Abstract:In fuzzy demand market environment, considering manufacturer's fairness preference behavior, a Stackelberg game model for dual-channel green supply chain composed of a manufacturer and a retailer is established. Then the equilibrium strategies of product price and carbon emission reduction level are derived. Finally, numerical examples are presented to explore the influence of consumer's environmental awareness and green manufacturer's fairness preference on the decisions and profits of green supply chain members. It is shown that: As the uncertainty of market demand increases, the product price, the product carbon emission reduction level and the expected profits of the dual-channel supply chain players increase. The higher consumer's environmental awareness is conducive to encouraging the green manufacturer to improve energy conservation and emission reduction technology. The manufacturer's fairness preference behavior will make them pay more attention to the fairness of profit distribution between channels, and lead to the decrease of supply chain operation performance.
李军涛, 刘朋飞, 胡启贤. 模糊环境下考虑公平偏好的绿色供应链博弈研究[J]. 复杂系统与复杂性科学, 2021, 18(4): 84-94.
LI Juntao, LIU Pengfei, HU Qixian. Research on Green Supply Chain Game Considering the Fairness Preference in Fuzzy Environment. Complex Systems and Complexity Science, 2021, 18(4): 84-94.
[1]Zhang L H, Wang J G, You J X. Consumer environmental awareness and channel coordination with two substitutable products[J]. European Journal of Operational Research, 2015, 241(1):63-73. [2]Fahimnia B, Sarkis J, Eshragh A. A tradeoff model for green supply chain planning: a leanness-versus-greenness analysis[J]. Omega, 2015, 54:173-190. [3]Kadiyali V, Chintagunta P, Vilcassim N. Manufacturer-retailer channel interactions and implications for channel power: an empirical investigation of pricing in a local market[J]. Marketing Science, 2000, 19(2):127-148. [4]Govindan K, Diabat A, Shankar K M. Analyzing the drivers of green manufacturing with fuzzy approach[J]. Journal of Clean Production, 2015, 96:182-193. [5]Bai C, Dhavale D, Sarkis J. Complex investment decisions using rough set and fuzzy c-means: an example of investment in green supply chains[J]. European Journal of Operational Research, 2016, 248(2):507-521. [6]Zhao J, Wang L SH. Pricing and retail service decisions in fuzzy uncertainty environments[J]. Applied Mathematics and Computation, 2015, 250:580-592. [7]Jamali M B, Rasti-Barzoki M. A game theoretic approach for green and non-green product pricing in chain-to-chain competitive sustainable and regular dual-channel supply chains[J]. Journal of Cleaner Production, 2018, 170:1029-1043. [8]Wang J, Jiang H J, Yu M ZH. Pricing decisions in a dual-channel green supply chain with product customization[J]. Journal of Clean Production, 2020, 247:119101. [9]Li B, Zhu M Y, Jiang Y SH, et al. Pricing policies of a competitive dual-channel green supply chain[J]. Journal of Cleaner Production, 2016, 112(20):2029-2042. [10] 江世英,李随成.考虑产品绿色度的绿色供应链博弈模型及收益共享契约[J].中国管理科学,2015,23(6):169-176. Jiang Shiying, Li Suicheng. Green supply chain game models and revenue sharing contract with product green degree[J]. Chinese Journal of Management Science, 2015, 23(6):169-176. [11] 士明军,王勇,但斌,等.绿色供应链中不对称需求预测下的信息共享研究[J].中国管理科学,2019,27(4):104-114. Shi Mingjun, Wang Yong, Dan Bin, et al. Information sharing in a green supply chain with asymmetric demand forecasts[J]. Chinese Journal of Management Science, 2019, 27(4):104-114. [12] 吕宝龙,张桂涛,刘阳,等.考虑碳税和产品绿色度的闭环供应链网络Nash博弈均衡模型[J].中国人口·资源与环境,2019,29(1):59-69. Lv Baolong, Zhang Guitao, Liu Yang, et al. Nash game equilibrium model of the closed-loop supply chain network considering carbon tax mechanism and product green degree[J]. China population, Resources and Environment, 2019, 29(1):59-69. [13] 于淼,马军海.双渠道回收闭环供应链演化博弈复杂性与控制[J].复杂系统与复杂性科学,2017,14(2):65-74, 81. Yu Miao, Ma Junhai. Complexity of evolutionary game and control in a closed-loop supply chain with dual-channel recycling[J]. Complex Systems and Complexity Science, 2017, 14(2):65-74,81. [14] Hadi T, Chaharsooghi S K, Sheikhmohammady M, et al. Pricing strategy for a green supply chain with hybrid production modes under government intervention[J]. Journal of Cleaner Production, 2020, 268:121945. [15] Hafezalkotob A. Modelling intervention policies of government in price-energy saving competition of green supply chains[J]. Computers & Industrial Engineering 2018, 119:247-261. [16] Sun H X, Wan Y, Zhang L L, et al. Evolutionary game of the green investment in a two-echelon supply chain under a government subsidy mechanism[J]. Journal of Cleaner Production, 2019, 235:1315-1326. [17] 尚文芳,滕亮亮.考虑政府补贴和销售努力的零售商主导型绿色供应链博弈策略[J].系统工程,2020,38(2):40-50. Shang Wenfang, Teng Liangliang. Game strategy considering government subsidies and sales efforts in Retailer-led green supply chain[J]. Systems Engineering, 2020, 38(2):40-50. [18] 关志民,曲优,赵莹.考虑决策者失望规避的供应链协同绿色创新动态优化与协调研究[J].运筹与管理,2020,29(5):96-107. Guan Zhimin, Qu You, Zhao Ying. Dynamic optimization and coordination on joint green innovation in a supply chain considering disappointment aversion[J]. Operations Research and Management Science, 2020, 29(5):96-107. [19] 公彦德,陈梦泽.考虑企业社会责任和公平偏好的绿色供应链决策研究[DB/OL]. [2020-07-21].https://doi.org/10.13195/j.kzyjc.2019.1102. Gong Yande, Chen Mengze. Research on green supply chain considering fairness preference and corporate social responsibility[DB/OL]. [2020-07-21].https://doi.org/10.13195/j.kzyjc.2019.1102. [20] Liu B D, Liu Y K. Expected value of fuzzy variable and fuzzy expected value models[J]. IEEE Transactions on Fuzzy Systems, 2002, 10(4):445-450.