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On the Benefits of Collaborative Forecasting Partnerships Between Retailers and Manufacturers

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  1. Syam Menon & Abhijeet Ghoshal & Sumit Sarkar, 2022. "Modifying Transactional Databases to Hide Sensitive Association Rules," Information Systems Research, INFORMS, vol. 33(1), pages 152-178, March.
  2. Isaksson, Olov H.D. & Seifert, Ralf W., 2016. "Quantifying the bullwhip effect using two-echelon data: A cross-industry empirical investigation," International Journal of Production Economics, Elsevier, vol. 171(P3), pages 311-320.
  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. Ramanathan, Usha & He, Qile & Subramanian, Nachiappan & Gunasekaran, Angappa & Sarpong, David, 2023. "Collaborative closed-loop supply chain framework for sustainable manufacturing: Evidence from the Indian packaging industry," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
  6. Robert N. Boute & Stephen M. Disney & Joren Gijsbrechts & Jan A. Van Mieghem, 2022. "Dual Sourcing and Smoothing Under Nonstationary Demand Time Series: Reshoring with SpeedFactories," Management Science, INFORMS, vol. 68(2), pages 1039-1057, February.
  7. Karimi, Majid & Zaerpour, Nima, 2022. "Put your money where your forecast is: Supply chain collaborative forecasting with cost-function-based prediction markets," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1035-1049.
  8. Xiaodan Zhu & Anh Ninh & Hui Zhao & Zhenming Liu, 2021. "Demand Forecasting with Supply‐Chain Information and Machine Learning: Evidence in the Pharmaceutical Industry," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3231-3252, September.
  9. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
  10. Sari, Kazim, 2008. "On the benefits of CPFR and VMI: A comparative simulation study," International Journal of Production Economics, Elsevier, vol. 113(2), pages 575-586, June.
  11. Sang-Hyun Kim & Serguei Netessine, 2013. "Collaborative Cost Reduction and Component Procurement Under Information Asymmetry," Management Science, INFORMS, vol. 59(1), pages 189-206, November.
  12. 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.
  13. Gonçalves, Carla & Bessa, Ricardo J. & Pinson, Pierre, 2021. "A critical overview of privacy-preserving approaches for collaborative forecasting," International Journal of Forecasting, Elsevier, vol. 37(1), pages 322-342.
  14. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
  15. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael & Önkal, Dilek, 2019. "Judgmental adjustments through supply integration for strategic partnerships in food chains," Omega, Elsevier, vol. 87(C), pages 20-33.
  16. Ye Shi & Layth C. Alwan & Srinivasan Raghunathan & Yugang Yu & Xiaohang Yue, 2021. "Mobile Consumer Scanning Technology: A Replacement for Interorganizational Information Systems for Demand Information Learning in Supply Chains?," Information Systems Research, INFORMS, vol. 32(4), pages 1431-1449, December.
  17. Gao, Long, 2015. "Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management," European Journal of Operational Research, Elsevier, vol. 245(1), pages 133-145.
  18. Weidong Zhang & Fuqiang Wang, 2022. "Information Sharing in Competing Supply Chains with Carbon Emissions Reduction Incentives," Sustainability, MDPI, vol. 14(20), pages 1-25, October.
  19. Nikolai Stein & Jan Meller & Christoph M. Flath, 2018. "Big data on the shop-floor: sensor-based decision-support for manual processes," Journal of Business Economics, Springer, vol. 88(5), pages 593-616, July.
  20. Ramanathan, Usha & Muyldermans, Luc, 2010. "Identifying demand factors for promotional planning and forecasting: A case of a soft drink company in the UK," International Journal of Production Economics, Elsevier, vol. 128(2), pages 538-545, December.
  21. Hill, Craig A. & Zhang, G. Peter & Miller, Keith E., 2018. "Collaborative planning, forecasting, and replenishment & firm performance: An empirical evaluation," International Journal of Production Economics, Elsevier, vol. 196(C), pages 12-23.
  22. Kovtun, Vladimir & Giloni, Avi & Hurvich, Clifford, 2019. "The value of sharing disaggregated information in supply chains," European Journal of Operational Research, Elsevier, vol. 277(2), pages 469-478.
  23. Ramanathan, Usha & Gunasekaran, Angappa, 2014. "Supply chain collaboration: Impact of success in long-term partnerships," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 252-259.
  24. 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.
  25. Marc Bollecker & Wilfrid Azan, 2008. "Les frontières de la recherche en contrôle de gestion : une analyse des cadres théoriques mobilisés," Post-Print halshs-00522395, HAL.
  26. Gunasekaran, Angappa & Ngai, Eric W.T., 2009. "Modeling and analysis of build-to-order supply chains," European Journal of Operational Research, Elsevier, vol. 195(2), pages 319-334, June.
  27. 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.
  28. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
  29. 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.
  30. Frederik Möller & Ilka Jussen & Virginia Springer & Anna Gieß & Julia Christina Schweihoff & Joshua Gelhaar & Tobias Guggenberger & Boris Otto, 2024. "Industrial data ecosystems and data spaces," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-17, December.
  31. Bharadwaj Kadiyala & Özalp Özer & Alain Bensoussan, 2020. "A Mechanism Design Approach to Vendor Managed Inventory," Management Science, INFORMS, vol. 66(6), pages 2628-2652, June.
  32. Li Chen & Wei Luo & Kevin Shang, 2017. "Measuring the Bullwhip Effect: Discrepancy and Alignment Between Information and Material Flows," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 36-51, February.
  33. Vladimir Kovtun & Avi Giloni & Clifford Hurvich, 2014. "Assessing the value of demand sharing in supply chains," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(7), pages 515-531, October.
  34. 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.
  35. Aditya Jain, 2022. "Sharing Demand Information with Retailer Under Upstream Competition," Management Science, INFORMS, vol. 68(7), pages 4983-5001, July.
  36. Leroy B. Schwarz & Hui Zhao, 2011. "The Unexpected Impact of Information Sharing on US Pharmaceutical Supply Chains," Interfaces, INFORMS, vol. 41(4), pages 354-364, August.
  37. Mümin Kurtuluş & Sezer Ülkü & Beril L. Toktay, 2012. "The Value of Collaborative Forecasting in Supply Chains," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 82-98, January.
  38. Wei Luo & Kevin H. Shang, 2019. "Technical Note—Managing Inventory for Firms with Trade Credit and Deficit Penalty," Operations Research, INFORMS, vol. 67(2), pages 468-478, March.
  39. Robert L. Bray & Haim Mendelson, 2015. "Production Smoothing and the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 208-220, May.
  40. QU, Zhan & RAFF, Horst, 2023. "Two-part tariffs, inventory stockpiling, and the bullwhip effect," European Journal of Operational Research, Elsevier, vol. 308(1), pages 201-214.
  41. Ramanathan, Usha, 2013. "Aligning supply chain collaboration using Analytic Hierarchy Process," Omega, Elsevier, vol. 41(2), pages 431-440.
  42. 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.
  43. Li, Tian & Zhang, Hongtao, 2015. "Information sharing in a supply chain with a make-to-stock manufacturer," Omega, Elsevier, vol. 50(C), pages 115-125.
  44. Kogan, Konstantin, 2012. "Ship-to-order supplies: Contract breachability and the impact of a manufacturer-owned direct channel," European Journal of Operational Research, Elsevier, vol. 218(1), pages 113-123.
  45. Graça, Paula & Camarinha-Matos, Luís M., 2017. "Performance indicators for collaborative business ecosystems — Literature review and trends," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 237-255.
  46. Felix Papier, 2016. "Supply Allocation Under Sequential Advance Demand Information," Operations Research, INFORMS, vol. 64(2), pages 341-361, April.
  47. Hofer, Christian & Barker, Jordan & Eroglu, Cuneyt, 2021. "Interorganizational imitation in supply chain relationships: The case of inventory leanness," International Journal of Production Economics, Elsevier, vol. 236(C).
  48. Cong Zhou & Weili Xia & Taiwen Feng & Jijiao Jiang & Qingsong He, 2020. "How environmental orientation influences firm performance: The missing link of green supply chain integration," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 685-696, July.
  49. Xie, Wenming & Jiang, Zhibin & Zhao, Yingxue & Hong, Junjie, 2014. "Capacity planning and allocation with multi-channel distribution," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 108-116.
  50. Seok, Hyesung & Nof, Shimon Y., 2014. "Dynamic coalition reformation for adaptive demand and capacity sharing," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 136-146.
  51. Minner, Stefan & Transchel, Sandra, 2017. "Order variability in perishable product supply chains," European Journal of Operational Research, Elsevier, vol. 260(1), pages 93-107.
  52. 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.
  53. Danese, Pamela, 2013. "Supplier integration and company performance: A configurational view," Omega, Elsevier, vol. 41(6), pages 1029-1041.
  54. Mervegül Kirci & Olov Isaksson & Ralf Seifert, 2022. "Managing Perishability in the Fruit and Vegetable Supply Chains," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
  55. Warburton, Roger D.H. & Hodgson, J.P.E. & Nielsen, E.H., 2014. "Exact solutions to the supply chain equations for arbitrary, time-dependent demands," International Journal of Production Economics, Elsevier, vol. 151(C), pages 195-205.
  56. Lucy Gongtao Chen & Srinagesh Gavirneni, 2010. "Using Scheduled Ordering to Improve the Performance of Distribution Supply Chains," Management Science, INFORMS, vol. 56(9), pages 1615-1632, September.
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