Estimation and inference in two-stage, semi-parametric models of production processes

The purpose of this paper is to briefly trace the evolution of DEA from the initial publication by Charnes et al. (1978b) to the current state of the art (SOA). The state of development of DEA is characterized at four points in time to provide a perspective in both directions—past and future. An evolution map is provided which illustrates DEA growth during the 17-year period, the timing of the major events, and the interconnections and influences between topics. An extensive DEA bibliography is provided.

Data envelopment analysis: The evolution of the state of the art (1978–1995)

Since the original DEA study by Charnes, Cooper and Rhodes (1978), there has been a rapid growth in the field. Due to the interdisciplinary nature of much of the research, there is a need for a single source referencing the wide range of articles appearing in the literature. The author's intention in maintaining a bibliography of DEA-related articles is to provide such a single source and thus facilitate comprehensive growth in the field. This version compiles over 800 published articles and dissertations related to Data Envelopment Analysis (DEA). The bibliography covers the years 1978-1996. Due to the archival nature of the publication, working papers and technical reports were excluded. While the bibliography was compiled from various sources, it represents the effort of a single person and consequently no claim can be made as to its completeness. Any corrections, additions, and/or suggestions will be welcomed in order that the bibliography may be revised and redistributed in a more complete and correct form. In particular, the author, with the assistance of Joe Zhu, is in the process of creating a WWW version of the DEA bibliography. When completed, it will be accessible from the author's homepage at the URL http://www.ecs.umass.edu/mie/faculty/seiford.html The author wishes to thank all colleagues who continue to send copies of their papers and would appreciate receiving additional DEA-related articles for incorporation into future versions of the bibliography.

A bibliography for Data Envelopment Analysis (1978-1996)

Multiunit restaurant productivity assessment using three-phase data envelopment analysis

https://pure.tue.nl/ws/files/2879536/685931.pdf

Applications of polling systems

North Carolina uses data envelopment analysis (DEA) to produce a pupil transportation funding process that encourages operational efficiency and reduces expenditures. To do so, we extended the DEA methodology to nonhomogeneous units by integrating DEA with a regression model that adjusts the DEA output to account for variations in site characteristics and to ensure that the final funding allocations were fair. The new process has led to changes in bus routes and schedules, adjustments in school start and stop times, and reductions in the inventory of buses. Between 1990 and 1993, the state saved $25.2 million in capital costs and $27.9 million in operating costs, and it expects savings to increase.

Robert E. Taggart

Papers

Improving Pupil Transportation in North Carolina