IDEAS home Printed from https://ideas.repec.org/a/spr/opsear/v61y2024i4d10.1007_s12597-023-00725-1.html
   My bibliography  Save this article

Introducing an integrated method for assessing supply chain sustainability based on HF-ARAS and IT2F-BWM

Author

Listed:
  • Mina Alvandi Ghiasvand

    (Islamic Azad University)

  • Mehran khalaj

    (Islamic Azad University)

  • Amir Hossein Kamali Dolatabadi

    (Islamic Azad University)

Abstract

Among the problems human beings are facing today is improper production of waste including paper and plastic in the environment which along with wasting national net worth and import costs, causes the loss of natural and irreparable damage to the environment. On the other hand, research indicates that little is known about supply chain sustainability management in the paper recycling industry. The purpose of this paper is to create a framework for evaluating the sustainability of supply chains in recycling industries such as paper and cardboard. Supply chain sustainability is explored from three perspectives: economic, social, and environmental. Multi-criteria decision-making (MCDM) methods have been applied to achieve this goal. The first step was to develop effective criteria for evaluating the performance of sustainable supply chains in recycling industries based on previous studies and expert data. In the subsequent process, the indicators are scored using the Likert scale and the factors are reduced to 13 by factor analysis. After that, we weighted 13 selected criteria based on the combined method of interval type-2 fuzzy best–worst method (IT2F-BWM), and finally, using the hesitancy fuzzy (HF) and Additive Ratio Assessment (ARAS) methods, we ranked four suppliers and selected the best supplier in accordance with stability criteria. In the light of the obtained results, among the 13 criteria, innovation and green development are the most important sub-criteria. In light of the fact that nonstandard recycling of waste paper directly impacts the economy and the environment. In this study, the criteria ranking was performed using the combined method hesitancy fuzzy—Additive Ratio Assessment (HF-ARAS) to express the degree of uncertainty in the data. Innovation and green development were the sub-criteria selected by the experts.

Suggested Citation

  • Mina Alvandi Ghiasvand & Mehran khalaj & Amir Hossein Kamali Dolatabadi, 2024. "Introducing an integrated method for assessing supply chain sustainability based on HF-ARAS and IT2F-BWM," OPSEARCH, Springer;Operational Research Society of India, vol. 61(4), pages 1713-1763, December.
    • Handle: RePEc:spr:opsear:v:61:y:2024:i:4:d:10.1007_s12597-023-00725-1
    DOI: 10.1007/s12597-023-00725-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12597-023-00725-1
    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/s12597-023-00725-1?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. Sureeyatanapas, Panitas & Sriwattananusart, Kawinpob & Niyamosoth, Thanawath & Sessomboon, Weerapat & Arunyanart, Sirawadee, 2018. "Supplier selection towards uncertain and unavailable information: An extension of TOPSIS method," Operations Research Perspectives, Elsevier, vol. 5(C), pages 69-79.
    2. Maghsoud Amiri & Mohammad Hashemi-Tabatabaei & Mohammad Ghahremanloo & Mehdi Keshavarz-Ghorabaee & Edmundas Kazimieras Zavadskas & Arturas Kaklauskas, 2021. "Evaluating Life Cycle of Buildings Using an Integrated Approach Based on Quantitative-Qualitative and Simplified Best-Worst Methods (QQM-SBWM)," Sustainability, MDPI, vol. 13(8), pages 1-28, April.
    3. Sudhanshu Joshi & Manu Sharma & Banu Y. Ekren & Yigit Kazancoglu & Sunil Luthra & Mukesh Prasad, 2023. "Assessing Supply Chain Innovations for Building Resilient Food Supply Chains: An Emerging Economy Perspective," Sustainability, MDPI, vol. 15(6), pages 1-21, March.
    4. Jiancheng Tu & Zhibin Wu & Jiuping Xu, 2023. "Geometric consistency index for interval pairwise comparison matrices," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(5), pages 1229-1241, May.
    5. Rebeca B. Sánchez-Flores & Samantha E. Cruz-Sotelo & Sara Ojeda-Benitez & Ma. Elizabeth Ramírez-Barreto, 2020. "Sustainable Supply Chain Management—A Literature Review on Emerging Economies," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    6. Fu, Yan-Kai, 2019. "An integrated approach to catering supplier selection using AHP-ARAS-MCGP methodology," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 164-169.
    7. Sarah Yini Gao & David Simchi-Levi & Chung-Piaw Teo & Zhenzhen Yan, 2019. "Disruption Risk Mitigation in Supply Chains: The Risk Exposure Index Revisited," Operations Research, INFORMS, vol. 67(3), pages 831-852, May.
    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. Pablo Pérez-Gosende & Josefa Mula & Manuel Díaz-Madroñero, 2020. "Overview of Dynamic Facility Layout Planning as a Sustainability Strategy," Sustainability, MDPI, vol. 12(19), pages 1-16, October.
    2. Mohamed Abdel-Basset & Weiping Ding & Rehab Mohamed & Noura Metawa, 2020. "An integrated plithogenic MCDM approach for financial performance evaluation of manufacturing industries," Risk Management, Palgrave Macmillan, vol. 22(3), pages 192-218, September.
    3. Najafi, Mehdi & Zolfagharinia, Hossein, 2024. "A Multi-objective integrated approach to address sustainability in a meat supply chain," Omega, Elsevier, vol. 124(C).
    4. Maureen S. Golan & Laura H. Jernegan & Igor Linkov, 2020. "Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic," Environment Systems and Decisions, Springer, vol. 40(2), pages 222-243, June.
    5. Ehsan Shekarian & Behrang Ijadi & Amirreza Zare & Jukka Majava, 2022. "Sustainable Supply Chain Management: A Comprehensive Systematic Review of Industrial Practices," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    6. Seyed Morteza Hatefi & Hamideh Asadi & Gholamreza Shams & Jolanta Tamošaitienė & Zenonas Turskis, 2021. "Model for the Sustainable Material Selection by Applying Integrated Dempster-Shafer Evidence Theory and Additive Ratio Assessment (ARAS) Method," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    7. Qiang Wei & Xinyu Gou & Baiyang Zhang, 2024. "Urban Sharing Logistics Strategies against Epidemic Outbreaks: Its Feasibility and Sustainability," Sustainability, MDPI, vol. 16(17), pages 1-29, September.
    8. Maria Giuffrida & Riccardo Mangiaracina, 2020. "Green Practices for Global Supply Chains in Diverse Industrial, Geographical, and Technological Settings: A Literature Review and Research Agenda," Sustainability, MDPI, vol. 12(23), pages 1-18, December.
    9. Roy Setiawan & Rabia Salman & Bari Galimovich Khairov & Valeriy Vasilyevich Karpov & Svetlana Dmitrievna Danshina & Lidia Vladimirovna Vasyutkina & Natalia Alekseevna Prodanova & Viacheslav Zhenzhebir, 2021. "Sustainable Closed-Loop Mask Supply Chain Network Design Using Mathematical Modeling and a Fuzzy Multi-Objective Approach," Sustainability, MDPI, vol. 13(10), pages 1-12, May.
    10. Raut, Rakesh D. & Gardas, Bhaskar B. & Narwane, Vaibhav S. & Narkhede, Balkrishna E., 2019. "Improvement in the food losses in fruits and vegetable supply chain - a perspective of cold third-party logistics approach," Operations Research Perspectives, Elsevier, vol. 6(C).
    11. Francesco Ciardiello & Andrea Genovese, 2023. "A comparison between TOPSIS and SAW methods," Annals of Operations Research, Springer, vol. 325(2), pages 967-994, June.
    12. Seyedmohsen Hosseini & Dmitry Ivanov, 2022. "A new resilience measure for supply networks with the ripple effect considerations: a Bayesian network approach," Annals of Operations Research, Springer, vol. 319(1), pages 581-607, December.
    13. Tygran Dzhuguryan & Agnieszka Deja, 2021. "Sustainable Waste Management for a City Multifloor Manufacturing Cluster: A Framework for Designing a Smart Supply Chain," Sustainability, MDPI, vol. 13(3), pages 1-25, February.
    14. Heira Georgina Valdez Bocanegra, 2024. "Supply Chain Management and Innovation Practices as Core Strategies for Business Competitiveness and Performance," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(4), pages 1-3.
    15. Manel Elmsalmi & Wafik Hachicha & Awad M. Aljuaid, 2021. "Prioritization of the Best Sustainable Supply Chain Risk Management Practices Using a Structural Analysis Based-Approach," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    16. Rafael Ninno Muniz & Carlos Tavares da Costa Júnior & William Gouvêa Buratto & Ademir Nied & Gabriel Villarrubia González, 2023. "The Sustainability Concept: A Review Focusing on Energy," Sustainability, MDPI, vol. 15(19), pages 1-22, September.
    17. Büyüközkan, Gülçin & Havle, Celal Alpay & Feyzioğlu, Orhan, 2021. "Digital competency evaluation of low-cost airlines using an integrated IVIF AHP and IVIF VIKOR methodology," Journal of Air Transport Management, Elsevier, vol. 91(C).
    18. Zhongchao Dong & Haiou Du, 2024. "RETRACTED ARTICLE: Investing energy transition future: a comprehensive assessment of financial and non-financial factors that affect access to capital," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-25, June.
    19. Kang, Daekook & Devi, S. Aicevarya & Felix, Augustin & Narayanamoorthy, Samayan & Kalaiselvan, Samayan & Balaenu, Dumitru & Ahmadian, Ali, 2022. "Intuitionistic fuzzy MAUT-BW Delphi method for medication service robot selection during COVID-19," Operations Research Perspectives, Elsevier, vol. 9(C).
    20. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(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:opsear:v:61:y:2024:i:4:d:10.1007_s12597-023-00725-1. 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.