Abstract
The supply-demand matching (SDM) strategy is an important part of the transaction mechanism design of cloud manufacturing (CMfg) platforms, which has a significant impact on the evolution trend of cloud manufacturing ecosystems (CMEs). To help CMfg platform operators choose the appropriate SDM strategy, first, the evolution process of the CME was qualitatively analyzed, and the evolution process was divided into three stages: the germination period, the growth period and the stable period. Then, three types of market agent behavior models, service demanders (SDs), service providers (SPs) and platform operators (POs), were established, and a multiagent behavior simulation experiment was conducted. Finally, the evolution of CMEs with one-way and two-way SDM strategies for POs was compared and analyzed from three aspects: the overall utilization rate of SPs, the diversity of CMEs and the total output of CMEs. Simulation experiments show that, compared with the CME that adopts the one-way SDM strategy, the CME that adopts the two-way SDM strategy is approximately 33% faster to reach ecological balance, the overall utilization rate is approximately 98.7% higher, the diversity is approximately 6% higher, and the total output is approximately 91% higher. The two-way SDM strategy that comprehensively considers the respective preferences of SDs and SPs is more conducive to the healthy development of CMEs.
Highlights
With the development of the Internet of Things (IoT), cloud computing, artificial intelligence (AI) and other advanced information technologies, a new service-oriented networked manufacturing paradigm known as cloud manufacturing (CMfg) was introduced with the aim of solving more complex manufacturing problems and carrying out larger-scale collaborative manufacturing [1]
NetLogo is responsible for providing a multiagent simulation operating environment for the interaction between service demanders (SDs), service providers (SPs) and platform operators (POs), and MATLAB is responsible for calculating the matching degree of supply and demand
By introducing evaluation indexes such as the overall utilization rate of SPs, the diversity of cloud manufacturing ecosystems (CMEs) and the total output of CMEs, the influence of one-way and two-way supply-demand matching (SDM) strategies on the evolution trend of CMEs was analyzed from the perspectives of POs
Summary
With the development of the Internet of Things (IoT), cloud computing, artificial intelligence (AI) and other advanced information technologies, a new service-oriented networked manufacturing paradigm known as cloud manufacturing (CMfg) was introduced with the aim of solving more complex manufacturing problems and carrying out larger-scale collaborative manufacturing [1]. All users connected to this center can make manufacturing service. Requests to the CMfg service center for various manufacturing activities such as product design, manufacturing, simulation and testing. The CMfg service platform will intelligently match, search, recommend and execute services in the cloud and transparently provide all kinds of manufacturing services to users to achieve the goal of providing highly sharable manufacturing capacity [2]. The CMfg platform serves as the link between massive demand and manufacturing services.
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