Consumer-packaged freight delivery evaluation: A multiple criteria data envelopment analysis approach
Document Type
Article
Publication Date
8-15-2006
Abstract
This research deals with the evaluation of the efficiency of consumer freight package delivery. Model inputs include number of delivery and administrative employees, labor hours, operating costs, and number of deliver vehicles. Outputs include number of packages delivered, percent on-time, percent lost, percent damaged, revenue per package, and customer satisfaction. The methodology used to evaluate the efficiency of the decision-making units (DMUs) under consideration is data envelopment analysis (DEA) involving multiple criteria. The inclusion of additional criteria beyond basic DEA efficiency can improve discriminating power between DMUs and also tends to yield more reasonable weights on model inputs and outputs.
Identifier
84931408609 (Scopus)
Publication Title
Applications of Management Science
External Full Text Location
https://doi.org/10.1016/S0276-8976(06)12002-7
ISSN
02768976
First Page
13
Last Page
21
Volume
12
Recommended Citation
Reeves, Gary R.; Lawrence, Kenneth D.; and Lawrence, Sheila M., "Consumer-packaged freight delivery evaluation: A multiple criteria data envelopment analysis approach" (2006). Faculty Publications. 18849.
https://digitalcommons.njit.edu/fac_pubs/18849
