James E. Storbeck
Ohio State University
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Socio-economic Planning Sciences | 1982
James E. Storbeck
This paper presents a goal programming approach to location covering the contrasts the resultant models with other covering formulations. One of the primary differences between the models forwarded in this paper and those of previous studies is the notion of slack and natural slack in the definition of coverage relations. Our approach takes advantage of the latter concept, natural slack, and produces a location covering form which is more flexible in the determination of objective functions than that of other formulations. Furthermore, we show how the goal programming framework adopted herein allows consideration of a wider range of location covering policy issues.
International Journal of Production Economics | 1996
Thomas E. Hartman; James E. Storbeck
In the previous decade the Swedish banking sector underwent large changes. Probably the single most influential cause was a gradual relaxation of regulations. The development meant new challenges a ...
Computers, Environment and Urban Systems | 1990
Anand Desai; James E. Storbeck
Abstract This paper proposes a new technique for measuring relative spatial efficiency. A data envelopment analysis (DEA) model for evaluating the efficiency of incremental siting decisions is formulated. The model provides an intuitively attractive approach to measuring accessibility on the basis of multiple spatial criteria, and articulates a ratio-scale based understanding of the “noninferiority” of locational decisions. As such, it puts the more useful aspects of the multiobjective siting process within the grasp of the decision maker. This work rests squarely on the conceptual foundation laid down by Fisher and Rushton (1979). Consequently, our model might best be viewed as a first attempt to operationalize their constructs.
Archive | 1996
Thomas E. Hartman; James E. Storbeck
Using Data Envelopment Analysis (DEA), we measure the managerial and program efficiencies of service delivery in each of fifty branches of a Swedish savings and loan bank. The primary modeling framework used in this paper is based upon a decomposition first suggested by Charnes and Cooper [4], and later refined into its constituent components by Byrnes [3].
Socio-economic Planning Sciences | 1983
Charles F. Adams; James E. Storbeck
Abstract Changes in population for the nations largest central cities are decomposed into their regional shift and city-suburban disparity components. These decompositions, performed within an information theoretic context, provide a basis for distinguishing urban development policy roles among the federal, state, and local governmental sectors.
Socio-economic Planning Sciences | 1984
Timothy W. Ruefli; James E. Storbeck
Abstract Most models of resource allocation activity usually assume either a black box or a simple pyramidal hierarchy of black boxes as the organizational context for decision making. However, there are a number of resource allocation activities that take place in more complex hierarchies. These cases have been slighted by researchers, in part, because of a lack of practicable models. This paper presents a multiple-criterion resource allocation model specifically directed towards non-pyramidal hierarchies and other more complex organizational structures. A number of examples are discussed and a numerical example is presented.
Journal of the Operational Research Society | 1991
Hokey Min; James E. Storbeck
Journal of the Operational Research Society | 1994
John R. Current; James E. Storbeck
Decision Sciences | 1991
Richard L. Church; John R. Current; James E. Storbeck
Geographical Analysis | 2010
James E. Storbeck; Rakesh V. Vohra