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

Author(s):  
Xi Vincent Wang ◽  
Brenda N. Lopez N ◽  
Winifred Ijomah ◽  
Lihui Wang ◽  
Jinhui Li

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 component recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture (SOA) that integrates various resources over the network. Cloud manufacturing systems are proposed worldwide to support operational manufacturing processes. In this research, Cloud manufacturing is further extended to the WEEE recovery and recycling context. The Cloud services are applied in WEEE recovery and recycling processes by tracking and management services. These services include all the stakeholders from the beginning to the end of life of the electric and electronic equipment. 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.

Author(s):  
Xi Vincent Wang ◽  
Brenda N. Lopez N. ◽  
Lihui Wang ◽  
Jinhui Li ◽  
Winifred Ijomah

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.


2021 ◽  
Vol 7 ◽  
pp. e743
Author(s):  
Seyyed-Alireza Radmanesh ◽  
Alireza Haji ◽  
Omid Fatahi Valilai

Cloud manufacturing is a new globalized manufacturing framework which has improved the performance of manufacturing systems. The service-oriented architecture as the main idea behind this framework means that all resources and capabilities are considered as services. The agents interact by way of service exchanging, which has been a part of service composition research topics. Service allocations to demanders in a cloud manufacturing system have a dynamic behavior. However, the current research studies on cloud-based service composition are mainly based on centralized global optimization models. Therefore, a distributed deployment and real-time synchronization platform, which enables the globalized collaboration in service composition, is required. This paper proposes a method of using blockchain to solve these issues. Each service composition is considered as a transaction in the blockchain concept. A block includes a set of service compositions and its validity is confirmed by a predefined consensus mechanism. In the suggested platform, the mining role in blockchain is interpreted as an endeavor for proposing the proper service composition in the manufacturing paradigm. The proposed platform has interesting capabilities as it can increase the response time using the blockchain technology and improve the overall optimality of supply-demand matching in cloud manufacturing. The efficiency of the proposed model was evaluated by investigating a service allocation problem in a cloud manufacturing system in four large scale problems. Each problem is examined in four centralized modes, two, three and four solvers in blockchain-based model. The simulation results indicate the high quality of the proposed solution. The proposed solution will lead to at least 15.14% and a maximum of 34.8 percent reduction in costs and 20 to 68.4 percent at the solving time of the problem. It is also observed that with increasing the number of solvers (especially in problems with larger dimensions) the solution speed increases sharply (more than 68% improvement in some problems), which indicates the positive effect of distribution on reducing the problem-solving time.


Author(s):  
Xi Vincent Wang ◽  
Xun Xu

In a modern manufacturing business, collaborations not only exist among its own departments, but also among business partners. Cloud Manufacturing can assist this type of collaborations. As a new paradigm of manufacturing network, Cloud Manufacturing combines Cloud Computing with networked manufacturing under service-oriented architecture. It is set to fundamentally change how products are designed, manufactured, shipped and maintained. Besides the support to collaborative and intelligent manufacturing processes, it is also possible to realize sustainability in the Cloud Manufacturing paradigm. In this paper, recent Cloud Manufacturing approaches are discussed from the sustainable manufacturing perspective. The major difference between Cloud Manufacturing and web-based manufacturing systems are specifically discussed. Cloud-based methods are analyzed to support reasonable and logic strategies. It is believed that Cloud Manufacturing can provide a strong support to the manufacturing industry, in particular for sustainability.


Author(s):  
Xi Vincent Wang ◽  
Lihui Wang

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.


2015 ◽  
pp. 392-422
Author(s):  
Zhaohao Sun ◽  
John Yearwood

Web services are playing a pivotal role in business, management, governance, and society with the dramatic development of the Internet and the Web. However, many fundamental issues are still ignored to some extent. For example, what is the unified perspective to the state-of-the-art of Web services? What is the foundation of Demand-Driven Web Services (DDWS)? This chapter addresses these fundamental issues by examining the state-of-the-art of Web services and proposing a theoretical and technological foundation for demand-driven Web services with applications. This chapter also presents an extended Service-Oriented Architecture (SOA), eSMACS SOA, and examines main players in this architecture. This chapter then classifies DDWS as government DDWS, organizational DDWS, enterprise DDWS, customer DDWS, and citizen DDWS, and looks at the corresponding Web services. Finally, this chapter examines the theoretical, technical foundations for DDWS with applications. The proposed approaches will facilitate research and development of Web services, mobile services, cloud services, and social services.


2019 ◽  
Vol 11 (3) ◽  
pp. 56 ◽  
Author(s):  
Luigi Lo Iacono ◽  
Hoai Nguyen ◽  
Peter Gorski

Contemporary software is inherently distributed. The principles guiding the design of such software have been mainly manifested by the service-oriented architecture (SOA) concept. In a SOA, applications are orchestrated by software services generally operated by distinct entities. Due to the latter fact, service security has been of importance in such systems ever since. A dominant protocol for implementing SOA-based systems is SOAP, which comes with a well-elaborated security framework. As an alternative to SOAP, the architectural style representational state transfer (REST) is gaining traction as a simple, lightweight and flexible guideline for designing distributed service systems that scale at large. This paper starts by introducing the basic constraints representing REST. Based on these foundations, the focus is afterwards drawn on the security needs of REST-based service systems. The limitations of transport-oriented protection means are emphasized and the demand for specific message-oriented safeguards is assessed. The paper then reviews the current activities in respect to REST-security and finds that the available schemes are mostly HTTP-centered and very heterogeneous. More importantly, all of the analyzed schemes contain vulnerabilities. The paper contributes a methodology on how to establish REST-security as a general security framework for protecting REST-based service systems of any kind by consistent and comprehensive protection means. First adoptions of the introduced approach are presented in relation to REST message authentication with instantiations for REST-ful HTTP (web/cloud services) and REST-ful constraint application protocol (CoAP) (internet of things (IoT) services).


Author(s):  
Xiaoqing Frank Liu ◽  
Md Rakib Shahriar ◽  
S. M. Nahian Al Sunny ◽  
Ming C. Leu ◽  
Maggie Cheng ◽  
...  

Cyber-physical systems are gaining momentum in the domain of manufacturing. Cloud Manufacturing is also revolutionizing the manufacturing world. However, although there exist numerous physical manufacturing machines which are network-ready, very few of them are operated in a networked environment due to lack of scalability of existing cyber-physical systems. Combining the features offered by cloud manufacturing and cyber-physical systems, we develop a service-oriented architecture of scalable cyber-physical manufacturing cloud with MTConnect. A testbed of cyber-physical manufacturing cloud is being developed based on the above scalable architecture. In this system, manufacturing machines and their capabilities virtualized in a cyber-physical cloud. Manufacturing operations are represented as web services so that they are accessible across the Internet. Performance of the testbed of our cyber-physical manufacturing cloud with MTConnect is evaluated and test results show that our system achieves excellent service performance of manufacturing operations across Internet.


2012 ◽  
pp. 102-125 ◽  
Author(s):  
Michael Gebhart

This chapter focuses on the identification and specification of services based on prior modeled business processes and legacy systems. The resulting service interfaces and service components formalized by using the Service oriented architecture Modeling Language (SoaML) describe the integration of legacy systems into a service-oriented application landscape. The legacy systems provide services for integration purposes and represent the implementations of service components. Additionally, the resulting architecture allows functionality of legacy systems to be replaced with functionality provided by external cloud services. According to model-driven development concepts, the formalized service interfaces and service components as part of the service designs can be used to automatically derive service interface descriptions using the Web Services Description Language (WSDL). These descriptions enable the technical integration of legacy systems. If necessary, service implementations based on the Service Component Architecture (SCA) and the Business Process Execution Language (BPEL) can be generated.


Author(s):  
Yuqian Lu ◽  
Xun Xu

Cloud manufacturing provides a way for manufacturing companies to rapidly form a flexible production network to respond to the growing demand of highly personalised products. Computer-aided Process Planning (CAPP) is an important element of production planning. However, existing methodologies failed to meet the requirements for CAPP systems in the cloud, which is a distributed, collaborative, and web-based environment. This paper discusses the requirements of CAPP systems in a cloud environment and proposes a feasible system framework for next-generation CAPP systems. The proposed system is built upon Service Oriented Architecture (SOA) architecture, which enables smooth system integration among different manufacturers. A two-stage strategy for generating feasible production plans for a given manufacturing request is discussed in this paper. Moreover, a feasible mechanism to incorporate shared engineering practices and knowledge from each manufacturer is also presented as part of the proposed system.


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