IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i5p2046-d1349383.html
   My bibliography  Save this article

Sustainability-Driven Supplier Selection: Insights from Supplier Life Value and Z-Numbers

Author

Listed:
  • Mehran Tohidi

    (School of Industrial Engineering, Iran University of Science & Technology, Tehran 16846-13114, Iran)

  • Saeid Homayoun

    (Department of Business and Economics Studies, University of Gävle, 80176 Gävle, Sweden)

  • Ali RezaHoseini

    (School of Industrial Engineering, Iran University of Science & Technology, Tehran 16846-13114, Iran)

  • Razieh Ehsani

    (School of Computing and Information Science, Anglia Ruskin University, Cambridge CB1 1PT, UK)

  • Morteza Bagherpour

    (Department of Industrial Engineering, Antalya Bilim University, Antalya 07190, Turkey)

Abstract

In recent years, the strategic selection of the most suitable supplier within the supply chain has garnered increasing attention. Incorporating vital criteria like sustainable development further complicates this decision-making process. Companies and manufacturing facilities recognize the pivotal role of suppliers in their overall success and aim for mutually advantageous partnerships. Establishing long-term relationships with suppliers can yield benefits for both parties. However, supplier selection is intricate, often transpiring within an environment of limited information. Consequently, evaluating and selecting organizational suppliers necessitate methodologies yielding more dependable and pragmatic results due to the uncertainties inherent in expert judgments. This study introduces Supplier Life Cycle Value (SLV) criteria for extended partnerships with suppliers and sustainability metrics for selecting “industrial equipment suppliers”. The Hierarchical Best-Worst Method (HBWM) is then applied to determine Sustainable Supplier Life Value (SSLV) criteria weights. Subsequently, employing the PROMETHEE-GAIA approach, suppliers are systematically ranked and comprehensively analyzed. To account for the inherent uncertainty in expert judgments, this study incorporates fuzzy numbers enriched with probability and reliability parameters (Z-Numbers) by introducing novel verbal spectra for supplier evaluation. This facilitates more effective decision making in supplier management. The findings underscore the significance of considering the supplier’s longevity beyond economic metrics, emphasizing the importance of sustained supplier participation. Moreover, the varying outcomes across definite and fuzzy scenarios, accounting for reliability (Z-Numbers), underscore the impact of data uncertainty on decision making. Given that fuzzy numbers incorporating reliability (Z-Numbers) encompass the confidence probability within the unclear number, they offer a more robust and realistic representation of real-world scenarios.

Suggested Citation

  • Mehran Tohidi & Saeid Homayoun & Ali RezaHoseini & Razieh Ehsani & Morteza Bagherpour, 2024. "Sustainability-Driven Supplier Selection: Insights from Supplier Life Value and Z-Numbers," Sustainability, MDPI, vol. 16(5), pages 1-39, March.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:5:p:2046-:d:1349383
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/5/2046/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/5/2046/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Katrina Lintukangas & Jukka Hallikas & Anni‐Kaisa Kähkönen, 2015. "The Role of Green Supply Management in the Development of Sustainable Supply Chain," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(6), pages 321-333, November.
    2. Ho, William & Xu, Xiaowei & Dey, Prasanta K., 2010. "Multi-criteria decision making approaches for supplier evaluation and selection: A literature review," European Journal of Operational Research, Elsevier, vol. 202(1), pages 16-24, April.
    3. Jimenez, Mariano & Arenas, Mar & Bilbao, Amelia & Rodri'guez, M. Victoria, 2007. "Linear programming with fuzzy parameters: An interactive method resolution," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1599-1609, March.
    4. Ciliberti, Francesco & Pontrandolfo, Pierpaolo & Scozzi, Barbara, 2008. "Logistics social responsibility: Standard adoption and practices in Italian companies," International Journal of Production Economics, Elsevier, vol. 113(1), pages 88-106, May.
    5. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    6. Scott, James A. & Ho, William & Dey, Prasanta K., 2013. "Strategic sourcing in the UK bioenergy industry," International Journal of Production Economics, Elsevier, vol. 146(2), pages 478-490.
    7. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
    8. Bai, Chunguang & Sarkis, Joseph, 2010. "Integrating sustainability into supplier selection with grey system and rough set methodologies," International Journal of Production Economics, Elsevier, vol. 124(1), pages 252-264, March.
    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. Alptekin Ulutaş & Ayşe Topal & Dragan Pamučar & Željko Stević & Darjan Karabašević & Gabrijela Popović, 2022. "A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods," Sustainability, MDPI, vol. 14(24), pages 1-20, December.
    2. Scott, James & Ho, William & Dey, Prasanta K. & Talluri, Srinivas, 2015. "A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 226-237.
    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. Schöll, Michaela, 2017. "Three Essays on Sustainable Supply Chain Management – Towards Sustainable Supplier Selection and Sustainable Sourcing," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 172463, November.
    5. Chai, Junyi & Ngai, Eric W.T., 2015. "Multi-perspective strategic supplier selection in uncertain environments," International Journal of Production Economics, Elsevier, vol. 166(C), pages 215-225.
    6. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    7. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    8. Abdullah Yıldızbaşı & Cihat Öztürk & Deniz Efendioğlu & Serol Bulkan, 2021. "Assessing the social sustainable supply chain indicators using an integrated fuzzy multi-criteria decision-making methods: a case study of Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4285-4320, March.
    9. Hesam Shidpour & Mohsen Shidpour, 2025. "A quantitative study on the impact of corporate social responsibility on supplier selection and suppliers’ market share in the oil industry," Operational Research, Springer, vol. 25(1), pages 1-43, March.
    10. Ghuge, Sagar & Akarte, Milind, 2024. "Additive manufacturing service bureau selection: A Bayesian network integrated framework," International Journal of Production Economics, Elsevier, vol. 276(C).
    11. Chandra Prakash Garg & Archana Sharma, 2020. "Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1529-1557, February.
    12. Hassini, Elkafi & Surti, Chirag & Searcy, Cory, 2012. "A literature review and a case study of sustainable supply chains with a focus on metrics," International Journal of Production Economics, Elsevier, vol. 140(1), pages 69-82.
    13. Yuangao Chen & Shuo Wang & Jianrong Yao & Yixiao Li & Shuiqing Yang, 2018. "Socially responsible supplier selection and sustainable supply chain development: A combined approach of total interpretive structural modeling and fuzzy analytic network process," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1708-1719, December.
    14. Aly Owida & P.J. Byrne & Cathal Heavey & Paul Blake & Khaled S. El-Kilany, 2016. "A simulation based continuous improvement approach for manufacturing based field repair service contracting," International Journal of Production Research, Taylor & Francis Journals, vol. 54(21), pages 6458-6477, November.
    15. Wenwen Zhu & Zhiqiang Wang, 2018. "The Collaborative Networks and Thematic Trends of Research on Purchasing and Supply Management for Environmental Sustainability: A Bibliometric Review," Sustainability, MDPI, vol. 10(5), pages 1-28, May.
    16. Harpreet Kaur & Surya Prakash Singh, 2019. "Sustainable procurement and logistics for disaster resilient supply chain," Annals of Operations Research, Springer, vol. 283(1), pages 309-354, December.
    17. Sheila Mendes Fernandes & Antonio Cezar Bornia, 2019. "Reporting on supply chain sustainability: Measurement using item response theory," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 106-116, January.
    18. Jie Lu & Feng Li & Desheng Wu, 2024. "A Two-Stage Sustainable Supplier Selection Model Considering Disruption Risk," Sustainability, MDPI, vol. 16(9), pages 1-20, May.
    19. Caniato, Federico & Caridi, Maria & Crippa, Luca & Moretto, Antonella, 2012. "Environmental sustainability in fashion supply chains: An exploratory case based research," International Journal of Production Economics, Elsevier, vol. 135(2), pages 659-670.
    20. Sourour Aouadni & Jalel Euchi, 2022. "Using Integrated MMD-TOPSIS to Solve the Supplier Selection and Fair Order Allocation Problem: A Tunisian Case Study," Logistics, MDPI, vol. 6(1), pages 1-18, January.

    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:gam:jsusta:v:16:y:2024:i:5:p:2046-:d:1349383. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.