scholarly journals A state-of-the-art study of cloud manufacturing

2018 ◽  
Vol 7 (2.29) ◽  
pp. 34
Author(s):  
Noor Hatema ◽  
Yusri Yusof ◽  
Aini Zuhra A. Kadir ◽  
Mohammed M A

There is a considerable industrial standard transfer. This will drive to the adaptable usage of various globally shared, emerging within the manufacturing field by Combining advanced manufacturing models such as the Internet of things, cloud computing, service-oriented technologies, big data, and recently Cloud Manufacturing. Cloud manufacturing a program is a combined program that empowers manufacturers to distribute sources contribute manufacturing services and including supports compatible cooperation. Economically significantources, such as the manufacture of software tools, importance, knowledge, and manufacturing capacity, and material, then become available to supposed users on a global basis, the principal benefits and difficulties of achieving cloud manufacturing are analyzed. the key New technologies for manufacturing model, is cloud manufacturing, cloud manufacturing aims to achieve full participation, free of charge, And easy for utilization of various sources and manufacturing abilities in the form of manufacturing setting. This paper contributes an overview of the cloud manufacturing.  

Author(s):  
Sudarsanam S. K. ◽  
Umasankar V.

Cloud-based manufacturing is a computing and service-oriented model developed from existing advanced manufacturing models and enterprise technologies with the support of cloud computing, IOT, and virtualization. In this chapter, various definitions of cloud manufacturing are discussed. New service models other than the existing cloud computing service models are being discussed elaborately. Cloud-based design manufacturing is also being discussed. A comparison of cloud manufacturing and cloud-based design manufacturing is elaborately discussed. Key technologies and challenges in cloud manufacturing are highlighted.


2013 ◽  
Vol 705 ◽  
pp. 584-589
Author(s):  
Liang Chen ◽  
Yang Wang ◽  
Shi Wang Yang ◽  
Xue Ping Gu ◽  
Yan Xu

A real-time interactive smart energy system is designed based on the internet of things and cloud computing, which is composed of Smart Meters, Smart Terminals, Smart Power Plugs and Cloud computing service system. Combining with Smart Gird property and the internet of things technology, the smart energy system provides the full range interaction of Power companies-Internet of things equipments-cooperation between the equipments. Meanwhile, the offline decision mode is supported by the expert system and the online decision mode is provided by the Cloud computing service system, making it both reliable and real-time in transaction processing. Eventually, the smart energy system can achieve real-time visualization, diversified interaction, smart interaction and scientific decision-making.


2016 ◽  
Vol 13 (2) ◽  
pp. 725 ◽  
Author(s):  
Agus Sutanto

Cloud Manufacturing is an advanced manufacturing model which provides services by utilizing a shared resource pool such as computers, servers, networking, Internet and application softwares. The term Cloud Manufacturing in the engineering literature is still fairly new. it comes from the term Cloud Computing which is earlier known as Internet services on demand. Here includes Software as a Service (SaaS) along with infrastructure, platform and other delieveries as a service. First introduced by F. Tao in 2011, Cloud Manufacturing combines the latest technologies such as cloud computing, internet of thing, manufacturing object virtualizations and service-oriented computing services. The advanced manufacturing service models related to this terminology will be described as literatur reviews in this paper. At the end of this paper was given a case study of the application of the Cloud Manufacturing for designing a web-based production facilities layout as a cloud software as a service for the users.Keywords: Cloud Manufacturing, layout, production facilities, web-basedAbstrakCloud Manufacturing dapat dikatakan sebagai sebuah model manufaktur yang berorientasikan pada penyediaan jasa dengan memanfaatkan sebuah resource pool yang dipakai secara bersama seperti komputer, server, jejaringan, internet dan perangkat lunak aplikasi. Istilah Cloud Manufacturing berasal dari istilah Cloud Computing yang lebih dahulu terkenal, sebagai suatu layanan perangkat lunak bagi pengguna (Software as a Service/ SaaS) dan perangkat keras yang memungkinkan penyediaan layanan tersebut. Istilah Cloud Manufacturing dalam berbagai literatur keteknikan terbilang masih baru. Pertama dicetuskan oleh F. Tao di tahun 2011, cloud manufacturing mengkombinasikan berbagai teknologi terkini seperti cloud computing, internet of thing, virtualisasi obyek manufaktur dan teknologi komputasi berorientasi pada pelayanan jasa. Perjalanan model manufaktur ini hingga literatur terakhir yang terkait akan dijelaskan pada tulisan ini. Pada bagian akhir dari tulisan ini diberikan sebuah gambaran studi kasus penerapan Cloud Manufacturing pada layanan untuk perencanaan fasilitas produksi berbasis Web, terutama untuk rancangan tataletak produksi, sebagai suatu layanan cloud perangkat lunak bagi pengguna.Kata kunci: Cloud Manufacturing, tataletak, fasilitas produksi, berbasis Web


Author(s):  
Yuriy Konovalov ◽  
Anton Vaygachev ◽  
Nikolay Levin

In relation to electric power facilities, the advantages of cloud computing are considered. It has been established that, depending on the goals and objectives solved by the energy services, various types and categories of cloud technologies are applicable. It is noted that energy companies demonstrate greater openness to new technologies, such as cloud computing, the Internet of things in the energy sector, against the backdrop of a growing digitalization trend of the country's economy as a whole


Author(s):  
Yunjie Yang ◽  
Robert X. Gao ◽  
Zhaoyan Fan ◽  
Jinjiang Wang ◽  
Lihui Wang

Comprehensive acquisition, distribution, and utilization of information about machine equipment and/or processes across spatial boundaries for improved productivity and decision have increasingly become the hallmark of advanced manufacturing. The emergence of cloud computing has created ample opportunities to achieve this goal. This paper presents a review of the state-of-the-art of prognosis technique for manufacturing and its future development motivated by the cloud infrastructure. Prevailing methods of prognosis are summarized, and their respective performance is comparatively evaluated. Basic principles and recent advances in cloud computing, as well as its application to cloud manufacturing, are introduced. Based on the survey, the concept of cloud-based prognosis is proposed, and its architecture as well as associated challenges are discussed.


2018 ◽  
Vol 10 (1) ◽  
pp. 22-31 ◽  
Author(s):  
Julia Siderska ◽  
Khair S. Jadaan

Abstract This paper introduces cloud manufacturing (CMfg) as a new manufacturing paradigm that joins the emerging technologies – such as the Internet of Things, cloud computing, and service-oriented technologies – for solving complex problems in manufacturing applications and performing large-scale collaborative manufacturing. Using scientific publications indexed in Scopus database during the period 2012–2017, the concept and fundamentals of CMfg are presented and discussed given the results of the most recent research. While focusing on the current state of the art, the recent research trends within CMfg concept were also identified. The review involved the methods of bibliometric analysis and network analysis. A prototype of CMfg and the existing related work conducted by various researchers are presented, and the map of co-occurrence is introduced to indicate the most commonly occurring issues related to the “cloud manufacturing” term. The VOSviewer software was used for this purpose. Finally, cloud-based manufacturing areas for further research are identified.


Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.


Author(s):  
Chao Qiu ◽  
Haipeng Yao ◽  
Richard Yu ◽  
Chunxiao Jiang ◽  
Song Guo

Author(s):  
Kai Zhang

With the development of emerging technology innovations such as the internet of things, classroom management has also shown an informatization trend. Among them, smart classrooms are an important part of the current university information environment construction. The purpose of this article is to build a smart classroom into an intelligent teaching environment with many functions such as intelligent perception and identification, real-time monitoring based on the internet of things technology and cloud computing technology. A questionnaire survey was conducted among freshman students in some majors, and interviews were conducted with the instructors. It was found that 92.19% of the students were satisfied with the classroom learning in the smart classroom environment, and most teachers thought that the teaching effect had been improved. Experiments have proven that the operation of smart classrooms based on the internet of things and cloud computing realizes the intelligence of teaching management services and improves the level of education informationization in schools.


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