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Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method

Author

Listed:
  • Zhi Wen

    (Business School, Sichuan University, Chengdu 610064, China)

  • Huchang Liao

    (Business School, Sichuan University, Chengdu 610064, China
    Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI), University of Granada, 18071 Granada, Spain)

  • Ruxue Ren

    (Business School, Sichuan University, Chengdu 610064, China)

  • Chunguang Bai

    (School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 610054, China)

  • Edmundas Kazimieras Zavadskas

    (Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

  • Jurgita Antucheviciene

    (Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania)

  • Abdullah Al-Barakati

    (Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.

Suggested Citation

  • Zhi Wen & Huchang Liao & Ruxue Ren & Chunguang Bai & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Abdullah Al-Barakati, 2019. "Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method," IJERPH, MDPI, vol. 16(23), pages 1-21, December.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4843-:d:293130
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    References listed on IDEAS

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    1. Chatterjee, S. & Pandey, K. G., 2003. "Thermoelectric cold-chain chests for storing/transporting vaccines in remote regions," Applied Energy, Elsevier, vol. 76(4), pages 415-433, December.
    2. Abbas Mardani & Ahmad Jusoh & Edmundas Kazimieras Zavadskas & Zainab Khalifah & Khalil MD Nor, 2015. "Application of multiple-criteria decision-making techniques and approaches to evaluating of service quality: a systematic review of the literature," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(5), pages 1034-1068, October.
    3. Xiaobing Yu & Hong Chen & Zhonghui Ji, 2019. "Combination of Probabilistic Linguistic Term Sets and PROMETHEE to Evaluate Meteorological Disaster Risk: Case Study of Southeastern China," Sustainability, MDPI, vol. 11(5), pages 1-13, March.
    4. Yan Song & Shuang Yao & Donghua Yu & Yan Shen, 2017. "Risky multi-criteria group decision making on green capacity investment projects based on supply chain," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(3), pages 355-372, May.
    5. Abdolreza Yazdani-Chamzini & Mohammad Majid Fouladgar & Edmundas Kazimieras Zavadskas & S. Hamzeh Haji Moini, 2013. "Selecting the optimal renewable energy using multi criteria decision making," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 14(5), pages 957-978, November.
    6. Athena Forghani & Seyed Jafar Sadjadi & Babak Farhang Moghadam, 2018. "A supplier selection model in pharmaceutical supply chain using PCA, Z-TOPSIS and MILP: A case study," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    7. Violeta Keršulienė & Zenonas Turskis, 2014. "A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(2), pages 232-252, April.
    8. Morteza Yazdani & Pascale Zaraté & Edmundas Kazimieras Zavadskas & Zenonas Turskis, 2019. "A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems," Post-Print hal-02879091, HAL.
    9. Wu, Xingli & Liao, Huchang, 2019. "A consensus-based probabilistic linguistic gained and lost dominance score method," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1017-1027.
    10. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
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