choice of optimal production policies when the allocation decision can be deferred until the realization of exchange rates. This leads to the...

A methodology for determining optimal sampling plans for Bayesian multiattribute acceptance sampling models is developed. Inspections are assumed to be nondestructive and attributes are classified as scrappable or screenable according to the corrective action required when a lot is rejected on a...

The impact of a decision maker's risk aversion on the choice of an optimal sampling plan is empirically examined for various batch sizes and prior distributions of the process quality level. These plans are compared to those of the classical linear cost model. The comparisons show that...

Information processing and choice behavior of research and development (R&D) managers and MBA students were investigated through play of a simple R&D decision game under conditions of technical uncertainty. The experimental design permitted a detailed micro-analysis of the players' behavior. The...