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Evaluation of the operational efficiency of southeast intermodal terminals in the grain logistics chain using data envelopment analysis

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Listed:
  • Maria Gabriela Mendonça Peixoto
  • Maria Cristina Angélico Mendonça
  • Cleber Carvalho de Castro
  • Luiz Gonzaga de Castro Júnior
  • Gustavo Alves de Melo
  • Mário Otávio Batalha

Abstract

This paper aimed to investigate the performance of intermodal terminals located in Southeastern Brazil, verifying their efficiency levels in logistics operations of grain agricultural crop runoff, using data envelopment analysis (DEA). The results show only 25% of terminals with total and pure technical efficiency, which are able, therefore, to use their inputs efficiently, without incurring large losses. The inefficient ones only present pure technical efficiency, suggesting they are likely to present scale inefficiency of operations. The analysis of terminals has shown that a better operational productivity can be obtained in relation to the use of their structure and available resources.

Suggested Citation

  • Maria Gabriela Mendonça Peixoto & Maria Cristina Angélico Mendonça & Cleber Carvalho de Castro & Luiz Gonzaga de Castro Júnior & Gustavo Alves de Melo & Mário Otávio Batalha, 2022. "Evaluation of the operational efficiency of southeast intermodal terminals in the grain logistics chain using data envelopment analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 3044-3058, October.
    • Handle: RePEc:wly:mgtdec:v:43:y:2022:i:7:p:3044-3058
    DOI: 10.1002/mde.3580
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    References listed on IDEAS

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    1. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Santos, Alexandre Borges & Sproesser, Renato Luiz & Batalha, Mário Otávio, 2018. "Exploring strategic characteristics of intermodal grain terminals: Empirical evidence from Brazil," Journal of Transport Geography, Elsevier, vol. 66(C), pages 259-267.
    4. Habibov, Nazim N. & Fan, Lida, 2010. "Comparing and contrasting poverty reduction performance of social welfare programs across jurisdictions in Canada using Data Envelopment Analysis (DEA): An exploratory study of the era of devolution," Evaluation and Program Planning, Elsevier, vol. 33(4), pages 457-467, November.
    5. Ross Kingwell & Ryan Loxton & Elham Mardaneh, 2020. "Factors and scenarios affecting a farmer’s grain harvest logistics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(2), pages 244-265, April.
    6. Anderson, James L. & Asche, Frank & Garlock, Taryn, 2018. "Globalization and commoditization: The transformation of the seafood market," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 2-8.
    7. Fatemeh Sabouhi & Ali Bozorgi-Amiri & Mohammad Moshref-Javadi & Mehdi Heydari, 2019. "An integrated routing and scheduling model for evacuation and commodity distribution in large-scale disaster relief operations: a case study," Annals of Operations Research, Springer, vol. 283(1), pages 643-677, December.
    8. Yongtao Peng & Yaya Li & Meiling He, 2018. "Research on Optimization of Multi-Commodity Supply and Demand Logistics Network Based on Supernetwork," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 16(3), pages 78-93, July.
    9. Mahamaya Mohanty & Ravi Shankar, 2019. "A hierarchical analytical model for performance management of integrated logistics," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(2), pages 173-208, April.
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