قیمت گذاری و تصمیم‌گیری در خصوص تلاش برای کاهش انتشار کربن در یک زنجیره تأمین تولید خودروهای بنزینی و خودروهای الکتریکی با درنظرگیری دولت: یک رویکرد نظریه بازی
الموضوعات :
محمد مهدی شیخی نصر آبادی
1
,
حسین خسروشاهی
2
1 - دانشکده مهندسی صنایع و سیستم‌ها، دانشگاه صنعتی اصفهان، اصفهان، ايران
2 - دانشکده مهندسی صنایع و سیستم‌ها، دانشگاه صنعتی اصفهان، اصفهان، ايران
الکلمات المفتاحية: قیمت گذاری, خودروهای الکتریکی, کاهش آلاینده‌های کربنی, مدیریت زنجیری تامین پایدار: نظریه‌ی بازی: رقابت استکلبرگ,
ملخص المقالة :
در حالی که بازار خودروهای الکتریکی جدید به طور چشمگیری در حال رشد است، برخی از مشکلات زیست محیطی، مانند انتشار کربن، معمولاً به تولید خودروهای الکتریکی نسبت داده می‌شود. در این پژوهش، یک زنجیره تامین شامل یک تولیدکننده که خودروی الکتریکی و بنزینی را از طریق یک خرده فروش به فروش می‌رساند، مورد پژوهش قرار داده شد. در این پژوهش، از یک رویکرد نظریه بازی برای مدل سازی و حل مسئله استفاده شده است. در این پژوهش فرض شده است که دولت به عنوان رهبر در بازی استکلبرگ سیاست‌های متفاوتی را که بر مبنای مفهوم توسعه‌ی پایدار طراحی شده اند، به اجرا در می‌آورد. تحت این سیاست‌ها، تولیدکننده و خرده فروش تلاش در بیشینه سازی سود اقتصادی خود در رقابت استکلبرگ دارند. در نتیجه‌ی این پژوهش، دیدگاه‌های مدیریتی به منظور استفاده در مسائل واقع‌گرایانه واقعی بدست آمده است. به عنوان مثال، آستانه‌هایی برای ضرایب و پارامترهایی نظیر ضریب تبدیل ارزش زیست محیطی به ارزش مالی به دست آمده که نشان می‌دهد اگر سرمایه گذاری سبز در خط تولید به تقاضای محصول بستگی داشته باشد، قیمت بازار (همان قیمت مصرف‌کننده) و قیمت کارخانه‌ی محصول خودروهای الکتریکی در مقایسه با وضعیتی که اهمیت سرمایه گذاری سبز برای دولت مستقل از تقاضا است، گران تر خواهد بود. با این حال دولت در فرض نخست، بیشتر از خودروهای الکتریکی حمایت می‌کند. به منظور ارائه بینش‌های مدیریتی کاربردی در دنیای واقعی، در این پژوهش بر روی تحلیل‌های پارامتریک تمرکز قرار گرفت.
[1] M. Gao, C. Liu, Z. Liu, and X. Chen, "A tabu search algorithm for the unrelated parallel machine scheduling problem with varied carbon emission constraints in different time intervals," Journal of the Operational Research Society, pp. 1-15, 2023, doi: 10.1080/01605682.2023.2233555.
[2] C. Lee, "An exact algorithm for the electric-vehicle routing problem with nonlinear charging time," Journal of the Operational Research Society, vol. 72, no. 7, pp. 1461-1485, 2021, doi: 10.48550/arXiv.2108.01273.
[3] K. Valogianni, W. Ketter, J. Collins, and D. Zhdanov, "Sustainable electric vehicle charging using adaptive pricing," Production and Operations Management, vol. 29, no. 6, pp. 1550-1572, 2020, doi:10.1111/poms.13179
[4] Z. Wu and H. Liao, "An approach to hesitant fuzzy linguistic multiple criteria group decision making with uncertain criteria weights considering incomparability between alternatives," Journal of the Operational Research Society, pp. 1-13, 2023, doi: 10.1080/01605682.2023.2172365.
[5] S. Hasan, "Assessment of electric vehicle repurchase intention: A survey-based study on the Norwegian EV market," Transportation Research Interdisciplinary Perspectives, vol. 11, p. 100439, 2021, doi:10.1016/j.trip.2021.100439
[6] M. Rasti-Barzoki and I. Moon, "A game theoretic approach for analyzing electric and gasoline-based vehicles’ competition in a supply chain under government sustainable strategies: A case study of South Korea," Renewable and Sustainable Energy Reviews, vol. 146, p. 111139, 2021, doi: 10.1016/j.rser.2021.111139.
[7] M. Chen and Y. Gong, "Sustaining and sharing: Optimal decisions in product-sharing platforms with green services," Journal of the Operational Research Society, pp. 1-15, 2023.
[8] M. Shafiee and M. Honarvar, "Studying the effect of carbon tax policy on a dual-channel supply chain for deteriorating products," Journal of the Operational Research Society, pp. 1-18, 2023, doi: 10.1080/01605682.2023.2209110.
[9] X. Chen, Y. Wu, A. Ji, and X. Xu, "Offering subsidies to logistics providers and consignors," Journal of the Operational Research Society, vol. 72, no. 1, pp. 35-60, 2021, doi: 10.1080/01605682.2019.1650622.
[10] J. Bai, S. Hu, L. Gui, K. C. So, and Z. J. Ma, "Optimal subsidy schemes and budget allocations for government-subsidized trade-in programs," Production and Operations Management, vol. 30, no. 8, pp. 2689-2706, 2021, doi: 10.1111/poms.13401.
[11] J. J. Yu, C. S. Tang, M. K. Li, and Z. J. M. Shen, "Coordinating installation of electric vehicle charging stations between governments and automakers," Production and Operations Management, vol. 31, no. 2, pp. 681-696, 2022, doi: 10.1111/poms.13564.
[12] M. Zhu, Z. Liu, J. Li, and S. X. Zhu, "Electric vehicle battery capacity allocation and recycling with downstream competition," European Journal of Operational Research, vol. 283, no. 1, pp. 365-379, 2020, doi: 10.1016/j.ejor.2019.10.040.
[13] Z. Tian, X. Gao, S. Su, J. Qiu, X. Du, and M. Guizani, "Evaluating reputation management schemes of internet of vehicles based on evolutionary game theory," IEEE Transactions on Vehicular Technology, vol. 68, no. 6, pp. 5971-5980, 2019, doi: 10.1109/TVT.2019.2910217.
[14] Y. Fang et al., "Improving solar power usage with electric vehicles: Analyzing a public-private partnership cooperation scheme based on evolutionary game theory," Journal of Cleaner Production, vol. 233, pp. 1284-1297, 2019, doi: 10.1016/j.jclepro.2019.06.001.
[15] Laha, B. Yin, Y. Cheng, L. X. Cai, and Y. Wang, "Game theory based charging solution for networked electric vehicles: A location-aware approach," IEEE Transactions on Vehicular Technology, vol. 68, no. 7, pp. 6352-6364, 2019, doi: 10.1109/TVT.2019.2916475.
[16] Y. Hu, Z. Wang, and X. Li, "Impact of policies on electric vehicle diffusion: An evolutionary game of small world network analysis," Journal of Cleaner Production, vol. 265, p. 121703, 2020, doi: 10.1016/j.jclepro.2020.121703.
[17] Y. Yu, G. Li, and Z. Li, "A game theoretical pricing mechanism for multi-microgrid energy trading considering electric vehicles uncertainty," IEEE Access, vol. 8, pp. 156519-156529, 2020, doi: 10.1109/ACCESS.2020.3019815.
[18] L. Zhu et al., "A game-theory analysis of electric vehicle adoption in Beijing under license plate control policy," Energy, vol. 244, p. 122628, 2022, doi: 10.1016/j.energy.2021.122628.
[19] Chakraborty, R. R. Kumar, and K. Bhaskar, "A game-theoretic approach for electric vehicle adoption and policy decisions under different market structures," Journal of the Operational Research Society, vol. 72, no. 3, pp. 594-611, 2021, doi: 10.1080/01605682.2019.1678407.
[20] S. Woo, S. Bae, and S. J. Moura, "Pareto optimality in cost and service quality for an Electric Vehicle charging facility," Applied Energy, vol. 290, p. 116779, 2021, doi: 10.1016/j.apenergy.2021.116779.
[21] Z. Zhao, L. Zhang, M. Yang, J. Chai, and S. Li, "Pricing for private charging pile sharing considering EV consumers based on non-cooperative game model," Journal of Cleaner Production, vol. 254, p. 120039, 2020, doi: 10.1016/j.jclepro.2020.120039.
[22] Y. Yu, D. Zhou, D. Zha, and Q. Wang, "Joint optimization of charging facility investment and pricing in automobile retail supply chain and coordination," Computers & Industrial Engineering, vol. 156, p. 107296, 2021, doi: 10.1016/j.cie.2021.107296.
[23] H. Wang, T. Zheng, W. Sun, and M. Q. Khan, "Research on the pricing strategy of park electric vehicle agent considering carbon trading," Applied Energy, vol. 340, p. 121017, 2023, doi: 10.1016/j.apenergy.2023.121017.
[24] K. Li and L. Wang, "Optimal electric vehicle subsidy and pricing decisions with consideration of EV anxiety and EV preference in green and non-green consumers," Transportation Research Part E: Logistics and Transportation Review, vol. 170, p. 103010, 2023, doi: 10.1016/j.tre.2022.103010.
[25] Z. L. Liu, T. D. Anderson, and J. M. Cruz, "Consumer environmental awareness and competition in two-stage supply chains," European Journal of Operational Research, vol. 218, no. 3, pp. 602–613, 2012, doi: 10.1016/j.ejor.2011.11.027.
[26] S. Song, K. Govindan, L. Xu, P. Du, and X. Qiao, "Capacity and production planning with carbon emission constraints," Transportation Research Part E: Logistics and Transportation Review, vol. 97, pp. 132–150, 2017, doi: 10.1016/j.tre.2016.10.007.
[27] Z. Hong and X. Guo, "Green product supply chain contracts considering environmental responsibilities," Omega, vol. 83, pp. 155–166, 2019, doi: 10.1016/j.omega.2018.02.010.
[28] H. Gilani, H. Sahebi, and F. Oliveira, "Sustainable sugarcane-to-bioethanol supply chain network design: A robust possibilistic programming model," Applied Energy, vol. 278, p. 115653, 2020, doi: 10.1016/j.apenergy.2020.115653.
[29] D. C. H. Lee and P. B. Lee, "The implications of electric vehicle policies on the environment," Environmental Economics and Policy Studies, vol. 14, pp. 91–107, 2012, doi: 10.1007/s10018-011-0032-9.
[30] H. Feng, Y. Zeng, X. Cai, Q. Qian, and Y. Zhou, "Altruistic profit allocation rules for joint replenishment with carbon cap-and-trade policy," European Journal of Operational Research, vol. 290, no. 3, pp. 956–967, 2021, doi: 10.1016/j.ejor.2020.08.040.
[31] R. Tang and L. Yang, "Impacts of financing mechanism and power structure on supply chains under cap-and-trade regulation," Transportation Research Part E: Logistics and Transportation Review, vol. 139, p. 101957, 2020, doi: 10.1016/j.tre.2020.101957.
[32] S. Rhein and M. Schmid, "Consumers’ awareness of plastic packaging: More than just environmental concerns," Resources, Conservation and Recycling, vol. 162, p. 105063, 2020, doi: 10.1016/j.resconrec.2020.105063.
[33] L. W. Saunders, J. P. Brooks, J. R. Merrick, and C. W. Autry, "Addressing economic/environmental sustainability trade-offs in procurement episodes with industrial suppliers," Production and Operations Management, vol. 29, no. 5, pp. 1256–1269, 2020, doi: 10.1111/poms.13162.
[34] P. Kennedy, S. P. Sethi, C. C. Siu, and S. C. P. Yam, "Cooperative advertising in a dynamic three-echelon supply chain," Production and Operations Management, vol. 30, no. 11, pp. 3881–3905, 2021, doi: 10.1111/poms.13487.
[35] J. Xia and W. Niu, "Carbon-reducing contract design for a supply chain with environmental responsibility under asymmetric information," Omega, vol. 102, p. 102390, 2021, doi: 10.1016/j.omega.2020.102390.
[36] H. Jahangir, et al., "Charging demand of plug-in electric vehicles: Forecasting travel behavior based on a novel rough artificial neural network approach," Journal of Cleaner Production, vol. 229, pp. 1029–1044, 2019, doi: 10.1016/j.jclepro.2019.04.345.
