Abstract
In distributed cloud manufacturing (CMfg) systems, multi-resource service can complete more complex manufacturing tasks than single resource service. Especially in business process, all the resource services are invoked in a certain sequence, which is called the Resource-Service Chain (RSC). The RSC, as a sequential composition of resource services, expresses the scheduling and the flow of servicing to a distributed business process. A perfect composition can improve utilization ratio and efficient matching availability of resource services greatly. However, most of the existing methods for resource service composition paid no attention to the temporal relationship between resource services. Moreover, the methods strongly depend on relevant element to be considered. Inspired by biological evolution, a Resource-Service Chain Composition Evolutionary (RSCCE) algorithm is proposed. Specifically, RSCCE tries to find multiple optimal solutions, namely all RSCs in a workflow with given constraints. To begin, initial sets of composite resource service are resolved by calculating the degree of dependency between resource services, so as to obtain initial RSCs by workflow. Then, RSCCE algorithm applies genetic algorithm to search for the extended of each initial RSC, a longer chain composing of it, to improve the reuse of RSC. Under this approach, gene and chromosome represent resource service and the entire RSC respectively. If the propagated chromosomes violate the sequence of resource service, as constraint in RSCCE algorithm, they will be repaired to obtain a valid solution. Finally, we take a multi-enterprise collaborative business process as an example to simulate our approach. Experimental results confirm the effectiveness of the approach.
Highlights
Cloud Manufacturing (CMfg) is a new distributed network manufacturing supplying all kinds of manufacturing services on demand
All dispersed and diverse manufacturing resources from different enterprises are encapsulated into cloud services, organized and integrated into CMfg service platform under the support of distributed computing and cloud computing and Internet of Things technologies
Composition of resource service chain is an important problem in CMfg system
Summary
Cloud Manufacturing (CMfg) is a new distributed network manufacturing supplying all kinds of manufacturing services on demand. All dispersed and diverse manufacturing resources from different enterprises are encapsulated into cloud services, organized and integrated into CMfg service platform under the support of distributed computing and cloud computing and Internet of Things technologies. The resource services can be managed and. In order to complete more complex manufacturing tasks, existing single resource services should be organized as composite resource service (CRS), being invoked as a whole, to provide more efficient and better value-added resource services [4] and integrate enterprises [5], [6]. In a collaborative design and manufacturing processes of electrical apparatus, the task hardware design in the business process needs a CRS composed of three single.
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