An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance

Applied Mathematics and Computation, volume 406, 2021[10.1016/j.amc.2021.126261]

42 Pages Posted: 7 Dec 2017 Last revised: 20 Oct 2024

See all articles by Bert M. Balk

Bert M. Balk

Erasmus University Rotterdam (EUR) - Rotterdam School of Management (RSM)

M. B. M. de Koster

Erasmus University Rotterdam (EUR) - Department of Technology and Operations Management

Christian Kaps

Harvard University - Technology & Operations Management Unit

José L. Zofío

Universidad Autónoma de Madrid; Rotterdam School of Management, Erasmus University

Date Written: December 6, 2017

Abstract

In this paper method and practice of cross-efficiency calculation is discussed. The main methods proposed in the literature are tested not on a set of artificial data but on a realistic sample of input-output data of European warehouses. The empirical results show the limited role which increasing automation investment and larger warehouse size have in increasing productive performance. The reason is the existence of decreasing returns to scale in the industry, resulting in sub-optimal scales and inefficiencies, regardless of the operational performance of the facilities. From the methodological perspective, and based on a multidimensional metric which considers the capability of the various methods to rank warehouses, their ease of implementation, and their robustness to sensitivity analyses, we conclude to the superiority of the classic Sexton et al. (1986) method over recently proposed, more sophisticated methods.

Keywords: Cross-efficiency methods, warehouse efficiency, automation investment

JEL Classification: C43, C61, D22, D24, L81, L87

Suggested Citation

Balk, Bert M. and de Koster, M.B.M. René and Kaps, Christian and Zofío, José L., An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance (December 6, 2017). Applied Mathematics and Computation, volume 406, 2021[10.1016/j.amc.2021.126261], Available at SSRN: https://ssrn.com/abstract=3083526 or http://dx.doi.org/10.1016/j.amc.2021.126261

Bert M. Balk (Contact Author)

Erasmus University Rotterdam (EUR) - Rotterdam School of Management (RSM) ( email )

P.O. Box 1738
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M.B.M. René De Koster

Erasmus University Rotterdam (EUR) - Department of Technology and Operations Management ( email )

RSM Erasmus University
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HOME PAGE: http://www.rsm.nl/rdekoster

Christian Kaps

Harvard University - Technology & Operations Management Unit ( email )

Gordon Rd
Boston, MA 02163
United States

José L. Zofío

Universidad Autónoma de Madrid ( email )

Francisco Tomás y Valiente, 5
Madrid, Madrid 28049
Spain
914972406 (Phone)

Rotterdam School of Management, Erasmus University ( email )

RSM Erasmus University
PO Box 1738
Rotterdam, 3062 PA
Netherlands

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