Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Article

Download file Download BibTeX

Title

Industrial plants performance evaluation using dynamic DEA

Authors

Year of publication

2016

Published in

Research in Logistics & Production

Journal year: 2016 | Journal volume: vol. 6 | Journal number: no. 5

Article type

scientific article

Publication language

english

Keywords
EN
  • dynamic DEA
  • energy efficiency
  • industrial plants
  • slacks-based measure approach
Abstract

EN The objective of the paper is to evaluate the energy efficiency performance of industrial plants based on energy audit measures using dynamic Data Envelopment Analysis. The paper demonstrates a three-stage DEA based on slacks-based measure approach to evaluate the energy efficiency of U.S. industrial plants. Also, a 3-step approach to select relevant variables to be employed in slacks-based measure model. The paper has revealed inefficiencies of industrial plants, which were considered as efficient ones examined individually in energy audit procedure. The results indicate that half of analyzed plants are not performing at high energy efficiency, given a total of 6 facilities were operating efficiently. It shows that these industrial plants appear to have the potential to reduce their energy use and cost. Moreover, the results were enriched with the additional analysis of input excesses and output shortfalls and further suggestions for improving energy efficiency are provided.

Pages (from - to)

465 - 476

DOI

10.21008/j.2083-4950.2016.6.5.8

Full text of article

Download file

Access level to full text

public

Ministry points / journal

8

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.