IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v200y2010i3p774-787.html
   My bibliography  Save this item

Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach

Citations

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


Cited by:

  1. Samuel Yousefi & Mustafa Jahangoshai Rezaee & Maghsud Solimanpur, 2021. "Supplier selection and order allocation using two-stage hybrid supply chain model and game-based order price," Operational Research, Springer, vol. 21(1), pages 553-588, March.
  2. Jesús Morcillo-Bellido & Luis Isasi-Sanchez & Isabel Garcia-Gutierrez & Alfonso Duran-Heras, 2021. "Model Based Analysis of Innovation in Sustainable Supply Chains," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
  3. Tomasz Korol, 2018. "The Implementation of Fuzzy Logic in Forecasting Financial Ratios," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(2), June.
  4. Sirbiladze, Gia & Khutsishvili, Irina & Ghvaberidze, Bezhan, 2014. "Multistage decision-making fuzzy methodology for optimal investments based on experts’ evaluations," European Journal of Operational Research, Elsevier, vol. 232(1), pages 169-177.
  5. Zeki Ayağ & Funda Samanlioglu, 2016. "An intelligent approach to supplier evaluation in automotive sector," Journal of Intelligent Manufacturing, Springer, vol. 27(4), pages 889-903, August.
  6. Farheen Naz & Anil Kumar & Abhijit Majumdar & Rohit Agrawal, 2022. "Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research," Operations Management Research, Springer, vol. 15(1), pages 378-398, June.
  7. Chao Fang & Xiangxiang Liao & Min Xie, 2016. "A hybrid risks-informed approach for the selection of supplier portfolio," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2019-2034, April.
  8. Yu, Yugang & Hong, Zhaofu & Zhang, Linda L. & Liang, Liang & Chu, Chengbin, 2013. "Optimal selection of retailers for a manufacturing vendor in a vendor managed inventory system," European Journal of Operational Research, Elsevier, vol. 225(2), pages 273-284.
  9. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
  10. Simon Li & Wei Zeng, 2016. "Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA)," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1309-1321, December.
  11. Amirmahdi Malek & Sadoullah Ebrahimnejad & Reza Tavakkoli-Moghaddam, 2017. "An Improved Hybrid Grey Relational Analysis Approach for Green Resilient Supply Chain Network Assessment," Sustainability, MDPI, vol. 9(8), pages 1-28, August.
  12. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.
  13. Seyedmohsen Hosseini & Abdullah Al Khaled, 2019. "A hybrid ensemble and AHP approach for resilient supplier selection," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 207-228, January.
  14. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," JRFM, MDPI, vol. 12(4), pages 1-15, December.
  15. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.
  16. Keunho Choi & Gunwoo Kim & Yongmoo Suh & Donghee Yoo, 2017. "Assignment of collaborators to multiple business problems using genetic algorithm," Information Systems and e-Business Management, Springer, vol. 15(4), pages 877-895, November.
  17. A. Azadeh & R. Siadatian & M. Rezaei-Malek & F. Rouhollah, 2017. "Optimization of supplier selection problem by combined customer trust and resilience engineering under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1553-1566, November.
  18. Gligor, Dr David, 2020. "Birds of a feather: The impact of race on the supplier selection and evaluation process," International Journal of Production Economics, Elsevier, vol. 230(C).
  19. Li, Mo & Fu, Qiang & Singh, Vijay P. & Liu, Dong & Li, Jiang, 2020. "Optimization of sustainable bioenergy production considering energy-food-water-land nexus and livestock manure under uncertainty," Agricultural Systems, Elsevier, vol. 184(C).
  20. Irfan Ali & Armin Fügenschuh & Srikant Gupta & Umar Muhammad Modibbo, 2020. "The LR-Type Fuzzy Multi-Objective Vendor Selection Problem in Supply Chain Management," Mathematics, MDPI, vol. 8(9), pages 1-25, September.
  21. Faiza Hamdi & Ahmed Ghorbel & Faouzi Masmoudi & Lionel Dupont, 2018. "Optimization of a supply portfolio in the context of supply chain risk management: literature review," Journal of Intelligent Manufacturing, Springer, vol. 29(4), pages 763-788, April.
  22. Blome, Constantin & Schoenherr, Tobias, 2011. "Supply chain risk management in financial crises--A multiple case-study approach," International Journal of Production Economics, Elsevier, vol. 134(1), pages 43-57, November.
  23. Yongrok Choi & Xiaoxia Ye & Lu Zhao & Amanda C. Luo, 2016. "Optimizing enterprise risk management: a literature review and critical analysis of the work of Wu and Olson," Annals of Operations Research, Springer, vol. 237(1), pages 281-300, February.
  24. Hosseininasab, Amin & Ahmadi, Abbas, 2015. "Selecting a supplier portfolio with value, development, and risk consideration," European Journal of Operational Research, Elsevier, vol. 245(1), pages 146-156.
  25. Zhou, Wei & Xu, Zeshui, 2016. "Generalized asymmetric linguistic term set and its application to qualitative decision making involving risk appetites," European Journal of Operational Research, Elsevier, vol. 254(2), pages 610-621.
  26. Zon-Yau Lee & Mei-Tai Chu & Yu-Ting Wang & Kuan-Ju Chen, 2020. "Industry Performance Appraisal Using Improved MCDM for Next Generation of Taiwan," Sustainability, MDPI, vol. 12(13), pages 1-18, June.
  27. Yongrok Choi & Xiaoxia Ye & Lu Zhao & Amanda Luo, 2016. "Optimizing enterprise risk management: a literature review and critical analysis of the work of Wu and Olson," Annals of Operations Research, Springer, vol. 237(1), pages 281-300, February.
  28. Wang, Di & Liu, Weihua & Shen, Xinran & Wei, Wanying, 2019. "Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 293-311.
  29. Mukherjee, Krishnendu, 2014. "Supplier selection criteria and methods: past, present and future," MPRA Paper 60079, University Library of Munich, Germany.
  30. Kuzu, Kaan & Li, Wanxi, 2016. "Exploring supplier performance risk and the buyer's role using chance-constrained data envelopment analysisAuthor-Name: Ross, Anthony D," European Journal of Operational Research, Elsevier, vol. 250(3), pages 966-978.
  31. Zhou, Rui & Bhuiyan, Tanveer Hossain & Medal, Hugh R. & Sherwin, Michael D. & Yang, Dong, 2022. "A stochastic programming model with endogenous uncertainty for selecting supplier development programs to proactively mitigate supplier risk," Omega, Elsevier, vol. 107(C).
  32. Dagmar Camska & Jiri Klecka, 2020. "Comparison of Prediction Models Applied in Economic Recession and Expansion," JRFM, MDPI, vol. 13(3), pages 1-16, March.
  33. Merve Er Kara & Seniye Ümit Oktay Fırat, 2018. "Supplier Risk Assessment Based on Best-Worst Method and K-Means Clustering: A Case Study," Sustainability, MDPI, vol. 10(4), pages 1-25, April.
  34. Keunho Choi & Gunwoo Kim & Yongmoo Suh & Donghee Yoo, 0. "Assignment of collaborators to multiple business problems using genetic algorithm," Information Systems and e-Business Management, Springer, vol. 0, pages 1-19.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.