Production
https://prod.org.br/article/doi/10.1590/S0103-65132010005000045
Production
Article

Determinantes da eficiência de escala no setor brasileiro de operadores logísticos

Determinants of scale efficiency in the Brazilian 3PL industry

Wanke, Peter Fernandes; Affonso, Camila Rodrigues

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Resumo

O artigo foca o setor brasileiro de operadores logísticos (OLs) que, frente a um cenário altamente competitivo, oferece a seus clientes uma gama de serviços e de tecnologias de informação em busca de níveis maiores de eficiência. Seu objetivo principal é determinar as variáveis que apresentam impacto significativo na eficiência de escala dos OLs, por meio de modelagem de DEA (Data Envelopment Analysis – análise envoltória de dados) em dois estágios. Dados (2001-2008) da pesquisa anual feita pela Revista Tecnologística foram utilizados em um modelo de painel incompleto. Os inputs e outputs necessários para essa análise foram identificados, assim como as variáveis contextuais que podem impactar na eficiência de escala dos OLs. Os resultados corroboram evidências na literatura sobre o papel dos processos de coordenação no desempenho logístico.

Palavras-chave

DEA. Operadores logísticos. Eficiência de escala. Painel de dados.

Abstract

This paper focuses on the third-party logistics (3PL) industry in Brazil which, facing a highly competitive scenario, offers its clients a broad range of services and information technologies in pursuit of higher levels of efficiency. Its main objective is to determine the variables that significantly impact on the 3PL scale efficiency by means of a two-stage Data Envelopment Analysis (DEA). Data (2001-2008) from the annual survey developed by Revista Tecnologística were used in an unbalanced panel data model. The inputs and outputs required for this analysis were identified as well as the contextual variables that may impact on the 3PL scale efficiency. The results corroborate the evidence in the literature on the role of coordination processes in the logistics performance.

Keywords

DEA. 3PL. Scale efficiency. Data panel.

References



BANKER, R. D. Maximum likelihood, consistency and DEA: a statistical foundation. Management Science, v. 39, n. 10, p. 1265-1273, 1993.

BANKER, R. D.; CHARNES, A.; COOPER, W. W. Some models for the estimation of technical and scale inefficiencies in data envelopment analysis. Management Science, v. 30, n. 9, p. 1078-1092, 1984.

BANKER, R. D.; NATARAJAN, R. Evaluating contextual variables affecting productivity using data envelopment analysis. Operations Research, v. 56, n. 1, p. 48-58, 2008.

BANKER, R. D.; NATARAJAN, R. Statistical tests based on DEA efficiency scores. In: COOPER, W. W.; SEIFORD, L. M.; ZHU, J. (Eds.). Handbook on data envelopment analysis. Boston: Kluwer International Series, 2004. p. 299-321.

BATHNAGAR, R.; SOHAL, A. S.; MILLEN, R. Third party logistics services: a Singapore perspective. International Journal of Physical Distribution & Logistics Management, v. 29, n. 9, p. 569-587, 1999.

CHARNES, A.; COOPER, W. W.; RHODES, E. Measuring efficiency of decision-making units. European Journal of Operational Research, v. 2, n. 6, p. 429-444, 1978.

CHOU, S.; CHANG, Y. The implementation factors that influence the ERP (enterprise resource planning) benefits. Decision Support Systems, v. 46, n. 1, p. 149-157, 2008.

COOK, W. D.; SEIFORD, L. M. Data envelopment analysis (DEA): thirty years on. European Journal of Operational Research, v. 192, n. 1, p. 1-17, 2009.

COOPER, W. W.; SEIFORD, L. M.; TONE, K. Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. New York: Springer, 2007.

DULÁ, J. H.; HELGASON, R. V. A new procedure for identifying the frame of the convex hull of a finite collection of points in multidimensional space. European Journal of Operational Research, v. 92, n. 2, p. 352-367, 1996.

FIGUEIREDO, K. F.; MORA, D. M. A segmentação dos operadores logísticos no mercado brasileiro de acordo com suas capacitações para oferecer serviços. RAC-Eletrônica, v. 3, n. 1, p. 123-141, 2009.

FLEURY, P. F. Vantagens competitivas e estratégicas do uso de operadores logísticos. In: FLEURY, P. F.; WANKE, P.; FIGUEIREDO, K. F. Logística Empresarial: a perspectiva Brasileira. São Paulo: Atlas, 2000. p. 133-142.

FLEURY, P. F.; RIBEIRO, A. F. M. A indústria de provedores de serviços logísticos no Brasil. In: FIGUEIREDO, K. F.; FLEURY, P. F.; WANKE, P. Logística e gerenciamento da cadeia de suprimentos: planejamento do fluxo e dos recursos. São Paulo: Atlas, 2003. p. 302-312.

FRIED, H. O. et al. Accounting for environmental effects and statistical noise in data envelopment analysis. Journal of Productivity Analysis, v. 17, n. 1/2, p. 157-174, 2002.

GOLANY, B.; ROLL, Y. An application procedure for DEA. Omega, v. 17, n. 3, p. 237-250, 1989.

GOMES, E. G. et al. Efficiency and sustainability assessment for a group of farmers in the Brazilian Amazon. Annals of Operations Research, v. 69, n. 1, p. 167-182, 2009.

GREEN, R.; DOYLE, J.; COOK, W. D. Efficiency bounds in data envelopment analysis. European Journal of Operational Research, v. 89, n. 3, p. 482-490, 1996.

GREENE, W. H. LIMDEP version 9.0: econometric modeling guide. New York: Econometric Software, 2007.

HAMDAN, A.; ROGERS, K. J. Evaluating the efficiency of 3PL logistics operations. International Journal of Production Economics, v. 113, n. 1, p. 235-244, 2007.

LEVINE, D. M. et al. Estatística: teoria e aplicações. São Paulo: LTC, 2007.

LEWIN, A.; MOREY, R.; COOK, T. Evaluating the administrative efficiency of courts. Omega, v. 10, n. 4, p. 401-411, 1982.

LIEB, R. C. The 3PL industry: where it's been, where it's going. Supply Chain Management Review, v. 9, n. 6, p. 20-27, 2005.

LIEB, R. C.; LIEB, K. J. Why 3PLs need to build their brand? Supply Chain Management Review, v. 12, n. 8, p. 46-52, 2008.

LIN, L. C.; TSENG, C. C. Operational performance evaluation of major container ports in the Asia-Pacific region. Maritime Policy & Management, vol. 34, n. 6, p. 535-551, 2007.

LO, C. K. Y.; YEUNG, A. C. L.; CHENG, T. C. E. ISO 9000 and supply chain efficiency: empirical evidence on inventory and account receivable days. International Journal of Production Economics, v. 118, n. 2, p. 367-374, 2009.

MARINO, S. Mercado promissor. Revista Tecnologística, v. 19, n. 151, p. 68-73, 2008.

MASON, S. J. et al. Integrating the warehousing and transportation functions of the supply chain. Transportation Research Part E - Logistics & Transportation Review, v. 39E, n. 2, p. 141-159, 2003.

MENTZER, J. T.; FLINT, D. J. Validity in logistics research. Journal of Business Logistics, v. 18, n. 1, p. 199-216, 1997.

MIN, H.; JOO, S. J. Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis. Supply Chain Management: An International Journal, v. 11, n. 3, p. 259-265, 2006.

MIN, H.; PARK, B. I. Evaluating the inter-temporal efficiency trends of international container terminals using data envelopment analysis. International Journal of Integrated Supply Management, v. 1, n. 3, p. 258-277, 2005.

NG, B.; FERRIN, B. G.; PEARSON, J. N. The role of purchasing/transportation in cycle time reduction. International Journal of Operations & Production Management, v. 17, n. 6, p. 574-591, 1997.

ODECK, J.; ALKADI, A. Evaluating efficiency in the Norwegian bus industry using data envelopment analysis. Transportation, v. 28, n. 3, p. 211-232, 2001.

PACHECO, R. R.; FERNANDES, E. Managerial efficiency of Brazilian airports. Transportation Research Part A, v. 37, n. 8, p. 667-680, 2003.

PANAYIDES, P. M. et al. A critical analysis of DEA applications to seaport economic efficiency measurement. Transport Reviews, v. 29, n. 2, p. 183-206, 2009.

PARK, H. M. Linear regression models for panel data using SAS, Stata, LIMDEP, and SPSS. Disponível em: . Acesso em: 15 abr. 2005.

ROSS, A. D.; DROGE, C. An analysis of operations efficiency in large-scale distribution systems. Journal of Operations Management, v. 21, n. 6, p. 673-688, 2004.

SCHEFCZYK, M. Operational performance of airlines: an extension of traditional measurement paradigms. Strategic Management Journal, v. 14, n. 4, p. 301-317, 1993.

SIMAR, L.; WILSON, P. W. Estimation and inference in two-stage, semiparametric models of production processes. Journal of Econometrics, v. 136, n. 1, p. 31-64, 2007.

SOUZA, G. S. et al. Economic efficiency of Embrapa`s research centers and the influence of contextual variables. Pesquisa Operacional, v. 27, p. 15-26, 2007.

SOUZA, G. S.; STAUB, R. B. Two-stage inference using data envelopment analysis efficiency measurements in univariate production models. International Transactions in Operational Research, v. 14, n. 3, p. 245-258, 2007.

STEFANSSON, G.; LUMSDEN, K. Performance issues of smart transportation management systems. International Journal of Productivity and Performance Management, v. 58, n. 1, p. 55-70, 2009.

TURNER, H.; WINDLE, R.; DRESSNER, M. North American containerport productivity: 1984-1997. Transportation Research Part E, v. 40, n. 4, p. 339-356, 2004.

UNIVERSIDADE FEDERAL DO RIO DE JANEIRO. Centro de Estudos em Logística - CEL. Panorama logístico CEL/COPPEAD: terceirização logística no Brasil. Rio de Janeiro: UFRJ, 2009.

WAGNER, J. M.; SHIMSHAK, D. G. Stepwise selection of variables in data envelopment analysis: procedures and managerial perspectives. European Journal of Operational Research, v. 180, n. 1, p. 57-67, 2007.

WANG, T. F.; SONG, D. W.; CULLINANE, K. The applicability of data envelopment analysis to efficiency measurement of container ports. Cidade do Panamá: IAME, 2002.

WANKE, P. F. Logística, gerenciamento de cadeias de suprimento e estratégia logística. In: FIGUEIREDO, K. F.; FLEURY, P. F.; WANKE, P. Logística e gerenciamento da cadeia de suprimentos: planejamento do fluxo e dos recursos. São Paulo: Atlas, 2003. p. 27-47.

WANKE, P. F.; ARKADER, R.; HIJJAR, M. F. Logistics sophistication, manufacturing segments and the choice of logistics providers. International Journal of Operations & Production Management, v. 27, n. 5, p. 542-559, 2007.

WANKE, P. F.; HIJJAR, M. F. Exportadores brasileiros: estudo exploratório das percepções sobre a qualidade da infraestrutura logística. Produção, v. 19, n. 1, p. 143-162, 2009.

WILDING, R.; JURIADO, R. Customer perceptions on logistics outsourcing in the European consumer goods industry. International Journal of Physical Distribution & Logistics Management, v. 34, n. 8, p. 28-48, 2004.

YOUNGBERG, E.; OLSEN, D.; HAUSER, K. Determinants of professionally autonomous end user acceptance in an enterprise resource planning system environment. International Journal of Information Management, v. 29, n. 2, p. 138-144, 2009.

ZHOU, G. et al. Evaluating the comparative efficiency of Chinese third-party logistics providers using data envelopment analysis. International Journal of Physical Distribution & Logistics Management, v. 38, n. 4, p. 262-279, 2008.

ZHU, J. Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets and DEA excel solver. New York: Springer, 2003.

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