A Hybrid Similarity-Aware Clustering Approach in Cloud Manufacturing Systems

IE&EM 2019 ◽  
2020 ◽  
pp. 101-108
Author(s):  
Jian Liu ◽  
Youling Chen
Keyword(s):  
Manufacturing Systems ◽  
Cloud Manufacturing ◽  
Clustering Approach

Interoperability in Cloud Manufacturing and Practice on Private Cloud Structure for SMEs

2017 ◽  
Author(s):  
Xi Vincent Wang ◽  
Lihui Wang
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
Security Requirements ◽  
Research Trend ◽  
Safety Regulations ◽  
Multiple Challenges ◽  
New Research

In recent years, Cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of production paradigm. However, the interoperability issue still requires more research due to the heterogeneous environment caused by multiple Cloud services and applications developed in different platforms and languages. Therefore, this research aims to combat the interoperability issue in Cloud Manufacturing System. During implementation, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), are normally short of budget for hardware and software investment due to financial stresses, but they are facing multiple challenges required by customers at the same time including security requirements, safety regulations. Therefore in this research work, the proposed Cloud manufacturing system is specifically tailored for SMEs.

scholarly journals Dynamic Pricing in Cloud Manufacturing Systems under Combined Effects of Consumer Structure, Negotiation, and Demand

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Wei Peng ◽  
Wei Guo ◽  
Lei Wang ◽  
Ruo-Yu Liang
Keyword(s):  
Dynamic Pricing ◽  
Manufacturing Systems ◽  
Wholesale Price ◽  
Cloud Manufacturing ◽  
High Ratio ◽  
Reservation Price ◽  
Combined Effects ◽  
Constant Elasticity ◽  
Price Increases ◽  
Linear Demand

In this study, we proposed a game-theory based framework to model the dynamic pricing process in the cloud manufacturing (CMfg) system. We considered a service provider (SP), a broker agent (BA), and a dynamic service demander (SD) population that is composed of price takers and bargainers in this study. The pricing processes under linear demand and constant elasticity demand were modeled, respectively. The combined effects of SD population structure, negotiation, and demand forms on the SP’s and the BA’s equilibrium prices and expected revenues were examined. We found that the SP’s optimal wholesale price, the BA’s optimal reservation price, and posted price all increase with the proportion of price takers under linear demand but decrease with it under constant elasticity demand. We also found that the BA’s optimal reservation price increases with bargainers’ power no matter under what kind of demand. Through analyzing the participants’ revenues, we showed that a dynamic SD population with a high ratio of price takers would benefit the SP and the BA.

scholarly journals Scheduling in cloud manufacturing systems: Recent systematic literature review

2020 ◽  
Vol 17 (6) ◽  
pp. 7378-7397
Author(s):  
Agustín Halty ◽  
◽  
Rodrigo Sánchez ◽  
Valentín Vázquez ◽  
Víctor Viana ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Manufacturing Systems ◽  
Cloud Manufacturing

Remote equipment security in cloud manufacturing systems

2016 ◽  
Vol 11 (2) ◽  
pp. 126 ◽  
Author(s):  
Ben Buckholtz ◽  
Ihab Ragai ◽  
Lihui Wang
Keyword(s):  
Manufacturing Systems ◽  
Cloud Manufacturing

scholarly journals A Smart Cloud-Based System for the WEEE Recovery/Recycling

2014 ◽  
Author(s):  
Xi Vincent Wang ◽  
Brenda N. Lopez N. ◽  
Lihui Wang ◽  
Jinhui Li ◽  
Winifred Ijomah
Keyword(s):  
Manufacturing Systems ◽  
Service Oriented Architecture ◽  
Intelligent System ◽  
Hazardous Materials ◽  
Cloud Manufacturing ◽  
Data Management System ◽  
Manufacturing Processes ◽  
Component Level ◽  
Recovery System ◽  
Service Oriented

Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.

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