IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v43y2022i7p3044-3058.html
   My bibliography  Save this article

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. 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.
    2. 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.
    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. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. 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.
    2. 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).
    3. 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).
    4. 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).
    5. Amir Moradi-Motlagh & Ali Emrouznejad, 2022. "The origins and development of statistical approaches in non-parametric frontier models: a survey of the first two decades of scholarly literature (1998–2020)," Annals of Operations Research, Springer, vol. 318(1), pages 713-741, November.
    6. Kosycarz, Ewa & Dędys, Monika & Ekes, Maria & Wranik, Wiesława Dominika, 2023. "The effects of provider contract types and fiscal decentralization on the efficiency of the Polish hospital sector: A data envelopment analysis across 16 health regions," Health Policy, Elsevier, vol. 129(C).
    7. Matthias Klumpp & Dominic Loske & Silvio Bicciato, 2022. "COVID-19 health policy evaluation: integrating health and economic perspectives with a data envelopment analysis approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(8), pages 1263-1285, November.
    8. Färe, Rolf & Karagiannis, Giannis, 2022. "Aggregating Farrell efficiencies without value data: The case of hospitals," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    9. Duras, Toni & Javed, Farrukh & Månsson, Kristofer & Sjölander, Pär & Söderberg, Magnus, 2023. "Using machine learning to select variables in data envelopment analysis: Simulations and application using electricity distribution data," Energy Economics, Elsevier, vol. 120(C).
    10. Diogo Ferraz & Enzo Barberio Mariano & Patricia Regina Manzine & Herick Fernando Moralles & Paulo César Morceiro & Bruno Guimarães Torres & Mariana Rodrigues Almeida & João Carlos Soares de Mello & Da, 2021. "COVID Health Structure Index: The Vulnerability of Brazilian Microregions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(1), pages 197-215, November.
    11. Zarrin, Mansour & Brunner, Jens O., 2023. "Analyzing the accuracy of variable returns to scale data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1286-1301.
    12. Puertas, Rosa & Marti, Luisa & Guaita-Martinez, José M., 2020. "Innovation, lifestyle, policy and socioeconomic factors: An analysis of European quality of life," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. Youssef Er-Rays & Meriem M'dioud, 2024. "Evaluating the Financial Factors Influencing Maternal, Newborn, and Child Health in Africa," Papers 2402.14939, arXiv.org.
    19. Kshitish Kumar Mohanta & Deena Sunil Sharanappa & Vishnu Narayan Mishra, 2023. "Neutrosophic data envelopment analysis based on the possibilistic mean approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(2), pages 81-98.
    20. Samieinasab, Mina & Hamid, Mahdi & Rabbani, Masoud, 2022. "An integrated resilience engineering-lean management approach to performance assessment and improvement of clinical departments," Socio-Economic Planning Sciences, Elsevier, vol. 84(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.