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Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis

机译：使用数据包络分析对第三方物流提供商的运营效率进行基准评估

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Purpose - In an era of downsizing and financial cutbacks, the operational efficiency of third party logistics providers (3PLs) dictates their competitiveness and/or survival. In an effort to help 3PLs enhance productivity and price leverage in the increasingly competitive third party logistics market, this paper aims to develop a meaningful set of financial benchmarks that will dictate best practices. In particular, the paper proposes a data envelopment analysis (DEA) that is proven to be useful for measuring the operational efficiency of various profit or non-profit organizations. Design/methodology/approach - Using the examples of major 3PLs in the USA, this paper is the first to illustrate the usefulness of DEA for measuring the competitiveness of third party logistics services. The proposed DEA model also helps 3PLs identify potential sources of inefficiency and provide useful hindsight for the continuous improvement of operational efficiency. Furthermore, the proposed DEA model not only helps 3PLs establish detailed policy guidelines in prioritizing the use of financial resources, but also helps them evaluate the effects of financial investment on the profitability of 3PLs. Findings - DEA study finds that the strength of 3PL service performances and the breadth of diverse 3PL services is somewhat correlated to the long-term financial strength of 3PLs. Originality/value - The main contribution of this paper includes the novel application of DEA to the performance measurement of 3PLS. The proposed DEA model not only helps 3PLS establish detailed policy guidelines in prioritizing the use of financial resources, but also helps them evaluate the effects of financial investment on the profitability of 3PLS.
机译：目的-在精简和财务削减的时代，第三方物流提供商（3PL）的运营效率决定了它们的竞争力和/或生存能力。为了帮助3PL在竞争日益激烈的第三方物流市场中提高生产率和价格杠杆作用，本文旨在开发一套有意义的财务基准，以指导最佳实践。特别是，本文提出了一种数据包络分析（DEA），它被证明可用于衡量各种盈利或非盈利组织的运营效率。设计/方法/方法-以美国主要的3PL为例，本文首次说明了DEA在衡量第三方物流服务竞争力方面的实用性。提出的DEA模型还可以帮助3PL识别潜在的低效率来源，并为持续提高运营效率提供有用的后见之明。此外，提出的DEA模型不仅有助于3PL在优先使用金融资源方面建立详细的政策指导方针，而且还可以帮助他们评估金融投资对3PL盈利能力的影响。调查结果-DEA研究发现3PL服务性能的强弱和各种3PL服务的广度在某种程度上与3PL的长期财务实力相关。原创性/价值-本文的主要贡献包括DEA在3PLS性能测量中的新颖应用。提出的DEA模型不仅有助于3PLS在优先使用金融资源方面建立详细的政策指南，而且还可以帮助他们评估金融投资对3PLS盈利能力的影响。

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