Pricing strategy and product substitution of bullwhip effect in dual parallel supply chain: aggravation or mitigation?
RAIRO. Operations Research, Tome 56 (2022) no. 4, pp. 2093-2114

The bullwhip effect affects not only the revenue of the retailer but also the revenue of the manufacture and weakens the performance of the whole supply chain. In this research, the bullwhip effect influenced by pricing strategy is studied for the first time in two parallel supply chains distributing price-sensitive and substitutable products. The analytical expression of bullwhip effect based on pricing strategy and product substitution is derived for the first time. The effects of pricing strategy and product substitution on the bullwhip effect are studied through simulation. The analytic results and the simulation results show that the bullwhip effect of the two parallel supply chains will be affected by lead time, product substitution rate, and pricing coefficient. The interesting finding is that the bullwhip effect can be efficiently alleviated by adopting a price strategy with many correlations and a small coefficient of autocorrelation.

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Accepté le :
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DOI : 10.1051/ro/2021180
Classification : 90B06, 91A80
Keywords: Product substitution, bullwhip effect, price process, price-sensitive demands
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     title = {Pricing strategy and product substitution of bullwhip effect in dual parallel supply chain: aggravation or mitigation?},
     journal = {RAIRO. Operations Research},
     pages = {2093--2114},
     year = {2022},
     publisher = {EDP-Sciences},
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     language = {en},
     url = {https://www.numdam.org/articles/10.1051/ro/2021180/}
}
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Ma, Junhai; Lou, Wandong; Wang, Zongxian. Pricing strategy and product substitution of bullwhip effect in dual parallel supply chain: aggravation or mitigation?. RAIRO. Operations Research, Tome 56 (2022) no. 4, pp. 2093-2114. doi: 10.1051/ro/2021180

[1] N. Alizadeh-Basban and A. A. Taleizadeh, A hybrid circular economy – game theoretical approach in a dual-channel green supply chain considering sale’s effort, delivery time, and hybrid remanufacturing. J. Cleaner Prod. 250 (2020) 119521. | DOI

[2] B. S. Bao, J. H. Ma and M. Goh, Short- and long-term repeated game behaviours of two parallel supply chains based on government subsidy in the vehicle market. Int. J. Prod. Res. 58 (2020) 7507–7530. | DOI

[3] A. K. Biswal, M. Jenamani and S. K. Kumar, Warehouse efficiency improvement using RFID in a humanitarian supply chain: implications for Indian food security system. Transp. Res. Part E: Logistics Transp. Rev. 109 (2018) 205–224. | DOI

[4] G. E. Box, G. M. Jenkins, G. C. Reinsel and G. M. Ljung, Time Series Analysis: Forecasting and Control. John Wiley & Sons (2015). | MR

[5] R. L. Bray, Y. O. Yao, Y. Duan and J. Huo, Ration gaming and the bullwhip effect. Oper. Res. 67 (2019) 453–467. | MR | Zbl

[6] F. Chen, Z. Drezner, J. K. Ryan and D. Simchi-Levi, Quantifying the bullwhip effect in a simple supply chain: the impact of forecasting, lead times, and information. Manage. Sci. 46 (2000) 436–443. | Zbl | DOI

[7] F. Chen, J. K. Ryan and D. Simchi-Levi, The impact of exponential smoothing forecasts on the bullwhip effect. Nav. Res. Logistics 47 (2000) 269–286. | MR | Zbl | DOI

[8] L. Chen, W. Luo and K. H. Shang, Measuring the bullwhip effect: discrepancy and alignment between information and material flows. Manuf. Serv. Oper. Manage. 19 (2017) 36–51. | DOI

[9] J. Cui, M. Zhao, X. Li, M. Parsafard and S. An, Reliable design of an integrated supply chain with expedited shipments under disruption risks. Transp. Res. Part E: Logistics Transp. Rev. 95 (2016) 143–163. | DOI

[10] K. J. Dooley, T. Yan, S. Mohan and M. Gopalakrishnan, Inventory management and the bullwhip effect during the 2007–2009 recession: evidence from the manufacturing sector. J. Supply Chain Manage. 46 (2010) 12–18.

[11] Y. Duan, Y. Yao and J. Huo, Bullwhip effect under substitute products. J. Oper. Manage. 36 (2015) 75–89. | DOI

[12] Y. Fang and B. Shou, Managing supply uncertainty under supply chain Cournot competition. Eur. J. Oper. Res. 243 (2015) 156–176. | MR | Zbl | DOI

[13] J. W. Forrester, Industrial Dynamics. Cambridge MA: Productivity Press (1961). | MR

[14] H. L. Lee, V. Padmanabhan and S. Whang, Information distortion in a supply chain: the bullwhip effect. Manage. Sci. 43 (1997) 546–558. | Zbl | DOI

[15] X. Li, L. Song and Z. Zhao, Quantifying the impact of demand substitution on the bullwhip effect in a supply chain. Logistics Res. 3 (2011) 221–232. | DOI

[16] M. Liu, E. Cao and C. K. Salifou, Pricing strategies of a dual-channel supply chain with risk aversion. Transp. Res. Part E: Logistics Transp. Rev. 90 (2016) 108–120. | DOI

[17] J. Ma and X. Ma, Measure of bullwhip effect considering the market competition between two retailers. Int. J. Prod. Res. 55 (2017) 313–326. | DOI

[18] Y. Ma, N. Wang, A. Che, Y. Huang and J. Xu, Bullwhip effect on product orders and inventory: a perspective of demand forecasting techniques. Int. J. Prod. Res. 51 (2013) 281–302. | DOI

[19] Y. Ma, N. Wang, A. Che and Y. H. J. Xu, Bullwhip effect under different information-sharing settings: a perspective on price-sensitive demand that incorporates price dynamics. Int. J. Prod. Res. 51 (2013) 3085–3116. | DOI

[20] Y. Ma, N. Wang, Z. He, J. Lu and H. Liang, Analysis of bullwhip effect in two parallel supply chains with interacting price-sensitive demands. Eur. J. Oper. Res. 243 (2015) 815–825. | MR | Zbl | DOI

[21] J. Ma and L. Sun, Complexity analysis about nonlinear mixed oligopolies game based on production cooperation. IEEE Trans. Cntr. Sys. Tech. 26 (2018) 1532–1539. | DOI

[22] J. Ma, W. Lou and Y. Tian, Bullwhip effect and complexity analysis in a multi-channel supply chain considering price game with discount sensitivity. Int. J. Prod. Econ. 57 (2019) 5432–5452. | DOI

[23] J. H. Ma, Y. M. Hou, Z. X. Wang and W. H. Yang, Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction. Energy Policy 148 (2021) 111919. | DOI

[24] C. H. Nagaraja and T. Mcelroy, The multivariate bullwhip effect. Eur. J. Oper. Res. 267 (2017) 96–106. | MR | Zbl | DOI

[25] M. M. Naim, V. L. Spiegler, J. Wikner and D. R. Towill, Identifying the causes of the bullwhip effect by exploiting control block diagram manipulation with analogical reasoning. Eur. J. Oper. Res. 263 (2017) 240–246. | DOI

[26] E. C. Ozelkan, C. Lim and Z. H. Adnan, Conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing. Int. J. Prod. Econ. 200 (2018) 207–223. | DOI

[27] E. Pastore, A. Alfieri, G. Zotteri and J. E. Boylan, The impact of demand parameter uncertainty on the bullwhip effect. Eur. J. Oper. Res. 283 (2020) 94–107. | MR | Zbl | DOI

[28] B. Ponte, J. Costas, J. Puche, R. Pino and D. De La Fuente, The value of lead time reduction and stabilization: a comparison between traditional and collaborative supply chains. Transp. Res. Part E: Logistics Transp. Rev. 111 (2018) 165–185. | DOI

[29] B. Ponte, J. M. Framinan, S. Cannella and R. Dominguez, Quantifying the Bullwhip Effect in closed-loop supply chains: the interplay of information transparencies, return rates, and lead times. Int. J. Prod. Econ. 230 (2020) 107798. | DOI

[30] S. Rezapour, J. K. Allen and F. Mistree, Uncertainty propagation in a supply chain or supply network. Transp. Res. Part E: Logistics Transp. Rev. 73 (2015) 185–206. | DOI

[31] A. Sadeghi, Providing a measure for bullwhip effect in a two-product supply chain with exponential smoothing forecasts. Int. J. Prod. Econ. 169 (2015) 44–54. | DOI

[32] E. M. Tachizawa and C. Y. Wong, The performance of green supply chain management governance mechanisms: a supply network and complexity perspective. J. Supply Chain Manage. 51 (2015) 18–32. | DOI

[33] A. A. Taleizadeh and R. Sadeghi, Pricing strategies in the competitive reverse supply chains with traditional and e-channels: a game theoretic approach. Int. J. Prod. Econ. 215 (2019) 48–60. | DOI

[34] A. A. Taleizadeh, E. Sane-Zerang and T. M. Choi, The effect of marketing effort on dual-channel closed-loop supply chain systems. IEEE Trans. Syst. Man Cybern. Syst. 48 (2016) 265–276. | DOI

[35] A. A. Taleizadeh, F. Akhavizadegan and J. Ansarifar, Pricing and quality level decisions of substitutable products in online and traditional selling channels: game-theoretical approaches. Int. Trans. Oper. Res. 26 (2019) 1718–1751. | MR | Zbl | DOI

[36] Y. Tian, J. Ma and L. Xie, Timo Koivumäki, Veikko Seppänen, Coordination and control of multichannel supply chain driven by consumers’ channel preference and sales effort. Chaos, Solitons & Fractals 132 (2020) 109576. | MR | DOI

[37] C. Vanovermeire and K. Sörensen, Integration of the cost allocation in the optimization of collaborative bundling. Transp. Res. Part E: Logistics Transp. Rev. 72 (2014) 125–143. | DOI

[38] X. Wang and S. M. Disney, Bullwhip effect: progress, trends and directions. Eur. J. Oper. Res. 250 (2015) 691–701. | MR | Zbl | DOI

[39] L. Xie, J. H. Ma and M. Goh, Supply chain coordination in the presence of uncertain yield and demand. Int. J. Prod. Res. 59 (2020) 4342–4358. | DOI

[40] M. Ye and G. Hu, Game design and analysis for price-based demand response: an aggregate game approach. IEEE Trans. Syst. Man Cybern. 47 (2017) 720–730.

[41] M. Zhu, X. Li, J. Ma et al., Study on Complex Dynamics for the Waste Electrical and Electronic Equipment Recycling Activities Oligarchs Closed loop Supply Chain, Environmental Science and Pollution Research 8 (2021) 9976157.

[42] M. Zhu, X. Li, et al., Dynamic Evolutionary Games and Coordination of Multiple Recycling Channels considering Online Recovery Platform, Discrete Dynamics in Nature and Society (2021) 9976157. | MR | Zbl

[43] J. Zou, L. Huang, X. Gao and H. Xiong, Joint pricing and decision-making for heterogeneous user demand in cognitive radio networks. IEEE Trans. Syst. Man Cybern. 49 (2019) 3873–3886.

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