  Cloud manufacturing system is a service-oriented and knowledge-based one,
which can provide solutions for the large-scale customized production. The
service resource allocation is the primary factor that restricts the production
time and cost in the cloud manufacturing customized production (CMCP). In order
to improve the efficiency and reduce the cost in CMCP, we propose a new
framework which considers the collaboration among services with the same
functionality. A mathematical evaluation formulation for the service
composition and service usage scheme is constructed with the following critical
indexes: completion time, cost, and number of selected services. Subsequently,
a problem decomposition based genetic algorithm is designed to obtain the
optimal service compositions with service usage schemes. A smart clothing
customization case is illustrated so as to show the effectiveness and
efficiency of the method proposed in this paper. Finally, the results of
simulation experiments and comparisons show that these solutions obtained by
our method are with the minimum time, a lower cost, and the fewer selected
services.
