Conventional applications of data envelopment analysis (DEA) presume the existence of a set of similar decision making units, wherein each unit is evaluated relative to other members of the set. Often, however, the DMUs fall naturally into groupings, giving rise first to the problem of how to...

In most applications ofDEA presented in the literature, the models presented are designedto obtain a single measure of efficiency. In many instances however,the decision making units involved may perform several differentand clearly identifiable functions, or can be separated intodifferent...

This paper develops a mathematical programming model for obtaining a best set of sites for planned facilities. The model is concerned with those situations where resource constraints are present. The specific setting for the paper involves the selection of sites for a set of retail outlets,...

This paper presents a new approach to the classical multiyear capital budgeting problem. Three basic operational principles, arising out of an actual implementation of such a model, are specifically addressed in this approach. These principles are: (1) all budgets except that of the first year...

This paper presents a solution procedure for a class of discontinuous nonlinear knapsack problems. These problems have a single linear constraint and a restriction that each variable must be either zero or take on a value within a specified interval. The objective function is separable and each...

This paper presents an improved efficiency measurement tool by modifying the existing data envelopment analysis methodology to permit the incorporation of expert knowledge. A previous paper examined the inclusion of such knowledge within the additive model. This information appeared in the form...