The analysis of bullwhip effect in supply chain based on hedging strategy compared with optimal order quantity strategy

Document Type : Article

Authors

1 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2 Fouman Faculty of Engineering, University of Tehran, Gilan, Iran

Abstract

The bullwhip effect is one of the most important problems in the supply chain management. It can cause large inefficiency in supply chain. Although there are many researches about bullwhip effect, few studies have investigated this phenomenon caused by product price fluctuation. In this paper we consider a two-period supply chain consisting of one supplier, one wholesaler and one retailer. The wholesale price may increase greatly in the beginning of second period. If this happens, a large number of end customers will go to purchase the product from retailer. For managing the end customers’ demands in the second period, we consider two ordering strategies available to the retailer including optimal order quantity strategy and hedging strategy with call option. For each strategy, we calculate the bullwhip effect ratio for two periods and compare the results. We found that the lower exercise price in hedging strategy compared with the wholesale price in the optimal order quantity strategy must not contribute to extra product purchase. The research provides new insights into how hedging strategy can reduce bullwhip effect.

Keywords

References

References:
1. Fiala, P. "Information sharing in supply chains", Omega, 33(5), pp. 419-423 (2005).
2. Derbel, M., Chabchoub, H., Hachicha, W., et al. "Measuring the impact of (s, S) ordering policy on the bullwhip effect by means of simulation optimization", Paper Presented at International Conference on Advanced Logistics and Transport (May 29-31, 2013).
3. Braz, A.C., Mello, A.M., Gomes, L.A.V., et al. "The bullwhip effect in closed-loop supply chains: A systematic literature review", Journal of Cleaner Production, 202, pp. 376-389 (2018).
4. Chatfield, D.C., Kim, J.G., Harrison, T.P., et al. "The bullwhip effect- impact of stochastic lead time, information quality and information sharing: A simulation study", Production and Operation Management, 13(4), pp. 340-353 (2004).
5. Sabbaghnia, A. and Razmi, J. "Tracing the impact of non-uniform forecasting methods on the severity of the bullwhip effect in two- and three- level supply chains", International Journal of Management Science and Engineering Management, 10(4), pp. 1-8 (2015).
6. Chen, F., Drezner, Z., Ryan, K., et al. "The bullwhip effect: managerial insights on the impact of forecasting and information on variability in a supply chain", Quantitative Models for Supply Chain Management, 17, pp. 417-439 (1999).
7. Lee, H.L., Padmanabhan, V., and Whang, S. "The bullwhip effect in supply chains", Sloan Management Review, 38(3), pp. 93-102 (1997).
8. Frank, R.H., Microeconomics and Behaviour, 7th Ed., p. 28, McGraw-Hill Irwin (2008).
9. Das, P.S., Microeconomics for Business, p. 47, SAGE Publication: India (2007).
10. Agarwal, S.K., Business Economics, pp. 41-43, New Delhi: S. Chand Publishing (2018).
11. Shou, B., Xiong, H., and Shen, Z. "Consumer panic buying and quota policy under supply disruptions". Working Paper. Hong Kong: City University of Hong Kong (2013).
12. Yuen, K.F., Wang, X., Ma, F., et al. "The psychological causes of panic buying following a health crisis", International Journal of Environmental Research and Public Health, 17(10), p. 3513 (2020).
13. Sterman, J. and Dogan, G. "I'm just stocking up before the hoarders get here. Behavioral causes of phantom ordering in supply chains", Journal of Operations Management, 39-40(1), pp. 6-22 (2015).
14. Ahn, H.S., Gumus, M., and Kaminsky, P. "Pricing and manufacturing decisions when demand is a function of prices in multiple periods", Operations Research, 55, pp. 1039-1057 (2007).
15. Chopra, S. and Meindl, P., Supply Chain Management, Strategy, Planning, and Operation, 6th Ed., p. 262,  Pearson (2016).
16. Rong, Y., Shen, Z.-J.M., and Snyder, L. "Pricing during disruptions a cause of reverse bullwhip effect", SSRN Electronic Journal (2009).https://ssrn.com/abstract=1374184.
17. Euronews "Panic buying 'toilet paper frenzy' in Taiwan", 2018 (Accessed April (2019), https://www. euronews.com/2018/02/28/panic-buying-toilet-paperfrenzy- in-taiwan.
18. Makui, A., Sadjadi, S.J., and Karampour, N. "The impact of bullwhip effect in highly volatile market", Journal of Industrial Engineering, University of Tehran, Special Issue, 45, pp. 95-102 (2011).
19. Dawn "Commodities: Panic buying on cotton market", 2019 (Accessed August 2019). https://www. dawn.com/news/1492972/commodities-panic-buyingon- cotton-market.
20. Star online "Panic buying and rumours of price increases blamed", 2008 (Accessed July 2019). https:// www.thestar.com.my/news/nation/2008/01/05/ panic-buying-and-rumours-of-price-increases-blamed.
21. Financial Times "Panic buying sends wheat price to new highs", 2007 (Accessed August 2019). https:// www.ft.com/content/33d9f882-450e-11dc-82f5 -0000779fd2ac.
22. ABC "Russian currency crisis: Consumers panic buy in fear of price hikes; PM moves to assure ministers", 2014 (Accessed August 2019). https:// www.abc. net.au/news/2014-12-18/russianspanic-buying -in-fear-of-price-hikes/5974620.
23. Goel, A. and Tanrisever, F. "Financial hedging and optimal procurement policies under correlated price and demand", Production and Operations Management, 26(10), pp. 1924-1945 (2017).
24. Gupta, S.L. "Financial derivatives: Theory, concepts and problems", PHI Learning Pvt. Ltd., 2n Edn., Dehli (2017).
25. Tekin, M. and Ozekici, S. "Mean-Variance newsvendor model with random supply and financial hedging", IIE Transactions, 47(9), pp. 910-928 (2014).
26. Halkos, G. and Tsirivis, A. "Energy commodities: a review of ptimal hedging strategies", Energies, 12(20), p. 3979 (2019).
27. Wan, N. and Chen, X. "Multiperiodic procurement problem with option contracts under inflation", Mathematical Problems in Engineering, 4, pp. 1-11 (2016).
28. Turcic, D., Kouvelis, D., and Bolandifar, E. "Hedging commodity procurement in a bilateral supply chain", Manufacturing & Service Operations Management, 17(2), pp. 221-235 (2015).
29. Trapero, J.R. and Pedregal, D.J. "A novel timevarying bullwhip effect metric: An application to promotional sales", International Journal of Production Economics, 182, pp. 465-471 (2016).
30. Moyaux, T. and McBurney, P. "Reduction of the bullwhip effect in supply chains through speculation", In Advances in Artificial Economics, Lecture Notes in Economics and Mathematical Systems, C. Bruun, Eds., 584, pp. 77-89 (2006).
31. Ozelkan, E.C. and Cakanyildirim, M. "Reverse bullwhip effect in pricing", European Journal of Operational Research, 192(1), pp. 302-312 (2009).
32. Bolarin, F.C., Frutos, A.G., and Lise, A. "Assessing the impact of prices  fluctuation on demand distortion whitin a multi-echelon supply chain", Traffic & Transportation, 23(2), pp. 131-140 (2011).
33. Su, Y. and Geunes, J. "Price promotions, operation cost, and profit in a two-stage supply chain", Omega, 40(6), pp. 891-905 (2012).
34. Ma, Y., Wang, N., Che, A., et al. "The bullwhip effect under different information sharing settings: a perspective on price-sensitive demand that incorporates price dynamics", International Journal of Production Research, 51(10), pp. 3085-3116 (2013).
35. Wang, N., Ma, Y., He, Z., et al. "The impact of consumer price forecasting behaviour on the bullwhip effect", International Journal of Production Research, 52(22), pp. 6642-6663 (2014).
36. Ma, Y., Wang, N., He, Z., et al. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands", European Journal of Operational Research, 243(3), pp. 815-825 (2014).
37. Ma, J. and Xie, L. "Study on the complexity pricing game and coordination of the duopoly air conditioner market with disturbance demand", Communications in Nonlinear Science and Numerical Simulation, 32, pp. 99-113 (2015).
38. Gao, D., Wang, N., He, Z., et al. "The bullwhip effect in an online retail supply chain: A perspective demand based on the price discount in E-commerce", IEEE Transactions on Engineering Management, 64(2), pp. 134-148 (2017).
39. Tai, P., Duc, T., and Buddhakulsomsiri, J. "Measure of bullwhip effect in supply chain with price-sensitive and correlated demand", Computers & Industrial Engineering, 127, pp. 408-419 (2018).
40. Gamasaee, R. and Fazel Zarandi, M.H. "Incorporating demand, orders, lead time, and pricing decisions for reducing bbullwhip effect in supply chains", Scientia Iranica, E, 25(3), pp. 1724-1749 (2018).
41. Adnan, Z. and Ozelkan, E. "Bullwhip effect in pricing under different supply chain game structures", Journal of Revenue and Pricing Management, Palgrave Millan, 18(5), pp. 393-404 (2019).
42. Zanddizari, M., Tavakkoli-Moghaddam, R., and Azaron, A. "Modeling stock-out loss and overstocking loss generated by bullwhip effect", Scientia Iranica, E, 26(3), pp. 1913-1924 (2019).
43. Feng, X., Rong, Y., Shen, Z., et al. "Pricing during disruptions: order variability versus profit", Decision Sciences, 53(4), pp. 646-680 (2022).
44. Qu, Z. and Raff, H. "Vertical contracts in supply chain and bullwhip effect", Published Online: Management Science, 67(6), pp. 3321-3984 (2020).
45. Allayannis, G., ihrig, J., and Weston, J.P. "Exchangerate hedging: Financial versus operational strategies", The American Economic Review, 91(2), pp. 391-395 (2001).
46. Carter, D.A., Rogers, D.A., and Simkins, B.J. "Does hedging affect firm value? Evidence from the US airline industry", Financial Management, 3(1), pp. 53- 86 (2006).
47. Bannai, M., Tomita, Y., Ishida, Y., et al. "Risk hedging against the fuel price  fluctuation in energy service business", Energy, 32(11), pp. 2051-2060 (2007).
48. Chen, J.H. and Lin, Z. "Developing an SVM based risk hedging prediction model for construction material suppliers", Automation in Construction, 19(6), pp. 702-708 (2010).
49. Treanor, S.D., Rogers, D.A., Carter, A.C., et al. "Exposure, hedging and value: New evidence from the U.S. airline industry", International Review of Financial Analysis, 34, pp. 200-211 (2014).
50. Brusset, X. and Bertrand, J. "Hedging weather risk and coordinating supply chains", Journal of Operations Management, 64(1), pp. 41-52 (2018).
51. Luo, J., Zhang, X., and Wang, C. "Using put option contracts in supply chains to manage demand and supply uncertainty", Industrial Management & Data Systems, 118(7), pp. 1477-1497 (2018).
52. Swidan, H. and Merkert, R. "The relative effect of operational hedging on airline operating costs", Transport Policy, 80, pp. 70-77 (2019).
53. Merkert, R. and Swidan, H. "Flying with(out) a safety net: Financial hedging in the airline industry", Transportation Research Part E: Logistics and Transportation Review, 127, pp. 206-219 (2019).
54. Alam, N. and Gupta, A. "Does hedging enhance firm value in good and bad times", International Journal of Accounting & Information Management, 26(1), pp. 132-152 (2018).
55. Kallapur, S. and Eldenburg, L. "Uncertainty, real options, and cost behaviour: Evidence from Washington state hospitals", Journal of Accounting Research, 43, pp. 735-752 (2005).
56. Borensztein, E., Jeanne, O., and Sandri, D. "Macrohedging for commodity exporters", Journal of Development Economics, 101, pp. 105-116 (2013).
57. Liu, Z., Chen, L., Li, L., et al. "Risk hedging in supply Chain: Option vs. price discount", International Journal of Production Economics, 151, pp. 112-120 (2014).
58. Tauser, J. and Cajka, R. "Hedging techniques in commodity risk management", Agricultural Economics- Czech, 60(4), pp. 174-182 (2014).
59. Yang, L., Ruihong, T., and Kebing, C. "Call, put and bidirectional option contracts in agriculture supply chains with sales effort", Applied Mathematical Modelling, 47, pp. 1-16 (2017).
60. Park, J.H., Kazaz, B., and Webster, S. "Risk mitigation of production hedging", Production and Operations Management, 26(7), pp. 1299-1314 (2017).
61. Kouvelis, P., Wu, X., and Xiao, Y. "Cash hedging in a supply chain", Management Science, 65(9), pp. 3449- 3947 (2018).
62. Kouvelis, P., Pang, Z., and Ding, Q. "Integrated commodity inventory management and financial hedging: A dynamic mean-variance analysis", Production and Operations Management, 27(6), pp. 1052-1073 (2018).
63. Liu, Z. and Wang, J. "Supply chain network equilibrium with strategic financial hedging using futures", European Journal of Operation Research, 272(1), pp. 962-978 (2018).
64. Hu, R., Xiao, Y., and Jiang, C. "Jet fuel hedging, operational fuel efficiency improvement and carbon tax", Transport Research Part B: Methodological, 116, pp. 103-123 (2018).
65. Hainaut, D. "Hedging of crop harvest with derivatives on temperature", Insurance: Mathematics and Economics, 84, pp. 98-114 (2019).
66. March, B., Zavanella, L., and Zanoni, S. "Joint economic lot size models with warehouse financing and financial contracts for hedging stocks under different coordination policies", Journal of Business Economics, 90, pp. 1147-1169 (2020).
67. Tsao, Y., Raj, P., and Yu., V. "Product substitution in different weights and brands considering customer segmentation and panic buying behaviour", Industrial Marketing Management, 77, pp. 209-220 (2019).
68. Ojha, D., Sahin, F., Shockley, J., et al. "Is there a performance trade off in managing order fulfilment and the bullwhip effect in supply chains? The role of information sharing and information type", International Journal of Production Economics, 208, pp. 529-543 (2019).
69. Raghunathan, S., Tang, C.S., and Yue, X. "Bullwhip effect of multiple products with interdependent product demands", International Series in Operations Research & Management Science, 276, pp. 145-161 (2019).
70. George, J. and Pillai, V.M. "Transfer function models of inventory policies and bullwhip quantification in supply chain", Procedia Technology, 25, pp. 1064-1071 (2016).
71. Chen, F., Drezner, Z., Ryan, K., et al. "Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times, and information", Management Science, 46(3), pp. 333-450 (2000).
72. Ozelkan, E.C. and Lim, C. "Conditions of reverse bullwhip effect in pricing for price-sensitive demand functions", Annals of Operations Research, Springer, 164(1), pp. 211-227 (2008).
Scientia Iranica
Volume 30, Issue 3
Transactions on Industrial Engineering (E)
May and June 2023
Pages 1180-1203

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