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A Dynamic Model for Requirements Planning with Application to Supply Chain Optimization

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Cited by:

  1. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
  2. Leon Yang Chu & Hao Zhang, 2011. "Optimal Preorder Strategy with Endogenous Information Control," Management Science, INFORMS, vol. 57(6), pages 1055-1077, June.
  3. Nihat Altintas & Michael Trick, 2014. "A data mining approach to forecast behavior," Annals of Operations Research, Springer, vol. 216(1), pages 3-22, May.
  4. Li Chen & Hau L. Lee, 2009. "Information Sharing and Order Variability Control Under a Generalized Demand Model," Management Science, INFORMS, vol. 55(5), pages 781-797, May.
  5. Lingxiu Dong & Hau L. Lee, 2003. "Optimal Policies and Approximations for a Serial Multiechelon Inventory System with Time-Correlated Demand," Operations Research, INFORMS, vol. 51(6), pages 969-980, December.
  6. Kunnumkal, Sumit & Topaloglu, Huseyin, 2008. "Price discounts in exchange for reduced customer demand variability and applications to advance demand information acquisition," International Journal of Production Economics, Elsevier, vol. 111(2), pages 543-561, February.
  7. Adrian Becker & Kassem Benabderrazik & Dimitris Bertsimas & Nada Chtinna & Nada El Majdoub & El Miloudi Mahboubi & Driss Lahlou Kitane & Steve Kokkotos & Georgia Mourtzinou & Ilyas Rakhis, 2022. "Toward Global Food Security: Transforming OCP Through Analytics," Interfaces, INFORMS, vol. 52(1), pages 90-107, January.
  8. Zahraei, Seyed Mehdi & Teo, Chee-Chong, 2018. "Optimizing a recover-and-assemble remanufacturing system with production smoothing," International Journal of Production Economics, Elsevier, vol. 197(C), pages 330-341.
  9. Iida, Tetsuo, 2015. "Benefits of leadtime information and of its combination with demand forecast information," International Journal of Production Economics, Elsevier, vol. 163(C), pages 146-156.
  10. Dan A. Iancu & Mayank Sharma & Maxim Sviridenko, 2013. "Supermodularity and Affine Policies in Dynamic Robust Optimization," Operations Research, INFORMS, vol. 61(4), pages 941-956, August.
  11. Toktay, Latife Beril, 1970- & Wein, Lawrence M., 1999. "Analysis of a forecasting-production-inventory system with stationary demand," Working papers WP 4070-99., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  12. Ruomeng Cui & Gad Allon & Achal Bassamboo & Jan A. Van Mieghem, 2015. "Information Sharing in Supply Chains: An Empirical and Theoretical Valuation," Management Science, INFORMS, vol. 61(11), pages 2803-2824, November.
  13. Tong Wang & Beril L. Toktay, 2008. "Inventory Management with Advance Demand Information and Flexible Delivery," Management Science, INFORMS, vol. 54(4), pages 716-732, April.
  14. Zahraei, Seyed Mehdi & Teo, Chee-Chong, 2017. "Optimizing a supply network with production smoothing, freight expediting and safety stocks: An analysis of tactical trade-offs," European Journal of Operational Research, Elsevier, vol. 262(1), pages 75-88.
  15. Christian Terwiesch & Z. Justin Ren & Teck H. Ho & Morris A. Cohen, 2005. "An Empirical Analysis of Forecast Sharing in the Semiconductor Equipment Supply Chain," Management Science, INFORMS, vol. 51(2), pages 208-220, February.
  16. Grace Lin & Markus Ettl & Steve Buckley & Sugato Bagchi & David D. Yao & Bret L. Naccarato & Rob Allan & Kerry Kim & Lisa Koenig, 2000. "Extended-Enterprise Supply-Chain Management at IBM Personal Systems Group and Other Divisions," Interfaces, INFORMS, vol. 30(1), pages 7-25, February.
  17. Yimin Wang & Brian Tomlin, 2009. "To wait or not to wait: Optimal ordering under lead time uncertainty and forecast updating," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(8), pages 766-779, December.
  18. Sodhi, ManMohan S. & Tang, Christopher S., 2011. "The incremental bullwhip effect of operational deviations in an arborescent supply chain with requirements planning," European Journal of Operational Research, Elsevier, vol. 215(2), pages 374-382, December.
  19. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean Marie, 2005. "A short and mean-term automatic forecasting system--application to textile logistics," European Journal of Operational Research, Elsevier, vol. 161(1), pages 275-284, February.
  20. Xiangwen Lu & Jing-Sheng Song & Amelia Regan, 2006. "Inventory Planning with Forecast Updates: Approximate Solutions and Cost Error Bounds," Operations Research, INFORMS, vol. 54(6), pages 1079-1097, December.
  21. Kaijie Zhu & Ulrich W. Thonemann, 2004. "Modeling the Benefits of Sharing Future Demand Information," Operations Research, INFORMS, vol. 52(1), pages 136-147, February.
  22. Jana Ralfs & Gudrun P. Kiesmüller, 2022. "Inventory management with advance demand information and flexible shipment consolidation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1009-1044, December.
  23. Bicer, Isik & Hagspiel, Verena, 2016. "Valuing quantity flexibility under supply chain disintermediation risk," International Journal of Production Economics, Elsevier, vol. 180(C), pages 1-15.
  24. Robert L. Bray & Haim Mendelson, 2012. "Information Transmission and the Bullwhip Effect: An Empirical Investigation," Management Science, INFORMS, vol. 58(5), pages 860-875, May.
  25. Wang, Xun & Disney, Stephen M., 2016. "The bullwhip effect: Progress, trends and directions," European Journal of Operational Research, Elsevier, vol. 250(3), pages 691-701.
  26. Yossi Aviv, 2007. "On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers," Management Science, INFORMS, vol. 53(5), pages 777-794, May.
  27. Tetsuo Iida & Paul Zipkin, 2010. "Competition and Cooperation in a Two-Stage Supply Chain with Demand Forecasts," Operations Research, INFORMS, vol. 58(5), pages 1350-1363, October.
  28. Gérard P. Cachon & Martin A. Lariviere, 2001. "Contracting to Assure Supply: How to Share Demand Forecasts in a Supply Chain," Management Science, INFORMS, vol. 47(5), pages 629-646, May.
  29. Rong Yuan & Stephen C. Graves, 2016. "Setting optimal production lot sizes and planned lead times in a job shop," International Journal of Production Research, Taylor & Francis Journals, vol. 54(20), pages 6105-6120, October.
  30. Glock, Christoph H. & Rekik, Yacine & Ries, Jörg M., 2020. "A coordination mechanism for supply chains with capacity expansions and order-dependent lead times," European Journal of Operational Research, Elsevier, vol. 285(1), pages 247-262.
  31. Kevin H. Shang & Jing-Sheng Song, 2006. "A Closed-Form Approximation for Serial Inventory Systems and Its Application to System Design," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 394-406, September.
  32. Stephen C. Graves & Sean P. Willems, 2000. "Optimizing Strategic Safety Stock Placement in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 2(1), pages 68-83, June.
  33. Robert L. Bray & Haim Mendelson, 2015. "Production Smoothing and the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 208-220, May.
  34. L. Beril Toktay & Lawrence M. Wein, 2001. "Analysis of a Forecasting-Production-Inventory System with Stationary Demand," Management Science, INFORMS, vol. 47(9), pages 1268-1281, September.
  35. Julia Miyaoka & Warren Hausman, 2004. "How a Base Stock Policy Using "Stale" Forecasts Provides Supply Chain Benefits," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 149-162, September.
  36. Tor Schoenmeyr & Stephen C. Graves, 2009. "Strategic Safety Stocks in Supply Chains with Evolving Forecasts," Manufacturing & Service Operations Management, INFORMS, vol. 11(4), pages 657-673, March.
  37. Altug, Mehmet Sekip & Muharremoglu, Alp, 2011. "Inventory management with advance supply information," International Journal of Production Economics, Elsevier, vol. 129(2), pages 302-313, February.
  38. Marcos Singer & Patricio Donoso & José Noguer, 2005. "Optimal Planning of a Multi-Station System with Sojourn Time Constraints," Annals of Operations Research, Springer, vol. 138(1), pages 203-222, September.
  39. Dellaert, N. P. & Melo, M. T., 2003. "Approximate solutions for a stochastic lot-sizing problem with partial customer-order information," European Journal of Operational Research, Elsevier, vol. 150(1), pages 163-180, October.
  40. Felix Papier, 2016. "Supply Allocation Under Sequential Advance Demand Information," Operations Research, INFORMS, vol. 64(2), pages 341-361, April.
  41. Guillermo Gallego & Özalp Özer, 2003. "Optimal Replenishment Policies for Multiechelon Inventory Problems Under Advance Demand Information," Manufacturing & Service Operations Management, INFORMS, vol. 5(2), pages 157-175, February.
  42. Anantaram Balakrishnan & Joseph Geunes & Michael S. Pangburn, 2004. "Coordinating Supply Chains by Controlling Upstream Variability Propagation," Manufacturing & Service Operations Management, INFORMS, vol. 6(2), pages 163-183, July.
  43. Sechan Oh & Özalp Özer, 2013. "Mechanism Design for Capacity Planning Under Dynamic Evolutions of Asymmetric Demand Forecasts," Management Science, INFORMS, vol. 59(4), pages 987-1007, April.
  44. Thomassey, Sebastien & Happiette, Michel & Castelain, Jean-Marie, 2005. "A global forecasting support system adapted to textile distribution," International Journal of Production Economics, Elsevier, vol. 96(1), pages 81-95, April.
  45. Tong Wang & Atalay Atasu & Mümin Kurtuluş, 2012. "A Multiordering Newsvendor Model with Dynamic Forecast Evolution," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 472-484, July.
  46. Tetsuo Iida & Paul H. Zipkin, 2006. "Approximate Solutions of a Dynamic Forecast-Inventory Model," Manufacturing & Service Operations Management, INFORMS, vol. 8(4), pages 407-425, October.
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