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Using data envelopment analysis to benchmark logistic performance in Belgian manufacturing companies

Sofie Van Volsem UGent and Hendrik Van Landeghem UGent (2009) CIE : 2009 international conference on computers and industrial engineering, vols 1-3. p.431-436
abstract
Performance evaluation and benchmarking are widely used methods to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuable when no objective or engineered standard is available to define efficient and effective performance. DEA is a linear programming technique used to evaluate the efficiency of decision-making units (DMUs) where multiple inputs and outputs are involved. The main idea of DEA is to extend the traditional concept of productivity or efficiency (ratio of output and input) to make it suitable for the multiple-input multiple-output case. We will use the Excel implementations introduced in Zhu, J., (2003), to study a set of data from 80 Belgium companies that includes some logistic measurements, general information and best practices adoption rates. The aim of this work is to discuss the ways DEA can be useful in benchmarkinging, and, in an effort to address the unique needs of SMEs to develop easy-to-understand, graphical ways to display the analyses’ results.
Please use this url to cite or link to this publication:
author
organization
year
type
conference (proceedingsPaper)
publication status
published
subject
keyword
MODEL, OPERATIONS, EFFICIENCY, performance, logistics, DEA, benchmarking
in
CIE : 2009 international conference on computers and industrial engineering, vols 1-3
editor
I Kacem
pages
431 - 436
publisher
IEEE
place of publication
New York, NY, USA
conference name
39th International conference on Computers and Industrial Engineering (CIE-39)
conference location
Troyes, France
conference start
2009-07-06
conference end
2009-07-08
Web of Science type
Proceedings Paper
Web of Science id
000277450700078
ISBN
9781424441365
9781424441358
DOI
10.1109/ICCIE.2009.5223792
language
English
UGent publication?
yes
classification
P1
id
599271
handle
http://hdl.handle.net/1854/LU-599271
date created
2009-04-23 14:09:43
date last changed
2017-01-02 09:52:24
@inproceedings{599271,
  abstract     = {Performance evaluation and benchmarking are widely used methods to identify and adopt best practices as a means to improve performance and increase productivity, and are particularly valuable when no objective or engineered standard is available to define efficient and effective performance. DEA is a linear programming technique used to evaluate the efficiency of decision-making units (DMUs) where multiple inputs and outputs are involved. The main idea of DEA is to extend the traditional concept of productivity or efficiency (ratio of output and input) to make it suitable for the multiple-input multiple-output case. We will use the Excel implementations introduced in Zhu, J., (2003), to study a set of data from 80 Belgium companies that includes some logistic measurements, general information and best practices adoption rates. The aim of this work is to discuss the ways DEA can be useful in benchmarkinging, and, in an effort to address the unique needs of SMEs to develop easy-to-understand, graphical ways to display the analyses{\textquoteright} results.},
  author       = {Van Volsem, Sofie and Van Landeghem, Hendrik},
  booktitle    = {CIE : 2009 international conference on computers and industrial engineering, vols 1-3},
  editor       = {Kacem, I},
  isbn         = {9781424441365},
  keyword      = {MODEL,OPERATIONS,EFFICIENCY,performance,logistics,DEA,benchmarking},
  language     = {eng},
  location     = {Troyes, France},
  pages        = {431--436},
  publisher    = {IEEE},
  title        = {Using data envelopment analysis to benchmark logistic performance in Belgian manufacturing companies},
  url          = {http://dx.doi.org/10.1109/ICCIE.2009.5223792},
  year         = {2009},
}

Chicago
Van Volsem, Sofie, and Hendrik Van Landeghem. 2009. “Using Data Envelopment Analysis to Benchmark Logistic Performance in Belgian Manufacturing Companies.” In CIE : 2009 International Conference on Computers and Industrial Engineering, Vols 1-3, ed. I Kacem, 431–436. New York, NY, USA: IEEE.
APA
Van Volsem, S., & Van Landeghem, H. (2009). Using data envelopment analysis to benchmark logistic performance in Belgian manufacturing companies. In I. Kacem (Ed.), CIE : 2009 international conference on computers and industrial engineering, vols 1-3 (pp. 431–436). Presented at the 39th International conference on Computers and Industrial Engineering (CIE-39), New York, NY, USA: IEEE.
Vancouver
1.
Van Volsem S, Van Landeghem H. Using data envelopment analysis to benchmark logistic performance in Belgian manufacturing companies. In: Kacem I, editor. CIE : 2009 international conference on computers and industrial engineering, vols 1-3. New York, NY, USA: IEEE; 2009. p. 431–6.
MLA
Van Volsem, Sofie, and Hendrik Van Landeghem. “Using Data Envelopment Analysis to Benchmark Logistic Performance in Belgian Manufacturing Companies.” CIE : 2009 International Conference on Computers and Industrial Engineering, Vols 1-3. Ed. I Kacem. New York, NY, USA: IEEE, 2009. 431–436. Print.