Pricing and carbon reduction decisions for a new uncertain dual-channel supply chain under cap-and-trade regulation

IF 4.8 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Naiqi Liu, Wansheng Tang, Yanfei Lan, Huili Pei
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Abstract

This study concentrates on the pricing issue in a low-carbon dual-channel (DC) supply chain, where the upper-level manufacturer is regulated by the cap-and-trade (CAT) mechanisms. Market demand is a key factor affecting pricing decision and demand uncertainty complicates the pricing problem. To deal with the challenge that only partial demand distribution information is available, this paper proposes a novel ambiguity distribution set to depict the uncertain demand. Under the proposed ambiguity distribution set, a robust fuzzy bi-level optimization pricing model is developed for the low-carbon DC supply chain. Three CAT regulation mechanisms, no CAT regulation, grandfathering (GF) mechanism and benchmarking (BM) mechanism, are considered to address the manufacturer’s CAT regulation. The analytically tractable counterpart of the proposed model is derived and the corresponding robust equilibrium solutions are obtained under three CAT mechanisms. Numerical analyses are carried out to explore the impact of the demand uncertainty on the manufacturer’s selection of the CAT regulation mechanism. The numerical results indicate that the uncertainty degree can change the manufacturer’s selection of the regulated mechanisms. Specifically, when the uncertainty degree is smaller, the BM mechanism is beneficial for the manufacturer comparing with the GF mechanism; when the uncertainty degree is bigger, the manufacturer prefers to GF mechanism rather than BM mechanism.

Abstract Image

限额交易监管下新的不确定双通道供应链的定价和碳减排决策
本研究集中探讨了低碳双通道(DC)供应链中的定价问题,其中上层制造商受总量控制与交易(CAT)机制的监管。市场需求是影响定价决策的关键因素,而需求的不确定性使定价问题更加复杂。为了应对只有部分需求分布信息的挑战,本文提出了一种新的模糊分布集来描述不确定的需求。在所提出的模糊分布集下,为低碳直流供应链建立了一个稳健的模糊双层优化定价模型。为解决制造商的 CAT 监管问题,考虑了三种 CAT 监管机制,即无 CAT 监管、祖父机制(GF)和基准机制(BM)。推导出了拟议模型的可分析对应模型,并得到了三种 CAT 机制下相应的稳健均衡解。通过数值分析探讨了需求不确定性对制造商选择 CAT 调节机制的影响。数值结果表明,不确定性程度会改变制造商对调节机制的选择。具体来说,当不确定度较小时,与 GF 机制相比,BM 机制对制造商有利;当不确定度较大时,制造商更倾向于 GF 机制而不是 BM 机制。
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来源期刊
Fuzzy Optimization and Decision Making
Fuzzy Optimization and Decision Making 工程技术-计算机:人工智能
CiteScore
11.50
自引率
10.60%
发文量
27
审稿时长
6 months
期刊介绍: The key objective of Fuzzy Optimization and Decision Making is to promote research and the development of fuzzy technology and soft-computing methodologies to enhance our ability to address complicated optimization and decision making problems involving non-probabilitic uncertainty. The journal will cover all aspects of employing fuzzy technologies to see optimal solutions and assist in making the best possible decisions. It will provide a global forum for advancing the state-of-the-art theory and practice of fuzzy optimization and decision making in the presence of uncertainty. Any theoretical, empirical, and experimental work related to fuzzy modeling and associated mathematics, solution methods, and systems is welcome. The goal is to help foster the understanding, development, and practice of fuzzy technologies for solving economic, engineering, management, and societal problems. The journal will provide a forum for authors and readers in the fields of business, economics, engineering, mathematics, management science, operations research, and systems.
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