IDEAS home Printed from https://ideas.repec.org/r/eee/jomega/v52y2015icp201-212.html
   My bibliography  Save this item

Centralization versus decentralization: Risk pooling, risk diversification, and supply chain disruptions

Citations

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


Cited by:

  1. Hadar Amrani & Eugene Khmelnitsky, 2017. "Optimal division of inventory between depot and bases," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(1), pages 3-18, February.
  2. Dmitry Ivanov, 2017. "Simulation-based ripple effect modelling in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2083-2101, April.
  3. Taleizadeh, Ata Allah & Tafakkori, Keivan & Thaichon, Park, 2021. "Resilience toward supply disruptions: A stochastic inventory control model with partial backordering under the base stock policy," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
  4. Xiao, Li & Wang, Ce, 2023. "Multi-location newsvendor problem with random yield: Centralization versus decentralization," Omega, Elsevier, vol. 116(C).
  5. 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.
  6. Sarkar, Sourish & Kumar, Sanjay, 2015. "A behavioral experiment on inventory management with supply chain disruption," International Journal of Production Economics, Elsevier, vol. 169(C), pages 169-178.
  7. Khorshidvand, Behrooz & Soleimani, Hamed & Sibdari, Soheil & Seyyed Esfahani, Mir Mehdi, 2021. "Revenue management in a multi-level multi-channel supply chain considering pricing, greening, and advertising decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
  8. Hong, Yoo Suk & Huh, Woonghee Tim & Kang, Changmuk, 2017. "Sourcing assemble-to-order inventories under supplier risk uncertainty," Omega, Elsevier, vol. 66(PA), pages 1-14.
  9. Dobromir Herzog, 2021. "Human factor aspects in information security management in the traditional IT and cloud computing models," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(2), pages 93-108.
  10. Dmitry Ivanov & Maxim Rozhkov, 2020. "Coordination of production and ordering policies under capacity disruption and product write-off risk: an analytical study with real-data based simulations of a fast moving consumer goods company," Annals of Operations Research, Springer, vol. 291(1), pages 387-407, August.
  11. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2015. "A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh☆,☆☆☆This manuscript was pro," Omega, Elsevier, vol. 57(PA), pages 5-21.
  12. Kim, Nayeon & Montreuil, Benoit & Klibi, Walid & Zied Babai, M., 2023. "Network inventory deployment for responsive fulfillment," International Journal of Production Economics, Elsevier, vol. 255(C).
  13. Zhang, Yi & Hua, Guowei & Cheng, T.C.E. & Zhang, Juliang & Fernandez, Vicenc, 2020. "Risk pooling through physical probabilistic selling," International Journal of Production Economics, Elsevier, vol. 219(C), pages 295-311.
  14. Peeyush Vats & Gunjan Soni & Ajay Pal Singh Rathore & Surya Prakash Yadav, 2019. "A demand aggregation approach for inventory control in two echelon supply chain under uncertainty," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 840-868, September.
  15. Li, Jin & Shi, Victor, 2019. "The benefit of horizontal decentralization in durable good procurement," Omega, Elsevier, vol. 82(C), pages 13-23.
  16. Holzapfel, Andreas & Potoczki, Tobias & Kuhn, Heinrich, 2023. "Designing the breadth and depth of distribution networks in the retail trade," International Journal of Production Economics, Elsevier, vol. 257(C).
  17. René Y. Glogg & Anna Timonina-Farkas & Ralf W. Seifert, 2022. "Modeling and mitigating supply chain disruptions as a bilevel network flow problem," Computational Management Science, Springer, vol. 19(3), pages 395-423, July.
  18. Shao, Xiao-Feng, 2018. "Production disruption, compensation, and transshipment policies," Omega, Elsevier, vol. 74(C), pages 37-49.
  19. He, Juan & Ma, Chao & Pan, Kai, 2017. "Capacity investment in supply chain with risk averse supplier under risk diversification contract," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 255-275.
  20. Ehsan Ahmadi & Dale T. Masel & Seth Hostetler & Reza Maihami & Iman Ghalehkhondabi, 2020. "A centralized stochastic inventory control model for perishable products considering age-dependent purchase price and lead time," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 28(1), pages 231-269, April.
  21. Yu, Guodong & Haskell, William B. & Liu, Yang, 2017. "Resilient facility location against the risk of disruptions," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 82-105.
  22. Junxuan Li & Chelsea C. White, 2023. "Capacity planning in a decentralized autologous cell therapy manufacturing network for low-cost resilience," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 295-319, June.
  23. Sinha, Priyank & Kumar, Sameer & Chandra, Charu, 2023. "Strategies for ensuring required service level for COVID-19 herd immunity in Indian vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 304(1), pages 339-352.
  24. Yu, Guodong & Zhang, Jie, 2018. "Multi-dual decomposition solution for risk-averse facility location problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 70-89.
  25. Alessandro Flammini & Erik Brundin & Rikard Grill & Hannes Zellweger, 2020. "Supply Chain Uncertainties of Small-Scale Coffee Husk-Biochar Production for Activated Carbon in Vietnam," Sustainability, MDPI, vol. 12(19), pages 1-27, September.
  26. Asmae El Mokrini & Tarik Aouam & Nadine Kafa, 2023. "A tailored aggregation strategy for inventory pooling in healthcare: evidence from an emerging market," Operations Management Research, Springer, vol. 16(1), pages 209-226, March.
  27. Jin Sung Rha, 2020. "Trends of Research on Supply Chain Resilience: A Systematic Review Using Network Analysis," Sustainability, MDPI, vol. 12(11), pages 1-27, May.
  28. Alikhani, Reza & Torabi, S.Ali & Altay, Nezih, 2021. "Retail supply chain network design with concurrent resilience capabilities," International Journal of Production Economics, Elsevier, vol. 234(C).
  29. Li, Jin & Yang, Shilei & Shi, Victor & Zhai, Senjing, 2020. "Partial vertical centralization in competing supply chains," International Journal of Production Economics, Elsevier, vol. 224(C).
  30. Huang, He & Xu, Hongyan, 2015. "Dual sourcing and backup production: Coexistence versus exclusivity," Omega, Elsevier, vol. 57(PA), pages 22-33.
  31. Konstantaras, I. & Skouri, K. & Lagodimos, A.G., 2019. "EOQ with independent endogenous supply disruptions," Omega, Elsevier, vol. 83(C), pages 96-106.
  32. Ying Rong & Lawrence V. Snyder & Zuo‐Jun Max Shen, 2017. "Bullwhip and reverse bullwhip effects under the rationing game," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(3), pages 203-216, April.
  33. Chaolin Yang & Zhenyu Hu & Sean X. Zhou, 2021. "Multilocation Newsvendor Problem: Centralization and Inventory Pooling," Management Science, INFORMS, vol. 67(1), pages 185-200, January.
  34. Ribašauskienė, Erika & Volkov, Artiom & Morkūnas, Mangirdas & Žičkienė, Agnė & Dabkiene, Vida & Štreimikienė, Dalia & Baležentis, Tomas, 2024. "Strategies for increasing agricultural viability, resilience and sustainability amid disruptive events: An expert-based analysis of relevance," Journal of Business Research, Elsevier, vol. 170(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.