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On bullwhip in supply chains--historical review, present practice and expected future impact

Citations

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Cited by:

  1. Zhao, Jianyu & He, Tong & Xi, Xi & Li, Wen Helena & Liu, Wei, 2025. "Geographic proximity and supply chain Resilience: Unravelling their complex dynamics in the digital age," Technovation, Elsevier, vol. 148(C).
  2. Hejn Nielsen, Erland, 2013. "Small sample uncertainty aspects in relation to bullwhip effect measurement," International Journal of Production Economics, Elsevier, vol. 146(2), pages 543-549.
  3. Linnéusson, Gary & Ng, Amos H.C. & Aslam, Tehseen, 2020. "A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance," European Journal of Operational Research, Elsevier, vol. 281(2), pages 402-414.
  4. Pamela S. Donovan & Ila Manuj, 2015. "A Comprehensive Theoretical Model of the Complex Strategic Demand Management Process," Transportation Journal, John Wiley & Sons, vol. 54(2), pages 213-239, April.
  5. Ahmed Musa & Al-Amin Abba Dabo, 2016. "A Review of RFID in Supply Chain Management: 2000–2015," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(2), pages 189-228, June.
  6. Dobos, Imre, 2011. "The analysis of bullwhip effect in a HMMS-type supply chain," International Journal of Production Economics, Elsevier, vol. 131(1), pages 250-256, May.
  7. Aggelogiannaki, Eleni & Doganis, Philip & Sarimveis, Haralambos, 2008. "An adaptive model predictive control configuration for production-inventory systems," International Journal of Production Economics, Elsevier, vol. 114(1), pages 165-178, July.
  8. 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.
  9. Jing Li & Chien-Wen Chen & Chi-Hui Wu & Hsing-Chun Hung & Ching-Torng Lin, 2020. "How do Partners Benefit from IT Use in Supply-Chain Management: An Empirical Study of Taiwan’s Bicycle Industry," Sustainability, MDPI, vol. 12(7), pages 1-24, April.
  10. Yan, Xi Steven & Robb, David J. & Silver, Edward A., 2009. "Inventory performance under pack size constraints and spatially-correlated demand," International Journal of Production Economics, Elsevier, vol. 117(2), pages 330-337, February.
  11. Prajogo, Daniel & Olhager, Jan, 2012. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, Elsevier, vol. 135(1), pages 514-522.
  12. Stratton, Roy & Warburton, Roger D.H., 2006. "Managing the trade-off implications of global supply," International Journal of Production Economics, Elsevier, vol. 103(2), pages 667-679, October.
  13. Adenso-Díaz, Belarmino & Moreno, Plácido & Gutiérrez, Ester & Lozano, Sebastián, 2012. "An analysis of the main factors affecting bullwhip in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 135(2), pages 917-928.
  14. Zhu, Tianyuan & Balakrishnan, Jaydeep & da Silveira, Giovani J.C., 2020. "Bullwhip effect in the oil and gas supply chain: A multiple-case study," International Journal of Production Economics, Elsevier, vol. 224(C).
  15. Gary, Linnéusson & Amos, Ng H.C. & Tehseen, Aslam, 2018. "Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry," International Journal of Production Economics, Elsevier, vol. 200(C), pages 151-169.
  16. Chou, Yon-Chun & Cheng, C.-T. & Yang, Feng-Cheng & Liang, Yi-Yu, 2007. "Evaluating alternative capacity strategies in semiconductor manufacturing under uncertain demand and price scenarios," International Journal of Production Economics, Elsevier, vol. 105(2), pages 591-606, February.
  17. Xu, Henry & Koh, Lenny & Parker, David, 2009. "Business processes inter-operation for supply network co-ordination," International Journal of Production Economics, Elsevier, vol. 122(1), pages 188-199, November.
  18. de Lima, Daruichi Pereira & Fioriolli, José Carlos & Padula, Antonio Domingos & Pumi, Guilherme, 2018. "The impact of Chinese imports of soybean on port infrastructure in Brazil: A study based on the concept of the “Bullwhip Effect”," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 55-76.
  19. Martina BOBALOVA & Veronika NOVOTNA, 2021. "Modeling Of Time Delayed Processes In Business Economics," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 79-89, November.
  20. Trapero, Juan R. & Kourentzes, N. & Fildes, R., 2012. "Impact of information exchange on supplier forecasting performance," Omega, Elsevier, vol. 40(6), pages 738-747.
  21. Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2015. "On returns and network configuration in supply chain dynamics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 152-167.
  22. T. Saikouk & I. Zouaghi & A. Spalanzani, 2011. "Mitigating Supply Chain System Entropy by the Implementation of RFID," Post-Print halshs-00665653, HAL.
  23. Yang, Y. & Lin, J. & Liu, G. & Zhou, L., 2021. "The behavioural causes of bullwhip effect in supply chains: A systematic literature review," International Journal of Production Economics, Elsevier, vol. 236(C).
  24. 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.
  25. Qian, Zishun & Yan, Tingting & Li, Jianbin, 2025. "Process innovation similarity with suppliers and bullwhip effect," International Journal of Production Economics, Elsevier, vol. 289(C).
  26. Janusz Grabara & Marta Starostka-Patyk, 2009. "The Bullwhip Effect In Supply Chain," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 3(1), pages 127-133, December.
  27. Ancarani, A. & Di Mauro, C. & D'Urso, D., 2013. "A human experiment on inventory decisions under supply uncertainty," International Journal of Production Economics, Elsevier, vol. 142(1), pages 61-73.
  28. Wang, Xun & Disney, Stephen M. & Wang, Jing, 2014. "Exploring the oscillatory dynamics of a forbidden returns inventory system," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 3-12.
  29. Caloiero, Giuliano & Strozzi, Fernanda & Zaldívar Comenges, José-Manuel, 2008. "A supply chain as a series of filters or amplifiers of the bullwhip effect," International Journal of Production Economics, Elsevier, vol. 114(2), pages 631-645, August.
  30. Cannella, Salvatore & Framinan, Jose M. & Bruccoleri, Manfredi & Barbosa-Póvoa, Ana Paula & Relvas, Susana, 2015. "The effect of Inventory Record Inaccuracy in Information Exchange Supply Chains," European Journal of Operational Research, Elsevier, vol. 243(1), pages 120-129.
  31. 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.
  32. Chiang, Chung-Yean & Lin, Winston T. & Suresh, Nallan C., 2016. "An empirically-simulated investigation of the impact of demand forecasting on the bullwhip effect: Evidence from U.S. auto industry," International Journal of Production Economics, Elsevier, vol. 177(C), pages 53-65.
  33. Cruz Jr., Jose B. & Tan, Raymond R. & Culaba, Alvin B. & Ballacillo, Jo-Anne, 2009. "A dynamic input-output model for nascent bioenergy supply chains," Applied Energy, Elsevier, vol. 86(Supplemen), pages 86-94, November.
  34. Ya-Cing Jhan & Pin Luarn & Hong-Wen Lin, 2022. "Individual Differences in Digital Game-Based Supply Chains Management Learning: Evidence from Higher Vocational Education in Taiwan," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
  35. Florian Klug, 2022. "Modelling oscillations in the supply chain: the case of a just-in-sequence supply process from the automotive industry," Journal of Business Economics, Springer, vol. 92(1), pages 85-113, January.
  36. Afshin Oroojlooyjadid & MohammadReza Nazari & Lawrence V. Snyder & Martin Takáč, 2022. "A Deep Q-Network for the Beer Game: Deep Reinforcement Learning for Inventory Optimization," Manufacturing & Service Operations Management, INFORMS, vol. 24(1), pages 285-304, January.
  37. Wen, Naijun & Graves, Stephen C. & Justin Ren, Z., 2012. "Ship-pack optimization in a two-echelon distribution system," European Journal of Operational Research, Elsevier, vol. 220(3), pages 777-785.
  38. Vié, Marie-Sklaerder & Zufferey, Nicolas & Coelho, Leandro C., 2025. "A production and distribution scheduling matheuristic for reducing supply chain variations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
  39. Ponte, Borja & Costas, José & Puche, Julio & Pino, Raúl & de la Fuente, David, 2018. "The value of lead time reduction and stabilization: A comparison between traditional and collaborative supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 165-185.
  40. Schnetzler, Matthias J. & Sennheiser, Andreas & Schonsleben, Paul, 2007. "A decomposition-based approach for the development of a supply chain strategy," International Journal of Production Economics, Elsevier, vol. 105(1), pages 21-42, January.
  41. Hameri, Ari-Pekka, 2011. "Production flow analysis--Cases from manufacturing and service industry," International Journal of Production Economics, Elsevier, vol. 129(2), pages 233-241, February.
  42. Fakhrul Hasan & Mary Fiona Ross Bellenstedt & Mohammad Raijul Islam, 2023. "Demand and Supply Disruptions During the Covid-19 Crisis on Firm Productivity," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 87-105, March.
  43. 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.
  44. repec:ine:journl:v:28:y:2009:i:37:p:54-71 is not listed on IDEAS
  45. Trapero, Juan R. & Pedregal, Diego J., 2016. "A novel time-varying bullwhip effect metric: An application to promotional sales," International Journal of Production Economics, Elsevier, vol. 182(C), pages 465-471.
  46. Ciancimino, Elena & Cannella, Salvatore & Canca Ortiz, José David & Framiñán Torres, José Manuel, 2009. "Análisis multinivel de cadenas de suministros: dos técnicas de resolución del efecto bullwhip // Supply Chain Multi-level Analysis: Two Bullwhip Dampening Approaches," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 8(1), pages 7-28, December.
  47. Alfnes, Erlend & Gosling, Jonathan & Naim, Mohamed & Dreyer, Heidi C., 2023. "Rearticulating supply chain design and operation principles to mitigate uncertainty in the Norwegian engineer-to-order shipbuilding sector," International Journal of Production Economics, Elsevier, vol. 262(C).
  48. Sucky, Eric, 2009. "The bullwhip effect in supply chains--An overestimated problem?," International Journal of Production Economics, Elsevier, vol. 118(1), pages 311-322, March.
  49. Whicker, L. & Bernon, M. & Templar, S. & Mena, C., 2009. "Understanding the relationships between time and cost to improve supply chain performance," International Journal of Production Economics, Elsevier, vol. 121(2), pages 641-650, October.
  50. K. Devika & A. Jafarian & A. Hassanzadeh & R. Khodaverdi, 2016. "Optimizing of bullwhip effect and net stock amplification in three-echelon supply chains using evolutionary multi-objective metaheuristics," Annals of Operations Research, Springer, vol. 242(2), pages 457-487, July.
  51. Bivin, David, 2013. "Production chains and aggregate output volatility," International Journal of Production Economics, Elsevier, vol. 145(2), pages 807-816.
  52. Hill, Alex & Doran, Des & Stratton, Roy, 2012. "How should you stabilise your supply chains?," International Journal of Production Economics, Elsevier, vol. 135(2), pages 870-881.
  53. Carlos E. Lopez-Landeros & Ricardo Valenzuela-Gonzalez & Elias Olivares-Benitez, 2024. "Dynamic Optimization of a Supply Chain Operation Model with Multiple Products," Mathematics, MDPI, vol. 12(15), pages 1-23, August.
  54. Zbigniew Michna & Peter Nielsen, 2013. "The impact of lead time forecasting on the bullwhip effect," Papers 1309.7374, arXiv.org, revised Jul 2015.
  55. Bottani, Eleonora & Montanari, Roberto & Volpi, Andrea, 2010. "The impact of RFID and EPC network on the bullwhip effect in the Italian FMCG supply chain," International Journal of Production Economics, Elsevier, vol. 124(2), pages 426-432, April.
  56. Zhou, Li & Disney, Stephen & Towill, Denis R., 2010. "A pragmatic approach to the design of bullwhip controllers," International Journal of Production Economics, Elsevier, vol. 128(2), pages 556-568, December.
  57. Carole Camisullis & Vincent Giard & Gisele Mendy-Bilek, 2011. "Information to share in supply chains dedicated to the mass production of customized products for decentralized management," Working Papers hal-00876865, HAL.
  58. Bayraktar, Erkan & Lenny Koh, S.C. & Gunasekaran, A. & Sari, Kazim & Tatoglu, Ekrem, 2008. "The role of forecasting on bullwhip effect for E-SCM applications," International Journal of Production Economics, Elsevier, vol. 113(1), pages 193-204, May.
  59. 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.
  60. Cannella, Salvatore & Bruccoleri, Manfredi & Framinan, Jose M., 2016. "Closed-loop supply chains: What reverse logistics factors influence performance?," International Journal of Production Economics, Elsevier, vol. 175(C), pages 35-49.
  61. Wu, Y. & Zhang, D.Z., 2007. "Demand fluctuation and chaotic behaviour by interaction between customers and suppliers," International Journal of Production Economics, Elsevier, vol. 107(1), pages 250-259, May.
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