A Comparative Study on the Impact of One-way and Two-way Matching Strategies on the Evolution of Cloud Manufacturing Ecosystems

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.

 EXISTING SYSTEM :

 ? Existing research articles in this area also present some system architectures for the development of cloud manufacturing platforms. ? we can find the virtual resource pool in most of the existing systems; however, it is still not clear that what specific functions the pool should have, as well as what the mechanisms of virtualisation and servitisation should be. ? From a system implementation perspective, the relationships between physical resource, virtual resource, capability and services need to be clarified. But a few studies on such relationships have been conducted. In fact, most current architecture solutions are quite high level, and still lack details that can be referential for application design and development.

 DISADVANTAGE :

 ? In terms of SDM strategies, Argoneto et al. formulated the problem of capacity sharing for a set of independent firms as a cooperative game and identified a capacity sharing solution using the Gale–Shapley model. ? Joseph and Jitesh formulated the resource allocation problem as a bipartite matching problem and analyzed four bipartite matching mechanisms, namely, deferred acceptance (DA), top trading cycle (TTC), Munkres, and FCFS, with respect to the desired properties of the mechanisms, such as individual rationality, stability, strategy proofness, consistency, monotonicity and Pareto efficiency

 PROPOSED SYSTEM :

 • In this paper, we review some of the research work and clarify some fundamental terminologies in this field. • This paper presents a new perspective for cloud manufacturing, as well as a cloud-to-ground solution. The integrated solution proposed in this paper, including the terminology, MfgCloud, and applications, can push forward this new paradigm from concept to practice. • This paper proposes a systematic and complete solution to address these issues. We define a few fundamental terms and concepts in cloud manufacturing. Moreover, we developed MfgCloud, a cloud manufacturing platform prototype that can offer some of the basic functions that are required in cloud manufacturing.

 ADVANTAGE :

 ? To improve the efficiency of the simulation process without losing generality, this paper makes the following assumptions about the evolution of CME: (1) there is only one PO in the CMfg platform, which adopts the assigned transaction mode. (2) The agents in the experiment only belong to a certain type of SD, SP and PO, and will not be both SD and SP. Each SP only provides a certain type of service. ? When the two-way SDM strategy is adopted, the time for the CME to reach ecological equilibrium is approximately 33% faster than when the one-way SDM strategy is adopted, which can improve the evolution efficiency of the CME and save marketing costs.