IDEAS home Printed from https://ideas.repec.org/r/eee/proeco/v183y2017ipcp680-699.html

Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain

Citations

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


Cited by:

  1. Amin Eshkiti & Fatemeh Sabouhi & Ali Bozorgi-Amiri, 2023. "A data-driven optimization model to response to COVID-19 pandemic: a case study," Annals of Operations Research, Springer, vol. 328(1), pages 337-386, September.
  2. Muhammad Imran & Muhammad Salman Habib & Amjad Hussain & Naveed Ahmed & Abdulrahman M. Al-Ahmari, 2020. "Inventory Routing Problem in Supply Chain of Perishable Products under Cost Uncertainty," Mathematics, MDPI, vol. 8(3), pages 1-29, March.
  3. Zhao, Kena & Ng, Tsan Sheng & Tan, Chin Hon & Pang, Chee Khiang, 2021. "An almost robust model for minimizing disruption exposures in supply systems," European Journal of Operational Research, Elsevier, vol. 295(2), pages 547-559.
  4. Songtao Zhang & Chunyang Zhang & Siqi Zhang & Min Zhang, 2018. "Discrete Switched Model and Fuzzy Robust Control of Dynamic Supply Chain Network," Complexity, Hindawi, vol. 2018, pages 1-11, January.
  5. Konstantinos Liagkouras & Konstantinos Metaxiotis, 2023. "Sources of Uncertainty and Risk Quantification Methods in Supply Chain Management: A Literature Study," SN Operations Research Forum, Springer, vol. 4(4), pages 1-42, December.
  6. Blossey, Gregor & Hahn, Gerd J. & Koberstein, Achim, 2022. "Planning pharmaceutical manufacturing networks in the light of uncertain production approval times," International Journal of Production Economics, Elsevier, vol. 244(C).
  7. Pin, Lantos A. & Pennink, Bartjan J.W. & Balsters, Herman & Sianipar, Corinthias P.M., 2021. "Technological appropriateness of biomass production in rural settings: Addressing water hyacinths (E. crassipes) problem in Lake Tondano, Indonesia," Technology in Society, Elsevier, vol. 66(C).
  8. Hamed Soleimani & Prem Chhetri & Amir M. Fathollahi-Fard & S. M. J. Mirzapour Al-e-Hashem & Shahrooz Shahparvari, 2022. "Sustainable closed-loop supply chain with energy efficiency: Lagrangian relaxation, reformulations and heuristics," Annals of Operations Research, Springer, vol. 318(1), pages 531-556, November.
  9. Yang, Zhongzhen & Wang, Yanping & Lian, Feng, 2025. "Optimization of the Sino-Russian trade transportation network under geopolitical risks such as the Russia-Ukraine conflict," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
  10. Fattahi, Mohammad & Govindan, Kannan & Maihami, Reza, 2020. "Stochastic optimization of disruption-driven supply chain network design with a new resilience metric," International Journal of Production Economics, Elsevier, vol. 230(C).
  11. Mahdieh Shakuri & Farnaz Barzinpour, 2024. "A risk-averse sustainable perishable food supply chain considering production and delivery times with real-world application," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-34, September.
  12. Ouhimmou, Mustapha & Nourelfath, Mustapha & Bouchard, Mathieu & Bricha, Naji, 2019. "Design of robust distribution network under demand uncertainty: A case study in the pulp and paper," International Journal of Production Economics, Elsevier, vol. 218(C), pages 96-105.
  13. Liu, Yong & Chen, Weidong & Qiu, Junyuan, 2026. "Online platform-based reverse logistics network design for mobile phones with resilience capability: Stochastic programming and Benders decomposition," International Journal of Production Economics, Elsevier, vol. 294(C).
  14. Weskamp, Christoph & Koberstein, Achim & Schwartz, Frank & Suhl, Leena & Voß, Stefan, 2019. "A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand," Omega, Elsevier, vol. 83(C), pages 123-138.
  15. Manupati, V.K. & Schoenherr, Tobias & Ramkumar, M. & Panigrahi, Suraj & Sharma, Yash & Mishra, Prakriti, 2022. "Recovery strategies for a disrupted supply chain network: Leveraging blockchain technology in pre- and post-disruption scenarios," International Journal of Production Economics, Elsevier, vol. 245(C).
  16. Tsan-Ming Choi & Kannan Govindan & Xiang Li & Yongjian Li, 2017. "Innovative supply chain optimization models with multiple uncertainty factors," Annals of Operations Research, Springer, vol. 257(1), pages 1-14, October.
  17. Yongbo Li & Devika Kannan & P. C. Jha & Kiran Garg & Jyoti Darbari & Neha Agarwal, 2023. "Design of a multi echelon product recovery embeded reverse logistics network for multi products and multi periods," Annals of Operations Research, Springer, vol. 323(1), pages 131-152, April.
  18. Muhammad Junaid & Ye Xue & Muzzammil Wasim Syed & Ji Zu Li & Muhammad Ziaullah, 2019. "A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan," Sustainability, MDPI, vol. 12(1), pages 1-26, December.
  19. Yi Liao & Ali Diabat & Chaher Alzaman & Yiqiang Zhang, 2020. "Modeling and heuristics for production time crashing in supply chain network design," Annals of Operations Research, Springer, vol. 288(1), pages 331-361, May.
  20. Wu, Yue & Lam, Jasmine Siu Lee, 2026. "Strategic investment in supply chain resilience: A study of fast-moving consumer goods under demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
  21. Mohammad Reza Ghatreh Samani & Seyyed-Mahdi Hosseini-Motlagh & Mahdyeh Shiri, 2025. "Integrated bioethanol supply chain planning from rice straw under various risks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(10), pages 23515-23559, October.
  22. Alikhani, Reza & Ranjbar, Amirhossein & Jamali, Amir & Torabi, S. Ali & Zobel, Christopher W., 2023. "Towards increasing synergistic effects of resilience strategies in supply chain network design," Omega, Elsevier, vol. 116(C).
  23. Zarei, Mohammadamin & Shams, Mohammad H. & Niaz, Haider & Won, Wangyun & Lee, Chul-Jin & Liu, J. Jay, 2022. "Risk-based multistage stochastic mixed-integer optimization for biofuel supply chain management under multiple uncertainties," Renewable Energy, Elsevier, vol. 200(C), pages 694-705.
  24. Fattahi, Mohammad & Govindan, Kannan & Keyvanshokooh, Esmaeil, 2017. "Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 176-200.
  25. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
  26. Alzaman, Chaher & Zhang, Zhi-Hai & Diabat, Ali, 2018. "Supply chain network design with direct and indirect production costs: Hybrid gradient and local search based heuristics," International Journal of Production Economics, Elsevier, vol. 203(C), pages 203-215.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.