IDEAS home Printed from https://ideas.repec.org/r/eee/ejores/v142y2002i1p81-107.html
   My bibliography  Save this item

Improving supply-chain performance by sharing advance demand information

Citations

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


Cited by:

  1. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Brand positioning and consumer taste information," ESMT Research Working Papers ESMT-17-01_R1, ESMT European School of Management and Technology, revised 04 Dec 2017.
  2. Enrique Holgado de Frutos & Juan R Trapero & Francisco Ramos, 2020. "A literature review on operational decisions applied to collaborative supply chains," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-28, March.
  3. Themistocleous, Marinos & Irani, Zahir & Love, Peter E. D., 2004. "Evaluating the integration of supply chain information systems: A case study," European Journal of Operational Research, Elsevier, vol. 159(2), pages 393-405, December.
  4. Sahi, Gurjeet Kaur & Gupta, Mahesh C. & Cheng, T.C.E. & Mantok, Stanzin, 2021. "Mitigating the tension in pursuit of operational ambidexterity: The roles of knowledge development and bricolage," International Journal of Production Economics, Elsevier, vol. 239(C).
  5. Dursun, İpek & Akcay, Alp & van Houtum, Geert-Jan, 2024. "How good must failure predictions be to make local spare parts stock superfluous?," International Journal of Production Economics, Elsevier, vol. 267(C).
  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. Rippe, Christoph & Kiesmüller, Gudrun P., 2023. "The repair kit problem with imperfect advance demand information," European Journal of Operational Research, Elsevier, vol. 304(2), pages 558-576.
  8. T. Saikouk & I. Zouaghi & A. Spalanzani, 2011. "Mitigating Supply Chain System Entropy by the Implementation of RFID," Post-Print halshs-00665653, HAL.
  9. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
  10. 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.
  11. Nalca, Arcan & Boyaci, Tamer & Ray, Saibal, 2018. "Brand positioning and consumer taste information," European Journal of Operational Research, Elsevier, vol. 268(2), pages 555-568.
  12. Guanghua Han & Ming Dong, 2017. "Sustainable Regulation of Information Sharing with Electronic Data Interchange by a Trust-Embedded Contract," Sustainability, MDPI, vol. 9(6), pages 1-22, June.
  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. Mu-Chen Chen & Taho Yang & Chi-Tsung Yen, 2007. "Investigating the value of information sharing in multi-echelon supply chains," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 497-511, June.
  15. M N Jalil & R A Zuidwijk & M Fleischmann & Jo A E E van Nunen, 2011. "Spare parts logistics and installed base information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 442-457, March.
  16. Geary, S. & Disney, S.M. & Towill, D.R., 2006. "On bullwhip in supply chains--historical review, present practice and expected future impact," International Journal of Production Economics, Elsevier, vol. 101(1), pages 2-18, May.
  17. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael, 2014. "Collaborative forecasting in the food supply chain: A conceptual framework," International Journal of Production Economics, Elsevier, vol. 158(C), pages 120-135.
  18. Taher Ahmadi & Zümbül Atan & Ton de Kok & Ivo Adan, 2019. "Optimal control policies for an inventory system with commitment lead time," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 193-212, April.
  19. Kaijie Zhu & Ulrich W. Thonemann, 2004. "Modeling the Benefits of Sharing Future Demand Information," Operations Research, INFORMS, vol. 52(1), pages 136-147, February.
  20. 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.
  21. Tan, Tarkan & Güllü, Refik & Erkip, Nesim, 2009. "Using imperfect advance demand information in ordering and rationing decisions," International Journal of Production Economics, Elsevier, vol. 121(2), pages 665-677, October.
  22. Jalil, M.N. & Zuidwijk, R.A. & Fleischmann, M. & van Nunen, J.A.E.E., 2009. "Spare Parts Logistics and Installed Base Information," ERIM Report Series Research in Management ERS-2009-002-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.
  23. Zhang, Hongtao & Lee, Chung-Yee & Li, Tian, 2016. "The value of specific cargo information for substitutable modes of inland transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 85(C), pages 23-39.
  24. Carbonneau, Real & Laframboise, Kevin & Vahidov, Rustam, 2008. "Application of machine learning techniques for supply chain demand forecasting," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1140-1154, February.
  25. Taher Ahmadi & Zümbül Atan & Ton Kok & Ivo Adan, 2020. "Time-based service constraints for inventory systems with commitment lead time," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 355-395, June.
  26. Saif Benjaafar & William L. Cooper & Setareh Mardan, 2011. "Production‐inventory systems with imperfect advance demand information and updating," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(2), pages 88-106, March.
  27. Kristianto, Yohanes & Helo, Petri & Jiao, Jianxin (Roger) & Sandhu, Maqsood, 2012. "Adaptive fuzzy vendor managed inventory control for mitigating the Bullwhip effect in supply chains," European Journal of Operational Research, Elsevier, vol. 216(2), pages 346-355.
  28. Fu-ren Lin & Shyh-ming Lin, 2006. "Enhancing the Supply Chain Performance by Integrating Simulated and Physical Agents into Organizational Information Systems," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 9(4), pages 1-1.
  29. Sarac, Aysegul & Absi, Nabil & Dauzère-Pérès, Stéphane, 2010. "A literature review on the impact of RFID technologies on supply chain management," International Journal of Production Economics, Elsevier, vol. 128(1), pages 77-95, November.
  30. Wang, Jiao & Liu, Zhibing & Zhao, Ruiqing, 2019. "On the interaction between asymmetric demand signal and forecast accuracy information," European Journal of Operational Research, Elsevier, vol. 277(3), pages 857-874.
  31. Arcan Nalca, & Tamer Boyaci, & Saibal Ray, 2017. "Consumer taste uncertainty in the context of store brand and national brand competition," ESMT Research Working Papers ESMT-17-01, ESMT European School of Management and Technology.
  32. Tan, Tarkan & Gullu, Refik & Erkip, Nesim, 2007. "Modelling imperfect advance demand information and analysis of optimal inventory policies," European Journal of Operational Research, Elsevier, vol. 177(2), pages 897-923, March.
  33. Danese, Pamela, 2013. "Supplier integration and company performance: A configurational view," Omega, Elsevier, vol. 41(6), pages 1029-1041.
  34. Rumeng Zhang & Lihong Li, 2023. "Research on Evolutionary Game and Simulation of Information Sharing in Prefabricated Building Supply Chain," Sustainability, MDPI, vol. 15(13), pages 1-24, June.
  35. Fernando Bernstein & Gregory A. DeCroix, 2015. "Advance Demand Information in a Multiproduct System," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 52-65, February.
  36. Julia Pahl & Stefan Voß & David Woodruff, 2007. "Production planning with load dependent lead times: an update of research," Annals of Operations Research, Springer, vol. 153(1), pages 297-345, September.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.