Research on Manufacturing Resources Optimal Allocation Strategy of 3D Printing Cloud Service Platform

A three-tier programming model for service composition and optimal selection in cloud manufacturing

“…Thekinen and Panchal (2017) considered the different preferences of service demanders and resource providers and designed four types of two-way matching mechanisms to find the best match. Cheng et al (2018) proposed a bilevel planning model for manufacturing resource optimization in consideration of the interests of customers and enterprises, which realized the optimal allocation of collaborative manufacturing resources in the 3D printing cloud service platform. Zhang et al (2021) proposed a new utility-aware CMfg multitask scheduling model, which considers the utilities of customers and manufacturers.…”

“…Service demanders & Resource providers (Que et al, 2018) A new manufacturers-to-users (M2U) model for CMfg. (Cheng et al, 2018) A bi-level planning model of manufacturing resources optimal allocation for 3D printing cloud service platform. (Zhang et al, 2021) A new utility-aware CMfg multi-task scheduling model.…”