844
Views
25
CrossRef citations to date
0
Altmetric
Research Article

Modeling resilient supplier selection criteria in desalination supply chain based on fuzzy DEMATEL and ISM

ORCID Icon, ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 264-278 | Received 21 Apr 2020, Accepted 04 Aug 2021, Published online: 02 Sep 2021

References

  • Alimohammadlou, M., & Bonyani, A. (2018). An integrated fuzzy model for resilient supplier selection. International Journal of Supply Chain Management, 7(5), 35–52.
  • Amindoust, A. (2018). A resilient-sustainable based supplier selection model using a hybrid intelligent method. Computers & Industrial Engineering, 126, 122–135.
  • Azadeh, A., Soufi, H. R., Farahani, M. H., & Abdollahi, M. (2016). Green-resilient supplier selection: An integrated approach. International IEEE Conference Istanbul.
  • Babaeinesami, A., Tohidi, H., & Seyedaliakbar, S. M. (2021). Designing a data-driven leagile sustainable closed-loop supply chain network. International Journal of Management Science and Engineering Management, 16(1), 14–26.
  • Badi, I., Ballem, M., & Shetwan, A. (2018). Site selection of desalination plant in libya by using combinative distance-based assessment (Codas) method. International Journal for Quality Research, 12(3), 609–624.
  • Büyüközkan, G., & Çifçi, G. (2012). A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000–3011.
  • Chuang, H.-M., Lin, C.-K., Chen, D.-R., & Chen, Y.-S. (2013). Evolving MCDM applications using hybrid expert-based ISM and DEMATEL models: An example of sustainable ecotourism. The Scientific World Journal, 2013(2), 751728.
  • Costa, A., Govindan, K., & Figueira, J. R. (2018). Supplier classification in emerging economies using the ELECTRE TRI-nC method: A case study considering sustainability aspects. Journal of Cleaner Production, 201, 925–947.
  • Davoudabadi, R., Mousavi, S. M., Mohagheghi, V., & Vahdani, B. (2019). Resilient supplier selection through introducing a new interval-valued intuitionistic fuzzy evaluation and decision-making framework. Arabian Journal for Science and Engineering, 44(8), 7351–7360.
  • Fazlollahtabar, H. (2016). Integration between Fuzzy PROMETHEE and fuzzy linear program for supplier selection problem: Case study. Journal of Applied Mathematics and Computing, 1(1), 8.
  • Foroozesh, N., Tavakkoli-Moghaddam, R., Mousavi, S. M., & Vahdani, B. (2018). A new comprehensive possibilistic group decision approach for resilient supplier selection with mean–variance–skewness–kurtosis and asymmetric information under interval-valued fuzzy uncertainty. Neural Computing & Applications, 1, 1–21.
  • Gan, J., Zhong, S., Liu, S., & Yang, D. (2019). Resilient supplier selection based on fuzzy BWM and GMo-RTOPSIS under supply chain environment. Discrete Dynamics in Nature and Society, 2019, 1–14.
  • Glickman, T., & White, S. C. (2015). Security, visibility and resilience: The keys to mitigating supply chain vulnerabilities. The International Journal of Logistics Management, 2(2), 107.
  • Goyal, S., Routroy, S., & Singhal, A. (2019). Analyzing environment sustainability enablers using fuzzy DEMATEL for an Indian steel manufacturing company. Journal of Engineering Design and Technology, 17(2), 300–329.
  • Haldar, A., Ray, A., Banerjee, D., & Ghosh, S. (2012). A hybrid MCDM model for resilient supplier selection. International Journal of Management Science and Engineering Management, 7(4), 284–292.
  • Hanna, J., Skipper, J. B., & Hall, D. (2010). Mitigating supply chain disruption: The importance of top management support to collaboration and flexibility. International Journal of Logistics Systems and Management, 6(4), 397.
  • Hosseini, S., & Al Khaled, A. (2019). A hybrid ensemble and AHP approach for resilient supplier selection. Journal of Intelligent Manufacturing, 30(1), 207–228.
  • Hosseini, S., & Barker, K. (2016). A Bayesian network model for resilience-based supplier selection. International Journal of Production Economics, 180, 68–87.
  • Hosseini, S., Ivanov, D., & Dolgui, A. (2019). Review of quantitative methods for supply chain resilience analysis. Transportation Research Part E: Logistics and Transportation Review, 125, 285–307.
  • Jain, V., Sangaiah, A. K., Sakhuja, S., Thoduka, N., & Aggarwal, R. (2018). Supplier selection using fuzzy AHP and TOPSIS: A case study in the Indian automotive industry. Neural Computing and Applications, 29(7), 555–564.
  • Jiang, D., Hassan, M. M., Faiz, T. I., & Noor-E-Alam, M. (2018). A possibility distribution based multi-criteria decision algorithm for resilient supplier selection problems. Journal of Multi-Criteria Decision Analysis, 27(2), 1–35.
  • Kiani Mavi, R., & Standing, C. (2018). Critical success factors of sustainable project management in construction: A fuzzy DEMATEL-ANP approach. Journal of Cleaner Production, 194, 751–765.
  • Lam, J., & Bai, X. (2016). A quality function deployment approach to improve maritime supply chain resilience. Transportation Research Part E: Logistics and Transportation Review, 92, 16–27.
  • Lamba, K., & Singh, S. P. (2018). Modeling big data enablers for operations and supply chain management. The International Journal of Logistics Management, 29(2), 629–658.
  • Lee, A. (2009). A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks. Expert Systems with Applications, 36(2), 2879–2893.
  • Lin, R. J. (2013). Using fuzzy DEMATEL to evaluate the green supply chain management practices. Journal of Cleaner Production, 40, 32–39.
  • Luthra, S., Govindan, K., Kharb, R. K., & Mangla, S. K. (2016). Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: An Indian perspective. Renewable and Sustainable Energy Reviews, 63, 379–397.
  • Memon, M., Lee, Y. H., & Mari, S. I. (2015). Group multi-criteria supplier selection using combined grey systems theory and uncertainty theory. Expert Systems with Applications, 42(21), 7951–7959.
  • MERZİFONLUOĞLU UZGÖREN, Y. (2016). Risk averse decision models for resilient supplier selection. Hacettepe University Journal of Economics Administration Sciences, 34(2), 53–78.
  • Missimer, T., Sinha, S., & Ghaffour, N. (2017). Strategic aquifer storage and recovery of desalinated water to achieve water security in the GCC/MENA region. The International Journal of Environment and Sustainable, 1(3), 87–99.
  • Mohammed, A., Harris, I., Soroka, A., Mohamed, N., & Ramjaun, T. (2018). Evaluating green and resilient supplier performance: AHP-fuzzy topsis decision-making approach. ICORES, 1, 209–216.
  • Pettit, T. (2008). Supply chain resilience: Development of A conceptual framework, an assessment tool and an implementation process. California: The Ohio State University.
  • Ponomarov, S., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124–143.
  • Pramanik, D., Haldar, A., Mondal, S. C., Naskar, S. K., & Ray, A. (2017). Resilient supplier selection using AHP-TOPSIS-QFD under a fuzzy environment. International Journal of Management Science and Engineering Management, 12(1), 45–54.
  • Proag, V. (2014). Assessing and measuring resilience. Procedia Economics and Finance, 18, 222–229.
  • Rajesh, R., & Ravi, V. (2015). Supplier selection in resilient supply chains: A grey relational analysis approach. Journal of Cleaner Production, 86, 343–359.
  • Sahu, A., Datta, S., & Mahapatra, S. S. (2016). Evaluation and selection of resilient suppliers in fuzzy environment: Exploration of fuzzy-VIKOR. Benchmarking: An International Journal, 23(3), 651–673.
  • Sangari, M. S., & Abbasi, M. (2017, April). An integrated framework of enablers of strategic alignment in supply chain: A fuzzy DEMATEL approach. Second International Conference on Industrial Management, 1, 1–10.
  • Sawik, T. (2013). Selection of resilient supply portfolio under disruption risks. Omega, 41(2), 259–269.
  • Seker, S., & Zavadskas, E. K. (2017). Application of fuzzy DEMATEL method for analyzing occupational risks on construction sites. Sustainability, 9(11), 1–19.
  • Sen, D., Datta, S., & Mahapatra, S. S. (2016). A TODIM-based decision support framework for G-resilient supplier selection in fuzzy environment. Asia-Pacific Journal of Operational Research, 33(5), 1650033.
  • Thakkar, J., Deshmukh, S. G., Gupta, A. D., & Shankar, R. (2005). Selection of third-party logistics (3PL): A hybrid approach using interpretive structural modeling (ISM) and analytic network process (ANP). Supply Chain Forum: An International Journal, 6(1), 32–46.
  • Torabi, S., Baghersad, M., & Mansouri, S. A. (2015). Resilient supplier selection and order allocation under operational and disruption risks. Transportation Research Part E: Logistics and Transportation Review, 79, 22–48.
  • Tyagi, M., Kumar, P., & Kumar, D. (2015). Assessment of critical enablers for flexible supply chain performance measurement system using fuzzy DEMATEL approach. Global Journal of Flexible Systems Management, 16(2), 115–132.
  • Valipour Parkouhi, S., & Safaei Ghadikolaei, A. (2017). A resilience approach for supplier selection: Using fuzzy analytic network process and grey VIKOR techniques. Journal of Cleaner Production, 161, 431–451.
  • Valipour Parkouhi, S., Safaei Ghadikolaei, A., & Fallah Lajimi, H. (2019). Resilient supplier selection and segmentation in grey environment. Journal of Cleaner Production, 207, 1123–1137.
  • Vonderembse, M., & Tracey, M. (1999). The impact of supplier selection criteria and supplier involvement on manufacturing performance. The Journal of Supply Chain Management, 35(2), 33–39.
  • Wang, T., Zhang, Q., Chong, H. Y., & Wang, X. (2017). Integrated supplier selection framework in a resilient construction supply chain: An approach via analytic hierarchy process (AHP) and grey relational analysis (GRA). Sustainability, 9(2), 289.
  • Yousefi, S., Mahmoudzadeh, H., & Jahangoshai, M. (2017). Using supply chain visibility and cost for supplier selection: A mathematical model. International Journal of Management Science and Engineering Management, 12(3), 196–205.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.