Evaluating the efficiency of 3PL logistics operations

Hamdan, Amer Cavalheiro; Rogers, Kevin

doi:10.1016/j.ijpe.2007.05.019

Cited by 132 publications

(78 citation statements)

References 12 publications

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“…Previous studies showed that there are differences in efficiency scores between small and large distribution systems or warehouses ( Andrejić et al 2013;Banaszewska et al 2012;Hamdan and Rogers 2008). Accordingly, we are interested to investigate whether the efficiency scores differ among groups.…”

Section: Freight Villages' Size and Efficiency Scorementioning

confidence: 99%

Efficiency analysis of European Freight Villages: three peers for benchmarking

Yang

Taudes

Dong

2015

Cent Eur J Oper Res

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Measuring the performance of Freight Villages (FVs) has important implications for logistics companies and other related companies as well as governments. In this paper we apply Data Envelopment Analysis (DEA) to measure the performance of European FVs in a purely data-driven way incorporating the nature of FVs as complex operations that use multiple inputs and produce several outputs. We employ several DEA models and perform a complete sensitivity analysis of the appropriateness of the chosen input and output variables, and an assessment of the robustness of the efficiency score. It turns out that about half of the 20 FVs analyzed are inefficient, with utilization of the intermodal area and warehouse capacity and level of goods handed the being the most important areas of improvement. While we find no significant differences in efficiency between FVs of different sizes and in different countries, it turns out that the FVs Eurocentre Toulouse, Interporto Quadrante Europa and GVZ Nürnberg constitute more than 90% of the benchmark share.

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Section: Freight Villages' Size and Efficiency Scorementioning

confidence: 99%

Efficiency analysis of European Freight Villages: three peers for benchmarking

Yang

Taudes

Dong

2015

Cent Eur J Oper Res

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“…Entretanto, todos são originários de um único modelo clássico desenvolvido na Xerox e apresentado por Camp (1989 Percebe-se que o processo de benchmarking é cíclico e realimentado, e que é definido em função dos objetivos que as empresas desejam atingir, sintonizados aos desejos dos clientes, seja na melhoria contínua de processos ou nas características de seus produtos. Com base no Quadro 3, identificou-se que a técnica mais utilizada foi a DEA (7; 41,2%), (HABIBOV, 2010;CORTON, 2009;TAN, 2008;NAYAR, 2008;HAMDAN, 2008;LEONG, 2003;DONNELLY, 2000), seguida da AHP (3; 17,6%) (BÜYÜKÖZKAN, 2012;BÜYÜKÖZKAN, 2011;ANDRONIKIDIS, 2009 (GRUPP, 2004).…”

Section: O Processo De Benchmarkingunclassified

“…Segundo o autor, mais importante do que o resultado são as possibilidades de análise com foco no desenvolvimento econômico de forma ampla, não somente baseada em indicadores financeiros e de infraestrutura física. Em Hamdan (2008), na análise de operações logísticas de depósitos de uma companhia, o autor insere restrições sintonizadas aos objetivos dessa empresa, definidas por especialistas internos e obtém um resultado considerado mais adequado com relação ao uso do modelo de Cooper, Seiford e Tone (2000) sem essas restrições. Sendo assim, percebe-se a dependência dos resultados da análise da eficiência em função de restrições adequadas ao problema, definidas por especialistas.…”

Section: Deaunclassified

Benchmarking by Item Response Theory (BIRTH)

Pacheco

Andrade

Bornia

2015

Benchmarking: An International Journal

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Purpose – The purpose of this paper is to present a new method for benchmarking, which allows the construction of scales of competitiveness for the comparison of products using Item Response Theory (IRT). Design/methodology/approach – Theoretically, the method combines classic benchmarking process steps with IRT steps and demonstrates through mathematical models how this technique can measure the competitiveness of products by means of a latent trait. Findings – The IRT method uses the theories of psychometrics to measure the competitiveness of products through qualitative and quantitative interpretation of the tangible and intangible characteristics of those products. To demonstrate the application of the developed method, the items were constructed for teaching staff. Research limitations/implications – The application of the developed method will increase the accuracy of assessments of the competitiveness of a product because this method uses a mathematical model of the IRT to evaluate the characteristics product that reflect market competitiveness. Items must be selected based on theories relevant to the product and/or expert opinion or customers. Practical implications – The applicability of the method results in the construction of a scale in which items identify good practice with greater difficulty because they are represented in the same units that index competitiveness. Thus, managers of companies obtain knowledge about their products and the market, which allows them to assess their performance against their competitors and to make decisions regarding the continuous improvement of their production process and expansion of product characteristics. Originality/value – This work presents a new method for benchmarking using a quantitative technique that enables measurement of the latent trait of “competitiveness” through robust mathematical models.

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“…Although DEA has already been satisfactorily employed in other segments that are logisticsrelated -such as third-party logistics (MIN; JOO, 2006;HAMDAN;ROGERS, 2007;SENRA et al, 2007;ZHOU et al, 2008;AFFONSO, 2011), airline industry (SCHEFCZYK, 1993), airports (MELLO, 2003;PACHECO;FERNANDES, 2003;BARROS et al, 2010;FONSECA et al, 2010 Specifically concerning the trucking industry, Odeck and Hjalmarsson (1996) and Hjalmarsson and Odeck (1996) initially demonstrated the usefulness of DEA as a tool for evaluating the efficiency of trucks involved in road construction and maintenance production processes in Norway. Meja and Corsi (1999) conducted DEA analysis to assess a motor carrier's safety process, showing how this technique might be useful to carriers, regulators, and shippers.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating efficiency in the Brazilian trucking industry

Wanke

2012

Prod.

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The purpose of this study is to investigate the issue of efficiency in the Brazilian motor carrier industry using both DEA (Data Envelopment Analysis) and SFA (Stochastic Frontier Analysis) in a complimentary fashion. The study is based on secondary data collected from Transporte Moderno/Maiores e Melhores, a specialized magazine that annually reports statistics on the largest Brazilian trucking companies. Results corroborate not only that increasing returns to scale prevail within this industry, but also provide support for a moderate impact of economies of scope on efficiency levels. Implications in terms of mergers and acquisitions and the impact of cargo diversity and the geographical scope of the operation on virtual efficiency levels are also addressed.

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Evaluating the efficiency of 3PL logistics operations

Cited by 132 publications

References 12 publications

Efficiency analysis of European Freight Villages: three peers for benchmarking

Efficiency analysis of European Freight Villages: three peers for benchmarking

Benchmarking by Item Response Theory (BIRTH)

Evaluating efficiency in the Brazilian trucking industry

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