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     Research Journal of Applied Sciences, Engineering and Technology


Using Multi-Objective DEA to Assess the Overall and Partial Performance of Hierarchical Resource Utilization

Abdorrahman Haeri, Kamran Rezaie and Mohsen-Sadegh Amalnick
Department of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  4:1213-1224
http://dx.doi.org/10.19026/rjaset.5.4840  |  © The Author(s) 2013
Received: June 23, 2012  |  Accepted: July 28, 2012  |  Published: February 01, 2013

Abstract

Heterogeneous resources transform into other resource forms through business processes and activities in organizations. This basic concept is called “resource transformation” in the literature. Resource transformation assumes that resources receive value from other resources and deliver value to the same resources. In this study, it is assumed that each resource acts as a Decision Making Unit (DMU) that converts input factors from other resources to the output factors that are resources themselves. Multi-Objective Data Envelopment Analysis (MODEA) is applied to attain overall and partial efficiency scores of resources to evaluate the performance of resources in utilizing different types of resources. The results show whether resources utilize other resources weakly or efficiently and provide the ability to compare the performance of different types of resource transformation. The findings help decision makers identify the weaknesses and strengths of resource performance in organizations.

Keywords:

Hierarchical resource classification, multi-objective data envelopment analysis, overall efficiency score, partial efficiency score, resource transformation,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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