IDEAS home Printed from https://ideas.repec.org/r/ems/eureri/82.html
   My bibliography  Save this item

An Inventory Model with Dependent Product Demands and Returns

Citations

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


Cited by:

  1. Bernard, Sophie, 2011. "Remanufacturing," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 337-351.
  2. Jing Chen & Bintong Chen, 2016. "Competing with customer returns policies," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2093-2107, April.
  3. W-K Ching & W-O Yuen & A W Loh, 2003. "An inventory model with returns and lateral transshipments," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(6), pages 636-641, June.
  4. Gregory A. DeCroix & Jing-Sheng Song & Paul H. Zipkin, 2009. "Managing an Assemble-to-Order System with Returns," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 144-159, October.
  5. Atamer, Büşra & Bakal, İsmail S. & Bayındır, Z. Pelin, 2013. "Optimal pricing and production decisions in utilizing reusable containers," International Journal of Production Economics, Elsevier, vol. 143(2), pages 222-232.
  6. Wenting Pan & Candice H. Huynh, 2023. "Optimal operational strategies for online retailers with demand and return uncertainty," Operations Management Research, Springer, vol. 16(2), pages 755-767, June.
  7. Nenes, George & Panagiotidou, Sofia & Dekker, Rommert, 2010. "Inventory control policies for inspection and remanufacturing of returns: A case study," International Journal of Production Economics, Elsevier, vol. 125(2), pages 300-312, June.
  8. Eric T. Anderson & Karsten Hansen & Duncan Simester, 2009. "The Option Value of Returns: Theory and Empirical Evidence," Marketing Science, INFORMS, vol. 28(3), pages 405-423, 05-06.
  9. Gregory A. DeCroix, 2006. "Optimal Policy for a Multiechelon Inventory System with Remanufacturing," Operations Research, INFORMS, vol. 54(3), pages 532-543, June.
  10. Zhou, Li & Naim, Mohamed M. & Ou Tang & Towill, Denis R., 2006. "Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process," Omega, Elsevier, vol. 34(6), pages 585-598, December.
  11. Takahashi, Katsuhiko & Morikawa, Katsumi & Myreshka & Takeda, Daisuke & Mizuno, Akihiko, 2007. "Inventory control for a MARKOVIAN remanufacturing system with stochastic decomposition process," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 416-425, July.
  12. Dijkstra, Arjan S. & Van der Heide, Gerlach & Roodbergen, Kees Jan, 2019. "Transshipments of cross-channel returned products," International Journal of Production Economics, Elsevier, vol. 209(C), pages 70-77.
  13. Patricia Rogetzer & Lena Silbermayr & Werner Jammernegg, 2018. "Sustainable sourcing of strategic raw materials by integrating recycled materials," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 421-451, September.
  14. Gregory A. DeCroix & Paul H. Zipkin, 2005. "Inventory Management for an Assembly System with Product or Component Returns," Management Science, INFORMS, vol. 51(8), pages 1250-1265, August.
  15. Tang, Ou & Grubbstrom, Robert W., 2005. "Considering stochastic lead times in a manufacturing/remanufacturing system with deterministic demands and returns," International Journal of Production Economics, Elsevier, vol. 93(1), pages 285-300, January.
  16. Zhijie Tao & Sean X. Zhou, 2014. "Approximation Balancing Policies for Inventory Systems with Remanufacturing," Mathematics of Operations Research, INFORMS, vol. 39(4), pages 1179-1197, November.
  17. Gong, Qiguo & Lai, K.K. & Wang, Shouyang, 2008. "Supply chain networks: Closed Jackson network models and properties," International Journal of Production Economics, Elsevier, vol. 113(2), pages 567-574, June.
  18. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
  19. Gregory DeCroix & Jing-Sheng Song & Paul Zipkin, 2005. "A Series System with Returns: Stationary Analysis," Operations Research, INFORMS, vol. 53(2), pages 350-362, April.
  20. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
  21. Toktay, B. & van der Laan, E.A. & de Brito, M.P., 2003. "Managing Product Returns: The Role of Forecasting," ERIM Report Series Research in Management ERS-2003-023-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  22. Zerhouni, Hichem & Gayon, Jean-Philippe & Frein, Yannick, 2013. "Influence of dependency between demands and returns in a reverse logistics system," International Journal of Production Economics, Elsevier, vol. 143(1), pages 62-71.
  23. de Brito, Marisa P. & Dekker, Rommert, 2003. "Modelling product returns in inventory control--exploring the validity of general assumptions," International Journal of Production Economics, Elsevier, vol. 81(1), pages 225-241, January.
  24. Achal Bassamboo & Sunil Kumar & Ramandeep S. Randhawa, 2009. "Dynamics of New Product Introduction in Closed Rental Systems," Operations Research, INFORMS, vol. 57(6), pages 1347-1359, December.
  25. Hsueh, Che-Fu, 2011. "An inventory control model with consideration of remanufacturing and product life cycle," International Journal of Production Economics, Elsevier, vol. 133(2), pages 645-652, October.
  26. Z P Bayındır & N Erkip & R Güllü, 2005. "Assessing the benefits of remanufacturing option under one-way substitution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 286-296, March.
  27. Mabel C. Chou & Chee-Khian Sim & Xue-Ming Yuan, 2020. "Policies for inventory models with product returns forecast from past demands and past sales," Annals of Operations Research, Springer, vol. 288(1), pages 137-180, May.
  28. Toyin Clottey, 2016. "Development and evaluation of a rolling horizon purchasing policy for cores," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2780-2790, May.
  29. Zhou, Li & Xie, Jiaping & Gu, Xiaoyu & Lin, Yong & Ieromonachou, Petros & Zhang, Xiaole, 2016. "Forecasting return of used products for remanufacturing using Graphical Evaluation and Review Technique (GERT)," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 315-324.
  30. P-S You, 2003. "Dynamic pricing of inventory with cancellation demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(10), pages 1093-1101, October.
  31. Andre P. Calmon & Stephen C. Graves, 2017. "Inventory Management in a Consumer Electronics Closed-Loop Supply Chain," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 568-585, October.
  32. Yongjian Li & Xiaoqiang Cai & Lei Xu & Wenxia Yang, 2016. "Heuristic approach on dynamic lot-sizing model for durable products with end-of-use constraints," Annals of Operations Research, Springer, vol. 242(2), pages 265-283, July.
  33. Tsiliyannis, Christos Aristeides, 2018. "Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age," European Journal of Operational Research, Elsevier, vol. 271(2), pages 474-489.
  34. Goedhart, Joost & Haijema, René & Akkerman, Renzo, 2023. "Modelling the influence of returns for an omni-channel retailer," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1248-1263.
  35. Gökbayrak, Esra & Kayış, Enis, 2023. "Single item periodic review inventory control with sales dependent stochastic return flows," International Journal of Production Economics, Elsevier, vol. 255(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.