IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v328y2023i1d10.1007_s10479-022-04529-2.html
   My bibliography  Save this article

Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach

Author

Listed:
  • Dragan Pamucar

    (University of Defence in Belgrade)

  • Ali Ebadi Torkayesh

    (RWTH Aachen University)

  • Sanjib Biswas

    (Calcutta Business School)

Abstract

Due to the high necessity of medical face masks and face shields during the COVID-19 pandemic, healthcare centers dealing with infected patients have faced serious challenges due to the high consumption rate face masks and face shields. In this regard, the supply chain of healthcare centers should put all of their efforts into avoiding any shortages of masks and shields as these products are considered as primary ways to prevent the spread of the virus. Since, any shortages in these products would lead to irrecoverable and costly consequences in terms of the mortality rate of patients and medical staff. Therefore, healthcare centers should decide on best supplier to supply required products, considering technical, and sustainability measures. Dynamicity and uncertainty of the pandemic are other factors that add up to the complexity of the supplier selection problem. Therefore, this paper develops a novel decision-making approach using Measuring attractiveness through a categorical-based evaluation technique (MACBETH) and a new combinative distance-based assessment method to address the supplier selection problem during the COVID-19 pandemic. Due to high uncertainty, vague and incomplete information for decision-making problems during the COVID-19 pandemic, the developed decision-making approach is implemented under fuzzy rough numbers as a superior uncertainty set of the traditional fuzzy set and rough numbers. Extensive sensitivity analysis tests are performed based on parameters of the decision-making approach, impacts of weight coefficients, and consistency of results in comparison to other MCDM methods. A real-life case study is investigated for a hospital in Istanbul, Turkey to show the applicability of the developed approach. Based on the results of MACBETH method, job creation and occupational health and safety systems are two top criteria. Results of the case study for five suppliers indicate that supplier (A1) is the best supplier with a distance score of 3.308.

Suggested Citation

  • Dragan Pamucar & Ali Ebadi Torkayesh & Sanjib Biswas, 2023. "Supplier selection in healthcare supply chain management during the COVID-19 pandemic: a novel fuzzy rough decision-making approach," Annals of Operations Research, Springer, vol. 328(1), pages 977-1019, September.
    • Handle: RePEc:spr:annopr:v:328:y:2023:i:1:d:10.1007_s10479-022-04529-2
    DOI: 10.1007/s10479-022-04529-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-022-04529-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10479-022-04529-2?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Mei, Mei & Chen, Zhihua, 2021. "Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA," Renewable Energy, Elsevier, vol. 165(P1), pages 716-730.
    2. Alipour, M. & Hafezi, R. & Rani, Pratibha & Hafezi, Mehdi & Mardani, Abbas, 2021. "A new Pythagorean fuzzy-based decision-making method through entropy measure for fuel cell and hydrogen components supplier selection," Energy, Elsevier, vol. 234(C).
    3. Mohammed, Ahmed & Harris, Irina & Govindan, Kannan, 2019. "A hybrid MCDM-FMOO approach for sustainable supplier selection and order allocation," International Journal of Production Economics, Elsevier, vol. 217(C), pages 171-184.
    4. Mehdi KESHAVARZ GHORABAEE & Edmundas Kazimieras ZAVADSKAS & Zenonas TURSKIS & Jurgita ANTUCHEVICIENE, 2016. "A New Combinative Distance-Based Assessment(Codas) Method For Multi-Criteria Decision-Making," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(3), pages 25-44.
    5. Sahitya Elluru & Hardik Gupta & Harpreet Kaur & Surya Prakash Singh, 2019. "Proactive and reactive models for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 199-224, December.
    6. Miomir Stanković & Željko Stević & Dillip Kumar Das & Marko Subotić & Dragan Pamučar, 2020. "A New Fuzzy MARCOS Method for Road Traffic Risk Analysis," Mathematics, MDPI, vol. 8(3), pages 1-18, March.
    7. Bana e Costa, Carlos A. & Chagas, Manuel P., 2004. "A career choice problem: An example of how to use MACBETH to build a quantitative value model based on qualitative value judgments," European Journal of Operational Research, Elsevier, vol. 153(2), pages 323-331, March.
    8. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    9. Hui Gao & Linggang Ran & Guiwu Wei & Cun Wei & Jiang Wu, 2020. "VIKOR Method for MAGDM Based on Q-Rung Interval-Valued Orthopair Fuzzy Information and Its Application to Supplier Selection of Medical Consumption Products," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    10. Thalles Vitelli Garcez & Helder Tenório Cavalcanti & Adiel Teixeira de Almeida, 2021. "A hybrid decision support model using Grey Relational Analysis and the Additive-Veto Model for solving multicriteria decision-making problems: an approach to supplier selection," Annals of Operations Research, Springer, vol. 304(1), pages 199-231, September.
    11. Jagannath Roy & Dragan Pamučar & Samarjit Kar, 2020. "Evaluation and selection of third party logistics provider under sustainability perspectives: an interval valued fuzzy-rough approach," Annals of Operations Research, Springer, vol. 293(2), pages 669-714, October.
    12. Guiwu Wei & Cun Wei & Jiang Wu & Hongjun Wang, 2019. "Supplier Selection of Medical Consumption Products with a Probabilistic Linguistic MABAC Method," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    13. Shufan Zhu & Kefan Xie & Ping Gui, 2021. "Dynamic Adjustment Mechanism and Differential Game Model Construction of Mask Emergency Supply Chain Cooperation Based on COVID-19 Outbreak," Sustainability, MDPI, vol. 13(3), pages 1-24, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hu, Shaolong & Dong, Zhijie Sasha & Dai, Rui, 2024. "A machine learning based sample average approximation for supplier selection with option contract in humanitarian relief," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    2. Mohammad Hashemi-Tabatabaei & Maghsoud Amiri & Mehdi Keshavarz-Ghorabaee, 2024. "Gresilient Supplier Evaluation and Selection under Uncertainty Using a Novel Streamlined Full Consistency Method," Logistics, MDPI, vol. 8(3), pages 1-39, September.
    3. Jian-Peng Chang & Heng-Xin Ren & Luis Martínez & Witold Pedrycz & Zhen-Song Chen, 2024. "Requirement-driven supplier selection: a multi-criteria QFD-based approach under epistemic and stochastic uncertainties," Annals of Operations Research, Springer, vol. 342(2), pages 1079-1128, November.

    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. Anas A. Makki & Reda M. S. Abdulaal, 2023. "A Hybrid MCDM Approach Based on Fuzzy MEREC-G and Fuzzy RATMI," Mathematics, MDPI, vol. 11(17), pages 1-19, September.
    2. Hsu-Shih Shih, 2016. "A Mixed-Data Evaluation in Group TOPSIS with Differentiated Decision Power," Group Decision and Negotiation, Springer, vol. 25(3), pages 537-565, May.
    3. María Carmen Carnero & Andrés Gómez, 2019. "Optimization of Decision Making in the Supply of Medicinal Gases Used in Health Care," Sustainability, MDPI, vol. 11(10), pages 1-31, May.
    4. María Carmen Carnero, 2020. "Fuzzy Multicriteria Models for Decision Making in Gamification," Mathematics, MDPI, vol. 8(5), pages 1-23, May.
    5. Liangping Wu & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Some Interval-Valued Intuitionistic Fuzzy Dombi Heronian Mean Operators and their Application for Evaluating the Ecological Value of Forest Ecological Tourism Demonstration Areas," IJERPH, MDPI, vol. 17(3), pages 1-31, January.
    6. Kokkinos, Konstantinos & Nathanail, Eftihia & Gerogiannis, Vassilis & Moustakas, Konstantinos & Karayannis, Vayos, 2022. "Hydrogen storage station location selection in sustainable freight transportation via intuitionistic hesitant decision support system," Energy, Elsevier, vol. 260(C).
    7. Shoufeng Ji & Pengyun Zhao & Tingting Ji, 2023. "A Hybrid Optimization Method for Sustainable and Flexible Design of Supply–Production–Distribution Network in the Physical Internet," Sustainability, MDPI, vol. 15(7), pages 1-34, April.
    8. Ananna Paul & Nagesh Shukla & Sanjoy Kumar Paul & Andrea Trianni, 2021. "Sustainable Supply Chain Management and Multi-Criteria Decision-Making Methods: A Systematic Review," Sustainability, MDPI, vol. 13(13), pages 1-28, June.
    9. Paul, Manashi & Negahban-Azar, Masoud & Shirmohammadi, Adel & Montas, Hubert, 2020. "Assessment of agricultural land suitability for irrigation with reclaimed water using geospatial multi-criteria decision analysis," Agricultural Water Management, Elsevier, vol. 231(C).
    10. Surendra Kansara & Sachin Modgil & Rupesh Kumar, 2023. "Structural transformation of fuzzy analytical hierarchy process: a relevant case for Covid-19," Operations Management Research, Springer, vol. 16(1), pages 450-465, March.
    11. Reig-Mullor, Javier & Garcia-Bernabeu, Ana & Pla-Santamaria, David & Salas-Molina, Francisco, 2024. "Measuring quality of life in Europe: A new fuzzy multicriteria approach," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    12. Snežana Tadić & Mladen Krstić & Milovan Kovač, 2023. "Assessment of city logistics initiative categories sustainability: case of Belgrade," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(2), pages 1383-1419, February.
    13. Büyüközkan, Gülçin & Havle, Celal Alpay & Feyzioğlu, Orhan, 2021. "An integrated SWOT based fuzzy AHP and fuzzy MARCOS methodology for digital transformation strategy analysis in airline industry," Journal of Air Transport Management, Elsevier, vol. 97(C).
    14. Jianping Lu & Tingting He & Guiwu Wei & Jiang Wu & Cun Wei, 2020. "Cumulative Prospect Theory: Performance Evaluation of Government Purchases of Home-Based Elderly-Care Services Using the Pythagorean 2-tuple Linguistic TODIM Method," IJERPH, MDPI, vol. 17(6), pages 1-21, March.
    15. M C Carnero, 2009. "Selection of condition monitoring techniques using discrete probability distributions: A case study," Journal of Risk and Reliability, , vol. 223(1), pages 99-117, March.
    16. María-José Verdecho & Faustino Alarcón-Valero & David Pérez-Perales & Juan-José Alfaro-Saiz & Raúl Rodríguez-Rodríguez, 2021. "A methodology to select suppliers to increase sustainability within supply chains," 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. 29(4), pages 1231-1251, December.
    17. Verónica Sansabas-Villalpando & Iván Juan Carlos Pérez-Olguín & Luis Asunción Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Luis Carlos Mendez-González, 2019. "CODAS HFLTS Method to Appraise Organizational Culture of Innovation and Complex Technological Changes Environments," Sustainability, MDPI, vol. 11(24), pages 1-28, December.
    18. Mladen Krstić & Giulio Paolo Agnusdei & Pier Paolo Miglietta & Snežana Tadić & Violeta Roso, 2022. "Applicability of Industry 4.0 Technologies in the Reverse Logistics: A Circular Economy Approach Based on COmprehensive Distance Based RAnking (COBRA) Method," Sustainability, MDPI, vol. 14(9), pages 1-30, May.
    19. Yazdani, Morteza & Torkayesh, Ali Ebadi & Chatterjee, Prasenjit & Fallahpour, Alireza & Montero-Simo, Maria Jose & Araque-Padilla, Rafael A. & Wong, Kuan Yew, 2022. "A fuzzy group decision-making model to measure resiliency in a food supply chain: A case study in Spain," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    20. Yang, Chih-Hao & Lee, Kuen-Chang, 2020. "Developing a strategy map for forensic accounting with fraud risk management: An integrated balanced scorecard-based decision model," Evaluation and Program Planning, Elsevier, vol. 80(C).

    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:spr:annopr:v:328:y:2023:i:1:d:10.1007_s10479-022-04529-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.