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...

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...

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 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...

Manufacturing systems typically contain processing and assembly stages whose output quality is significantly affected by the output quality of preceding stages in the system. This study offers and empirically validates a procedure for (1) measuring the effect of each stage's performance on the...

A lower bound on the total error in an accounting population is required, in conjunction with the point estimate of the total error amount and the upper bound, when adjusting an account to determine the amount of the adjustment. This paper extends the multinomial methodology for obtaining an...

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...

Bowman [Bowman, E. H. 1963. Consistency and optimality in Managerial decision making. Management Sci. 9 (2) 310-322.] and others have proposed that regression models derived from a manager's past behavior can serve as a basis for future managerial decisions. This paper is concerned with a...

The Bayesian algorithm presented in this paper provides a generalized procedure for determining the minimum cost sample size (n*) and acceptance number (c*) for single sample attribute acceptance plans. The algorithm is applicable to a broad range of acceptance sampling problems, assuming only...

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...