具有供应链溢出效应的研发竞争模型的复杂性

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Complexity Pub Date : 2024-02-28 DOI:10.1155/2024/3152363
Jianli Xiao, Hanli Xiao
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引用次数: 0

摘要

本研究旨在调查供应链中的研发(R&D)竞争,重点关注两个方面:制造层面的研发竞争和定价策略竞争。本文建立了一个研发竞争的动态博弈模型,包括两个制造商和两个零售商,两个制造商都表现出有限理性。主要结论如下(1) 调整速度的增加会对 R&D 竞争体系的混乱性产生积极影响,从而导致无序状态。这种无序状态会对制造业的盈利能力产生不利影响。(2) 溢出效应与研发竞争体系的混乱程度呈正相关。溢出效应越大,环境越动荡,进而影响制造商的盈利能力。(3)研发成本参数对研发竞争体系的稳定性有正向影响。当系统达到平衡状态时,研发成本参数的上升会对制造商的盈利能力构成威胁。(4)零售商成本对研发竞争体系的稳定性起不利作用。随着零售商成本的增加,R&D 水平会下降,从而削弱制造商的盈利能力。(5) 为缓解混沌状态,我们提出了实施延时反馈控制(TDFC)的方法,该方法反映了 R&D 竞争系统中较为稳定的状态。
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The Complexities in the R&D Competition Model with Spillover Effects in the Supply Chain

This study aims to investigate the research and development (R&D) competition within the supply chain, focusing on two aspects: R&D competition at the manufacturing level and competition in pricing strategies. This paper establishes a dynamic game model of R&D competition, comprising two manufacturers and two retailers, with both manufacturers exhibiting bounded rationality. The key findings are as follows: (1) an increase in the adjustment speed positively affects the chaotic nature of the R&D competition system, leading to a state of disorder. This chaotic state has adverse implications for manufacturing profitability. (2) The spillover effect exhibits a positive relationship with the level of chaos in the R&D competition system. A greater spillover effect contributes to a more turbulent environment, which subsequently impacts the profitability of manufacturers. (3) R&D cost parameters exert a positive influence on the stability of the R&D competition system. When the system reaches a state of equilibrium, an escalation in the R&D cost parameters poses a threat to manufacturer profitability. (4) Retailer costs play a detrimental role in the stability of the R&D competition system. As retailer costs increase, there is a decline in R&D levels, thereby diminishing manufacturer profitability. (5) To mitigate the chaotic state, we propose the implementation of the time-delayed feedback control (TDFC) method, which reflects a more stable state in the R&D competition system.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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