IDEAS home Printed from https://ideas.repec.org/r/eee/transe/v48y2012i6p1152-1168.html
   My bibliography  Save this item

Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model

Citations

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


Cited by:

  1. Firoozeh Kaveh & Reza Tavakkoli-Moghaddam & Chefi Triki & Yaser Rahimi & Amin Jamili, 2021. "A new bi-objective model of the urban public transportation hub network design under uncertainty," Annals of Operations Research, Springer, vol. 296(1), pages 131-162, January.
  2. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
  3. Vahdani, Behnam & Veysmoradi, D. & Mousavi, S.M. & Amiri, M., 2022. "Planning for relief distribution, victim evacuation, redistricting and service sharing under uncertainty," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
  4. Omid Abdolazimi & Farzad Bahrami & Davood Shishebori & Majid Alimohammadi Ardakani, 2022. "A multi-objective closed-loop supply chain network design problem under parameter uncertainty: comparison of exact methods," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(9), pages 10768-10802, September.
  5. Zhou, Li & Naim, Mohamed M. & Disney, Stephen M., 2017. "The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 487-502.
  6. Zahiri, B. & Tavakkoli-Moghaddam, R. & Mohammadi, M. & Jula, P., 2014. "Multi-objective design of an organ transplant network under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 101-124.
  7. Hasani, Aliakbar & Khosrojerdi, Amirhossein, 2016. "Robust global supply chain network design under disruption and uncertainty considering resilience strategies: A parallel memetic algorithm for a real-life case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 87(C), pages 20-52.
  8. Hamdan, Bayan & Diabat, Ali, 2020. "Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
  9. Diabat, Ali & Jabbarzadeh, Armin & Khosrojerdi, Amir, 2019. "A perishable product supply chain network design problem with reliability and disruption considerations," International Journal of Production Economics, Elsevier, vol. 212(C), pages 125-138.
  10. Vahdani, Behnam & Mohammadi, M., 2015. "A bi-objective interval-stochastic robust optimization model for designing closed loop supply chain network with multi-priority queuing system," International Journal of Production Economics, Elsevier, vol. 170(PA), pages 67-87.
  11. YAO, Lifei & JIN, Maozhu & REN, Peiyu & LV, Zhihan, 2016. "Robust environmental closed-loop supply chain design under uncertaintyAuthor-Name: MA, Ruimin," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 195-202.
  12. Nabavi, S.M. & Vahdani, Behnam & Nadjafi, B. Afshar & Adibi, M.A., 2022. "Synchronizing victim evacuation and debris removal: A data-driven robust prediction approach," European Journal of Operational Research, Elsevier, vol. 300(2), pages 689-712.
  13. Zhang, Yanzi & Diabat, Ali & Zhang, Zhi-Hai, 2021. "Reliable closed-loop supply chain design problem under facility-type-dependent probabilistic disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 180-209.
  14. Koji Kimita & Sergio A. Brambila‐Macias & Anne‐Marie Tillman & Tomohiko Sakao, 2021. "Failure analysis method for enhancing circularity through systems perspective," Journal of Industrial Ecology, Yale University, vol. 25(3), pages 544-562, June.
  15. Yang Hu, 2023. "Perspectives in closed-loop supply chains network design considering risk and uncertainty factors," Papers 2306.04819, arXiv.org.
  16. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
  17. Smita Rani & Rashid Ali & Anchal Agarwal, 2019. "Fuzzy inventory model for deteriorating items in a green supply chain with carbon concerned demand," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 91-122, March.
  18. Tosarkani, Babak Mohamadpour & Amin, Saman Hassanzadeh & Zolfagharinia, Hossein, 2020. "A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network," International Journal of Production Economics, Elsevier, vol. 224(C).
  19. S.A. Torabi & J. Namdar & S.M. Hatefi & F. Jolai, 2016. "An enhanced possibilistic programming approach for reliable closed-loop supply chain network design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1358-1387, March.
  20. Salimi, F. & Vahdani, Behnam, 2018. "Designing a bio-fuel network considering links reliability and risk-pooling effect in bio-refineries," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 96-107.
  21. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
  22. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
  23. An, Kun & Ouyang, Yanfeng, 2016. "Robust grain supply chain design considering post-harvest loss and harvest timing equilibrium," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 110-128.
  24. Zeinab Sazvar & Mahsa Zokaee & Reza Tavakkoli-Moghaddam & Samira Al-sadat Salari & Sina Nayeri, 2022. "Designing a sustainable closed-loop pharmaceutical supply chain in a competitive market considering demand uncertainty, manufacturer’s brand and waste management," Annals of Operations Research, Springer, vol. 315(2), pages 2057-2088, August.
  25. Peyman Taki & Farnaz Barzinpour & Ebrahim Teimoury, 2016. "Risk-pooling strategy, lead time, delivery reliability and inventory control decisions in a stochastic multi-objective supply chain network design," Annals of Operations Research, Springer, vol. 244(2), pages 619-646, September.
  26. Mohammadi, M. & Dehbari, S. & Vahdani, Behnam, 2014. "Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 15-41.
  27. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry & Zennaro, Ilenia, 2021. "Costs of resilience and disruptions in supply chain network design models: A review and future research directions," International Journal of Production Economics, Elsevier, vol. 235(C).
  28. Tsao, Yu-Chung & Thanh, Vo-Van, 2019. "A multi-objective mixed robust possibilistic flexible programming approach for sustainable seaport-dry port network design under an uncertain environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 13-39.
  29. Vahid Nazari-Ghanbarloo & Ali Ghodratnama, 2021. "Optimizing a robust tri-objective multi-period reliable supply chain network considering queuing system and operational and disruption risks," Operational Research, Springer, vol. 21(3), pages 1963-2020, September.
  30. Masoud Alinezhad & Iraj Mahdavi & Milad Hematian & Erfan Babaee Tirkolaee, 2022. "A fuzzy multi-objective optimization model for sustainable closed-loop supply chain network design in food industries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(6), pages 8779-8806, June.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.