We develop a procedure and the requisite theory for incorporating preference information in a novel way in the efficiency analysis of Decision Making Units. The efficiency of Decision Making Units is defined in the spirit of Data Envelopment Analysis (DEA), complemented with Decision Maker's...

An interactive method employing pairwise comparisons of attainable solutions is developed for solving the discrete, deterministic multiple criteria problem assuming a single decision maker who has an implicit quasi-concave increasing utility (or value) function. The method chooses an arbitrary...

The concept of efficiency as it applies to Decision Making Units (DMUs), solutions, alternatives plays an important role both in Data Envelopment Analysis (DEA) and Multiple Objective Linear Programming (MOLP). Despite this and other apparent similarities, DEA and MOLP research has developed...

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...

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...