Cloud manufacturing: challenges, recent advances, open research issues, and future trends

被引:62
作者
Ghomi, Einollah Jafarnejad [1 ]
Rahmani, Amir Masoud [1 ]
Qader, Nooruldeen Nasih [2 ,3 ]
机构
[1] Islamic Azad Univ, Sci & Res Branch, Tehran, Iran
[2] Univ Human Dev, Dept Comp Sci, Sulaymaniyah, Iraq
[3] Univ Sulaimani, Dept Comp Sci, Sulaymaniyah, Iraq
关键词
Cloud manufacturing; Resource virtualization; Semantic web; Service composition; Service matching; Scheduling; AWARE SERVICE COMPOSITION; ARTIFICIAL BEE COLONY; RESOURCE-ALLOCATION; GENETIC ALGORITHM; OPTIMIZATION; SIMULATION; DESIGN; SELECTION; SYSTEM;
D O I
10.1007/s00170-019-03398-7
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Cloud manufacturing (CMfg) is a new manufacturing paradigm over computer networks aiming at using distributed resources in the form of manufacturing capabilities, hardware, and software. Some modern technologies such as cloud computing, Internet of Things (IoT), service-oriented, and radio-frequency identification (RFID) play a key role in CMfg. In CMfg, all resources needed for manufacturing such as hardware, software, and manufacturing capabilities are virtualized; the services are provided by manufacturing resources. In this paper, the key characteristics, concepts, challenges, open issues, and future trends of cloud manufacturing are presented to direct the future researches. Accordingly, five directions of advances in CMfg are introduced and the articles in five categories are reviewed and analyzed: (1) studies focused on the architecture and platform design of CMfg; (2) studies concentrated on resource description and encapsulation; (3) studies focused on service selection and composition; (4) studies aimed at resource allocation and service scheduling; and (5) studies aimed at service searching and matching. The article also aims at providing a development diagram in the area of CMfg as a roadmap for future research opportunities and practice.
引用
收藏
页码:3613 / 3639
页数:27
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