Analysis and Controlling of Manufacturing Service Ecosystem: A Research Framework Based on the Parallel System Theory

Analysis and Controlling of Manufacturing Service Ecosystem: A Research Framework Based on the Parallel System Theory
复制标题

制造服务生态系统分析与控制:基于并行系统理论的研究框架

DOI:
10.1109/tsc.2019.2917445
复制
发表时间:
2019-05
影响因子:
8.1
通讯作者:
陈世展
陈世展
中科院分区:
计算机科学2区
文献类型:
--
作者:
薛霄;郭耀丹;王淑芳;陈世展

文献摘要

相似文献

随着云制造技术的发展,制造服务生态系统(MSE)作为一种典型的复杂网络社会系统应运而生。一方面,服务战略(网络层)驱动制造业社区(社会层)的演进;另一方面,制造业社区(社会层)的初始条件影响服务策略的绩效。为了促进MSE向预期方向演进,有必要明确异构网络之间的循环反馈机制。然而,如何分析和干预MSE可能的演变方向已成为该领域面临的严峻挑战。为了应对这一挑战,本文提出了一个基于并行系统理论的研究框架来研究MSE的演化和控制。首先,从供需匹配的角度构建了相应的MSE数字系统。其次,通过具体的计算实验,展示了不同服务策略(网络层)和不同初始条件(社会层)对MSE演化的影响。最后,将实验结果与实际数据进行了比较,验证了所提方法的可靠性。结果表明,该方法为MSE复杂度分析提供了一种新的方法。
With the development of cloud manufacturing technology, Manufacturing Service Ecosystem (MSE) is emerging as a typical complex cyber-social system. On the one hand, service strategy (cyber layer) drives the evolution of manufacturing community (social layer); on the other hand, the initial conditions of manufacturing community (social layer) affect the performance of service strategy. In order to promote the evolution of MSE in the expected direction, it is necessary to clarify the loop feedback mechanism between heterogeneous networks. However, how to analyze and intervene in the possible evolution directions of MSE has become a serious challenge in the field. In order to face this challenge, this paper proposes a parallel system theory-based research framework to study the evolution and controlling of MSE. First, the corresponding digital system of MSE is constructed from the perspective of supply and demand matching. Second, the specific computational experiment is executed to present the effect of different service strategies (cyber layer) and different initial conditions (social layer) on the evolution of MSE. Furthermore, the comparison of experiment results with real data verifies the credibility of the proposed approach. It demonstrates that our approach can provide a new way for analyzing the complexity of MSE.