Abstract
As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) realizes the optimal allocation of resources in the product manufacturing process through the network. Task decomposition is a key problem of the CMfg system for resource scheduling. A high-quality task decomposition method can shorten product development time, reduce costs for resource service providers, and provide technical support for the application of CMfg. However, a cloud manufacturing system has to manage the allocation the correct amount of manufacturing resources, complex production processes, and highly dynamic production environments. At the same time, the tasks issued by service demanders are usually asymmetric and tightly coupled. We solve the complex task decomposition problem by using the traditional methods, that are hard to complete in CMfg. To overcome the shortcomings of CMfg, this paper proposed a task decomposition method based on the cloud platform. For achieving modular production, this approach creatively divides the product production process into four stages: design, manufacturing, transportation, and maintenance. Then a hybrid method, which combines with depth-first search algorithm, fast modular optimization algorithm, and artificial bee colony algorithm, is introduced. The method can obtain a multi-stage task optimization decomposition plan in CMfg. Simulation results demonstrate the proposed method can achieve complex task optimization decomposition in a CMfg environment.
Highlights
The use of features such as customization and specialization in order to meet market demands has put manufacturing industry in a prominent position
A task decomposition system structure based on cloud platform, for addressing complex asymmetric task decomposition problems in cloud manufacturing (CMfg), is presented
With the consideration of the characteristics of product lifecycle and relationships, the research divided the production process into four stages: design, manufacturing, transportation, and maintenance. This problem is transformed into a multi-stage optimization decomposition problem that the complexity of task decomposition was reduced
Summary
The use of features such as customization and specialization in order to meet market demands has put manufacturing industry in a prominent position. Cloud manufacturing centralized the sharing of decentralized resources by establishing a public cloud service platform. The task decomposition based on a cloud manufacturing platform uses the existing production factors and the requirements of the customers as the driving forces, and divides the manufacturing tasks on the cloud into several realistic production processes. We need to select a suitable algorithm, based on the characteristics of the mathematical model, to provide high-quality resources for the manufacturing tasks in the resource pool. The process of task decomposition is to divide cumbersome manufacturing processes into several brief process stages, according to a set of rules. With the consideration of the above situations, a task decomposition method based on the cloud platform is designed.
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