2017
DOI: 10.2139/ssrn.3083526
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An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance

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 suboptimal scales and inefficiencies… Show more

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Cited by 6 publications
(7 citation statements)
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References 51 publications
(59 reference statements)
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“…The principal advantage of using the DEA method is its flexibility to incorporate factors incomparable a priori (both inputs and outputs) that makes the results easily interpretable. As Balk et al 2017 illustrate, the DEA method searches for the most favorable weight when evaluating a production unit, by constructing a virtual aggregate input to output productivity ratio, each constructed as a linear combination of observed values.…”
Section: Data and Variablesmentioning
confidence: 99%
“…The principal advantage of using the DEA method is its flexibility to incorporate factors incomparable a priori (both inputs and outputs) that makes the results easily interpretable. As Balk et al 2017 illustrate, the DEA method searches for the most favorable weight when evaluating a production unit, by constructing a virtual aggregate input to output productivity ratio, each constructed as a linear combination of observed values.…”
Section: Data and Variablesmentioning
confidence: 99%
“…To aggregate all cross-efficiencies in a multiplicative framework we depart on this occasion from standard practice and use the geometric mean, whose properties make the aggregation meaningful when consistent (transitive) bilateral comparisons of performance in terms of productivity are pursued, see Aczél and Roberts (1989) and Balk et al (2017). Hence:…”
Section: Profitability Cross-efficiencymentioning
confidence: 99%
“…The reason for this is that problem (1), (2), (13), (4) represents an input-oriented DEA model with outputs and a single input, equal to unity (Lovell and L Pastor 1999). It is well-known that the optimal objective value of an input-oriented model represents an input reduction factor for reaching the best-practice frontier by the decisionmaking unit and thus its inverse radial distance to that frontier (Balk et al 2017;Cooper et al 2011, Section 1.5). Therefore, averaging peer ratings in terms of their harmonic mean lends itself to a natural interpretation: averaging of radial distances rather than their reciprocals.…”
Section: Ensuring a Weakly Convex Weight Order We Address Issue (I) mentioning
confidence: 99%