Automotive supply chain with government intervention: A game theory approach

Document Type : Research Paper

Authors

1 Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Management, Faculty of Administrative Sciences and Economics, University of Isfahan, Isfahan, Iran

3 Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran

Abstract

The automotive industry is one of the most competitive industries globally. Hence, a proper pricing policy is vital to be able to compete. This paper develops an automotive supply chain consisting of one manufacturer and one retailer, with two types of one product (Basic and Premium). The Premium type of the product is equipped with extra features and technologies to convince customers to purchase it at a higher price, while the Basic one without these features is sold at a lower price. Furthermore, the manufacturer is intervened by the government regulations which results in receiving subsidies or paying taxes. This paper develops a mathematical model to maximize profit in both centralized and decentralized systems. The model examines the effects of feature and technology level, as well as advertisement on vehicle pricing. To examine the proposed approach and model, several numerical examples are applied. The results reveal that the model can increase the manufacturer's profit by considering the government benefits, as well as the retailer’s profit. Finally, some managerial implications are developed by a sensitivity analysis of the main parameters.

Keywords

Main Subjects


Al-Doori, J.A., (2019). The impact of supply chain collaboration on performance in the automotive industry: Empirical evidence. Journal of Industrial Engineering and Management, 12(2), pp.241-253. https://doi.org/10.3926/jiem.2835.
 
Bai, Q.G., Xu, X.H., Chen, M.Y. and Luo, Q., (2015). A two-echelon supply chain coordination for deteriorating items with a multi-variable continuous demand function. International Journal of Systems Science: Operations & Logistics, 2(1), pp.49-62. https://doi.org/10.1080/23302674.2014.998314.
 
Bai, Q., Chen, M. and Xu, L., (2017). Revenue and promotional cost-sharing contract versus two-part tariff contract in coordinating sustainable supply chain systems with deteriorating items. International Journal of Production Economics, 187, pp.85-101. https://doi.org/10.1016/j.ijpe.2017.02.012.
 
Biller, S., Chan, L.M.A., Simchi-Levi, D. and Swann, J., (2005). Dynamic pricing and the direct-to-customer model in the automotive industry. Electronic Commerce Research, 5(2), pp.309-334. https://doi.org/10.1007/s10660-005-6161-4.
 
Cachon, G.P., (2003). Supply chain coordination with contracts. Handbooks in operations research and management science, 11, pp.227-339. https://doi.org/10.1016/S0927-0507(03)11006-7.
 
Clancy, K.J. and Shulman, R.S., (1993). Marketing with blinders on. Across the Board, 30, pp.33-33.
 
Dahiya, R. and Gayatri, (2018). A research paper on digital marketing communication and consumer buying decision process: An empirical study in the Indian passenger car market. Journal of Global Marketing, 31(2), pp.73-95. https://doi.org /10.1080/08911762.2017.1365991.
 
Fander, A. and Yaghoubi, S., (2021). Impact of fuel-efficient technology on automotive and fuel supply chain under government intervention: A case study. Applied Mathematical Modelling, 97, pp.771-802. https://doi.org/10.1016/j.apm.2021.04.013.
 
Fang, Y., Wang, X. and Yan, J., (2020). Green product pricing and order strategies in a supply chain under demand forecasting. Sustainability, 12(2), p.713. https://doi.org/10.3390/su12020713.
 
Giri, B.C., and Bardhan, S., (2017). Sub-supply chain coordination in a three-layer chain under demand uncertainty and random yield in production. International Journal of Production Economics, 191, pp.66-73. https://doi.org/10.1016/j.ijpe.2017.04.012.
 
Giri, R.N., Mondal, S.K. and Maiti, M., (2019). Government intervention on a competing supply chain with two green manufacturers and a retailer. Computers & Industrial Engineering, 128, pp.104-121. https://doi.org/10.1016/j.cie.2018.12.030.
 
Günther, H.O., Kannegiesser, M. and Autenrieb, N., (2015). The role of electric vehicles for supply chain sustainability in the automotive industry. Journal of Cleaner Production, 90, pp.220-233. https://doi.org/10.1016/j.jclepro.2014.11.058.
 
Gupta, S., (2013). Volkswagen in India (p. 33). Bangalore: Indian Institute of Management.
 
Hadi, T., Chaharsooghi, S.K., Sheikhmohammady, M. and Hafezalkotob, A., (2020). Pricing strategy for a green supply chain with hybrid production modes under government intervention. Journal of Cleaner Production, 268, p.121945. https://doi.org/10.1016/j.jclepro.2020.121945.
 
Hafezalkotob, A., (2015). Competition of two green and regular supply chains under environmental protection and revenue-seeking policies of the government. Computers & Industrial Engineering, 82, pp.103-114. https://doi.org/10.1016/j.cie.2015.01.016.
Honarvar, M., Alimohammadi Ardakani, M. and Modarres, M., (2020). A Particle Swarm Optimization Algorithm for Solving Pricing and Lead Time Quotation in a Dual-Channel Supply Chain with Multiple Customer Classes. Advances in Operations Research, 2020. https://doi.org/10.1155/2020/5917126.
 
Hsieh, C.C., Chang, Y.L. and Wu, C.H., (2014). Competitive pricing and ordering decisions in a multiple-channel supply chain. International Journal of Production Economics, 154, pp.156-165. https://doi.org/10.1016/j.ijpe.2014.04.024.
 
Huang, Y. and Huang, G.Q., (2010). Price coordination in a three-level supply chain with different channel structures using a game-theoretic approach. International Journal of Management Science and Engineering Management, 5(2), pp.83-94. https://doi.org/10.1080/17509653.2010.10671095.
 
Li, X. and Li, Y., (2022). NEV’s Supply Chain Coordination with Financial Constraint and Demand Uncertainty. Sustainability, 14(3), p.1114.
 
Lu, T., Yao, E., Jin, F. and Pan, L., (2020). Alternative incentive policies against purchase subsidy decrease for Battery Electric Vehicle (BEV) adoption. Energies, 13(7), p.1645.
 
Ma, J., Hou, Y., Wang, Z. and Yang, W., (2021). Pricing strategy and coordination of automobile manufacturers based on government intervention and carbon emission reduction. Energy Policy, 148, p.111919. Energy Policy 148 111919. https://doi.org/10.1016/j.enpol.2020.111919.
 
Mahmoudi, R. and Rasti-Barzoki, M., (2018). Sustainable supply chains under government intervention with a real-world case study: An evolutionary game theoretic approach. Computers & Industrial Engineering, 116, pp.130-143. https://doi.org/10.1016/j.cie.2017.12.028.
 
Mahmoudi, A., Govindan, K., Shishebori, D. and Mahmoudi, R., (2021). Product pricing problem in green and non-green multi-channel supply chains under government intervention and in the presence of third-party logistics companies. Computers & Industrial Engineering, 159, p.107490. https://doi.org/10.1016/j.cie.2021.107490.
 
Mirzapour Al-E-Hashem, S.M.J., Malekly, H. and Aryanezhad, M.B., (2011). A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty. International Journal of Production Economics, 134(1), pp.28-42. https://doi.org/10.1016/j.ijpe.2011.01.027.
 
Modak, N.M. and Kelle, P., (2019). Managing a dual-channel supply chain under price and delivery-time dependent stochastic demand. European Journal of Operational Research, 272(1), pp.147-161. https://doi.org/10.1016/j.ejor.2018.05.067.
 
Murry, C., (2017). Advertising in vertical relationships: An equilibrium model of the automobile industry. Available at SSRN 2549247.
 
Olugu, E.U., and Wong, K.Y., (2012). An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Systems with Applications, 39(1), pp.375-384. https://doi.org/10.1016/j.eswa.2011.07.026.
 
Pedros-Perez, G., Martínez-Jiménez, P. and Aparicio-Martinez, P., (2019). The potential of car advertising in pursuing transport policy goals: Code of good practices in the Spanish context. Transportation Research Part D: Transport and Environment, 72, pp.312-332. https://doi.org/10.1016/j.trd.2019.05.010.
 
Pezeshki, Y., Baboli, A. and Akbari Jokar, M.R., (2013). Simultaneous coordination of capacity building and price decisions in a decentralized supply chain. The International Journal of Advanced Manufacturing Technology, 64(5), pp.961-976.
 
Qi, Q., Wang, J. and Bai, Q., (2017). Pricing decision of a two-echelon supply chain with one supplier and two retailers under a carbon cap regulation. Journal of Cleaner Production, 151, pp.286-302. https://doi.org/10.1016/j.jclepro.2017.03.011.
 
Qing, Q., Deng, T. and Wang, H., (2017). Capacity allocation under downstream competition and bargaining. European Journal of Operational Research, 261(1), pp.97-107. https://doi.org/10.1016/j.ejor.2017.01.031.
 
Qu, X. and Williams, J.A.S., (2008). An analytical model for reverse automotive production planning and pricing. European Journal of Operational Research, 190(3), pp.756-767. https://doi.org/10.1016/j.ejor.2007.06.041.
 
Rasti-Barzoki, M. and Moon, I., (2020). A game theoretic approach for car pricing and its energy efficiency level versus governmental sustainability goals by considering rebound effect: A case study of South Korea. Applied Energy, 271, p.115196. https://doi.org/10.1016/j.apenergy.2020.115196.
 
Raza, S.A. and Govindaluri, S.M., (2022). Pricing and market segmentation coordination in a push-pull supply chain with sequentially observed demand. Computers & Industrial Engineering, 164, p.107882. https://doi.org/10.1016/j.cie.2021.107882.
 
Salehi, H., Taleizadeh, A.A., Tavakkoli-Moghaddam, R. and Hafezalkotob, A., (2020). Pricing and market segmentation in an uncertain supply chain. Sādhanā, 45(1), pp.1-17.
 
Sinayi, M. and Rasti-Barzoki, M., (2018). A game theoretic approach for pricing, greening, and social welfare policies in a supply chain with government intervention. Journal of Cleaner Production, 196, pp.1443-1458. https://doi.org/10.1016/j.jclepro.2018.05.212.
 
Tybout, A.M. and Fahey, N., (2017). Marketing the Nissan Micra and Tata Nano Using Social Media. Kellogg School of Management Cases. https://doi.org/10.1108/case.kellogg.2016.000190.
 
Usman, Y.C. and Daniel, C.O., (2020). Impact of Government Policies on the Development of Automotive Industry in Nigeria. https://doi.org/10.9790/487X-2206030106.
 
Vanalle, R.M., Ganga, G.M.D., Godinho Filho, M. and Lucato, W.C., (2017). Green supply chain management: An investigation of pressures, practices, and performance within the Brazilian automotive supply chain. Journal of cleaner production, 151, pp.250-259. https://doi.org/10.1016/j.jclepro.2017.03.066.
 
Venegas, B.B. and Ventura, J.A., (2018). A two-stage supply chain coordination mechanism considering price-sensitive demand and quantity discounts. European Journal of Operational Research, 264(2), pp.524-533. https://doi.org/10.1016/j.ejor.2017.06.030.
 
Wang, L. and Song, Q., (2020). Pricing policies for dual-channel supply chain with green investment and sales effort under uncertain demand. Mathematics and Computers in Simulation, 171, pp.79-93. https://doi.org/10.1016/j.matcom.2019.08.010.
 
Wang, F., Diabat, A. and Wu, L., (2021). Supply chain coordination with competing suppliers under price-sensitive stochastic demand. International Journal of Production Economics, 234, p.108020. https://doi.org/10.1016/j.ijpe.2020.108020.
 
Xie, Y., Zhao, Y., Chen, Y., and Allen, C., (2022). Green construction supply chain management: Integrating governmental intervention and public-private partnerships through ecological modernization. Journal of Cleaner Production, 331, p.129986. https://doi.org/10.1016/j.jclepro.2021.129986.
 
Xiong, Y., Huang, T. and Yanni, S.U., (2018). Difference of NEV Incentive Policies’ Effect toward Manufacturers: From Perspectives of ‘Government Purchasing’and ‘Consumption Subsidy’. Sci. Sci. Manag. ST, 39, pp.33-41.
 
Xu, M. and Lu, Y., (2013). The effect of supply uncertainty in price-setting newsvendor models. European Journal of Operational Research, 227(3), pp.423-433. https://doi.org/10.1016/j.ejor.2012.12.008.
 
Xu, X., Zhang, W., He, P., and Xu, X., (2017). Production and pricing problems in make-to-order supply chain with cap-and-trade regulation. Omega, 66, pp.248-257. https://doi.org/10.1016/j.omega.2015.08.006.
 
Yan, N., Liu, Y., Xu, X., and He, X.,(2020). Strategic dual-channel pricing games with e-retailer finance. European Journal of Operational Research, 283(1), pp.138-151. https://doi.org/10.1016/j.ejor.2019.10.046.
 
Yang, D.X., Qiu, L.S., Yan, J.J., Chen, Z.Y. and Jiang, M., (2019). The government regulation and market behavior of the new energy automotive industry. Journal of cleaner production, 210, pp.1281-1288. https://doi.org/10.1016/j.jclepro.2018.11.124.
 
Zaefarian, T., Andabili, M., Momeni, H. and Najafi, S.E., (2018). Iran auto market price segmentation and car ranking in segments using a hybrid DEMATEL-Two-Step clustering-TOPSIS approach and two-step weighting based on Shannon's entropy. Industrial management studies, 16(50), pp.159-192. https://doi.org/10.22054/JIMS.2018.9110.
 
Zhang, X. and Yousaf, H.A.U., (2020). Green supply chain coordination considering government intervention, green investment, and green customer preferences in the petroleum industry. Journal of Cleaner Production, 246, p.118984. https://doi.org/10.1016/j.jclepro.2019.118984.
 
Zhang, Y., Qian, Z.S., Sprei, F. and Li, B., (2016). The impact of car specifications, prices, and incentives for battery electric vehicles in Norway: Choices of heterogeneous consumers. Transportation Research Part C: Emerging Technologies, 69, pp.386-401. https://doi.org/10.1016/j.trc.2016.06.014.
 
Zhao, X., Atkins, D., Hu, M. and Zhang, W., (2017). Revenue management under joint pricing and capacity allocation competition. European Journal of Operational Research, 257(3), pp.957-970. https://doi.org/10.1016/j.ejor.2016.08.025.
 
Zhao, J.H., Zeng, D.L., Che, L.P., Zhou, T.W. and Hu, J.Y., (2020). Research on the profit change of new energy vehicle closed-loop supply chain members based on government subsidies. Environmental Technology & Innovation, 19, p.100937. https://doi.org/10.1016/j.eti.2020.100937.