Home           Contact us           FAQs           
     Journal Home     |     Aim & Scope    |    Author(s) Information      |     Editorial Board     |     MSP Download Statistics
2013 (Vol. 5, Issue: 04)
Article Information:

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

Abdorrahman Haeri, Kamran Rezaie and Mohsen-Sadegh Amalnick
Corresponding Author:  Abdorrahman Haeri 

Key words:  Hierarchical resource classification, multi-objective data envelopment analysis, overall efficiency score, partial efficiency score, resource transformation, ,
Vol. 5 , (04): 1213-1224
Submitted Accepted Published
June 23, 2012 July 28, 2012 February 01, 2013

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.
Abstract PDF HTML
  Cite this Reference:
Abdorrahman Haeri, Kamran Rezaie and Mohsen-Sadegh Amalnick, 2013. Using Multi-Objective DEA to Assess the Overall and Partial Performance of Hierarchical Resource Utilization.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1213-1224.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2015. MAXWELL Scientific Publication Corp., All rights reserved