Pricing and low-carbon decisions in an uncertain supply chain with cap-and-trade regulation

被引:0
|
作者
Yan, Guangzhou [1 ]
Ni, Yaodong [2 ]
机构
[1] Hebei Agr Univ, Coll Sci, Baoding, Peoples R China
[2] Univ Int Business & Econ, Sch Informat Technol & Management, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Supply chain management; Pricing decision; Cap-and-trade; Low-carbon; Stackelberg game; EMISSION REDUCTION DECISIONS; COMPETITION; NETWORK; MODELS; RETAILERS; POLICIES; DESIGN;
D O I
10.3233/JIFS-232607
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies the pricing and low-carbon decision problems in a supply chain containing a manufacturer and a downstream retailer. The manufacturer produces a single product under the cap-and-trade scheme. We formulate the price and carbon-concerned demand function. To maximize their revenue, the manufacturer and the retailer determine their selling prices and carbon emission reduction rates separately. Due to the fast product updates speed, some parameters do not have enough historical data. For example, the sales cost of the retailer, the demand of consumers, and the total carbon emissions of manufacturers are far from frequency stability. This fact makes the distribution function obtained in practice usually deviate from the frequency. They are all uncertain variables whose distributions are estimated from the empirical data of experts or managers. In this paper, we give three decentralized game models to explore the equilibrium behaviors in the corresponding decision environment under an uncertain environment. Corresponding analytical solutions are offered under different game scenarios. Finally, numerical experiments are performed to illustrate the effectiveness of the established models and yield some remarkable insights.
引用
收藏
页码:2877 / 2897
页数:21
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