IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v43y2022i7p3044-3058.html

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

Author

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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3580
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.3580?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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 Scientific Publishing, vol. 16(3), pages 78-93, July.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Roberto Aringhieri & Patrick Hirsch & Marion S. Rauner & Melanie Reuter-Oppermanns & Margit Sommersguter-Reichmann, 2022. "Central European journal of operations research (CJOR) “operations research applied to health services (ORAHS) in Europe: general trends and ORAHS 2020 conference in Vienna, Austria”," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(1), pages 1-18, March.
    2. Yash Daultani & Ashish Dwivedi & Saurabh Pratap, 2021. "Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 773-789, December.
    3. Svetlana V. Begicheva & Elena G. Kalabina & Dmitry M. Nazarov, 2025. "Comparative Analysis of Municipal Healthcare Efficiency Using the DEA Method: The Case of Sverdlovsk Region," Journal of Applied Economic Research, Graduate School of Economics and Management, Ural Federal University, vol. 24(2), pages 491-527.
    4. Chen, Kuan-Chen & Lin, Sun-Yuan & Yu, Ming-Miin, 2022. "Exploring the efficiency of hospital and pharmacy utilizations in Taiwan: An application of dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Ane Elixabete Ripoll-Zarraga & José Luis Franco Miguel & Carmen Fullana Belda, 2025. "Visualisation of Data Envelopment Analysis in primary health services," Health Care Management Science, Springer, vol. 28(2), pages 207-233, June.
    6. Ricardo Ocaña-Riola & Carmen Pérez-Romero & Mª Isabel Ortega-Díaz & José Jesús Martín-Martín, 2021. "Multilevel Zero-One Inflated Beta Regression Model for the Analysis of the Relationship between Exogenous Health Variables and Technical Efficiency in the Spanish National Health System Hospitals," IJERPH, MDPI, vol. 18(19), pages 1-18, September.
    7. Dinesh R. Pai & Fatma Pakdil & Nasibeh Azadeh-Fard, 2024. "Applications of data envelopment analysis in acute care hospitals: a systematic literature review, 1984–2022," Health Care Management Science, Springer, vol. 27(2), pages 284-312, June.
    8. Zhishuo Zhang & Yao Xiao & Huayong Niu, 2022. "DEA and Machine Learning for Performance Prediction," Mathematics, MDPI, vol. 10(10), pages 1-23, May.
    9. Minh-Hieu Le & Wen-Min Lu, 2024. "An integrated multiple objective decision making approach for exploring the competitiveness of pharmaceutical multinational enterprises," Annals of Operations Research, Springer, vol. 341(1), pages 401-426, October.
    10. Pettas, Nikolaos & Giannikos, Ioannis, 2014. "Evaluating the delivery performance of public spending programs from an efficiency perspective," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 140-150.
    11. Aleksandar Medarević & Dejana Vuković, 2021. "Efficiency and Productivity of Public Hospitals in Serbia Using DEA-Malmquist Model and Tobit Regression Model, 2015–2019," IJERPH, MDPI, vol. 18(23), pages 1-22, November.
    12. Roslah Arsad & Zaidi Isa, 2024. "Evaluating Company Efficiency in Malaysian Stock Markets: Insights from DEA and Super Efficiency Models," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 4707-4718, August.
    13. Wang, Zihan & Li, Jiaxin & Liu, Jing & Shuai, Chuanmin, 2020. "Is the photovoltaic poverty alleviation project the best way for the poor to escape poverty? ——A DEA and GRA analysis of different projects in rural China," Energy Policy, Elsevier, vol. 137(C).
    14. Bao Hoang Nguyen & Valentin Zelenyuk, 2020. "Robust efficiency analysis of public hospitals in Queensland, Australia," CEPA Working Papers Series WP052020, School of Economics, University of Queensland, Australia.
    15. Youssef Er-Rays & Meriem M'dioud, 2024. "Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa," Papers 2402.14939, arXiv.org.
    16. Aparicio, Juan & Santín, Daniel, 2026. "The standard total factor productivity index and its decomposition," European Journal of Operational Research, Elsevier, vol. 329(3), pages 981-1003.
    17. Pourmahmoud, Jafar & Bagheri, Narges, 2023. "Uncertain Malmquist productivity index: An application to evaluate healthcare systems during COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    18. Puertas, Rosa & Guaita-Martinez, José M. & Carracedo, Patricia & Ribeiro-Soriano, Domingo, 2022. "Analysis of European environmental policies: Improving decision making through eco-efficiency," Technology in Society, Elsevier, vol. 70(C).
    19. Justyna Kujawska, 2021. "Health System Efficiency in European Countries: Network Data Envelopment Analysis Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(2 - Part ), pages 1095-1117.
    20. Borzée, Joke & Cardoen, Brecht & Cherchye, Laurens & De Rock, Bram & Roodhooft, Filip, 2025. "Linking outcomes to costs: A unified measure to advance value-based healthcare," Omega, Elsevier, vol. 133(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:43:y:2022:i:7:p:3044-3058. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.