Impulse synchronization strategy for supply chains considering combined effects and demand saturation

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yang Peng , Jiang Wu
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Abstract

Supply chains often face sudden changes in production, distribution, and consumption as a result of factors such as pandemics, Black Friday, and mass production by manufacturers; this is called the ”impulse phenomenon.” The effect of the impulse phenomenon on the supply chain system can be positive or negative. Understanding how to use the impulse phenomenon to synchronize supply chain systems and avoid chaos is therefore important for supply chain management. Existing studies mainly use continuous synchronization strategies as a means to avoid chaos in supply chain systems; however, a discrete impulse synchronization strategy is easier to implement. Considering combined effects of consumption,distribution,production and demand saturation, this study constructs a supply chain system composed of a manufacturer, distributor, and retailer. We then construct a supply chain system with uncertain parameters and input disturbance. Using Lyapunov stability theory and matrix inequality, we obtain the impulse synchronization strategies of two supply chain systems. Finally, taking China’s supply chain system of corn, wheat, and rice as an example, we compare goodness of fit. The production, distribution, and consumption of rice are controlled using a temporary storage purchase policy, batch ordering, and promotion activities, and the effectiveness of the impulse synchronization strategy is verified. Our results show the following: (1) Considering combined effects and demand saturation, the supply chain system has better goodness of fit and better impulse synchronization. (2) When a chaotic supply chain system deviates from its expected state, if impulse intensity and the time interval satisfy Theorem 1 or 2, the supply chain system can be restored to its expected state; if not, the synchronization effect might not be achieved. (3) Generally, when impulse intensity is low, the time interval is short, if impulse intensity is high, the time interval should be longer.
考虑综合效应和需求饱和的供应链脉冲同步策略
由于流行病、黑色星期五和制造商大规模生产等因素,供应链经常面临生产、分销和消费的突然变化,这就是所谓的 "脉冲现象"。脉冲现象对供应链系统的影响可能是积极的,也可能是消极的。因此,了解如何利用脉冲现象使供应链系统同步并避免混乱对供应链管理非常重要。现有研究主要采用连续同步策略作为避免供应链系统混乱的手段,但离散脉冲同步策略更容易实施。考虑到消费、分销、生产和需求饱和的综合影响,本研究构建了一个由制造商、分销商和零售商组成的供应链系统。然后,我们构建了一个具有不确定参数和输入干扰的供应链系统。利用李雅普诺夫稳定性理论和矩阵不等式,我们得到了两个供应链系统的脉冲同步策略。最后,以中国的玉米、小麦和大米供应链系统为例,比较拟合优度。利用临储收购政策、批量订货和促销活动控制大米的生产、流通和消费,验证脉冲同步策略的有效性。结果表明(1) 考虑到综合效应和需求饱和,供应链系统具有更好的拟合优度和更好的脉冲同步性。(2) 当混沌供应链系统偏离预期状态时,如果脉冲强度和时间间隔满足定理 1 或 2,供应链系统可以恢复到预期状态;如果不满足,则可能达不到同步效果。(3)一般情况下,当脉冲强度较低时,时间间隔较短,如果脉冲强度较高,时间间隔应较长。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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