Dynamic Supply-Demand Matching for Manufacturing Resource Services in Service-Oriented Manufacturing Systems: A Hypernetwork-Based Solution Framework

Author(s):  
Ying Cheng ◽  
Fei Tao ◽  
Lin Zhang ◽  
Dongming Zhao

Nowadays, service-oriented manufacturing (SOM) systems (e.g., cloud manufacturing (CMfg), product service systems (PSS), etc.) have attracted more and more interesting and attention of researchers from many different fields. However, because of the complex and dynamic environment, one of the most important issues need to be addressed for the promotion and application of SOM system is the dynamic supply-demand matching and scheduling of manufacturing resource services. In this paper, the issue of supple-demand matching in the typical SOM system is carried out at first. Then the dynamics and different models facing different users and different demands are analyzed respectively. As a result, a hypernetwork-based solution framework of this issue and the cloud manufacturing platform adding with the related functions are proposed with consideration of multi-objects, statistical characteristics and evolution. Finally, some future works with big data and industrial Internet of things are pointed out in the summary.

2013 ◽  
Vol 712-715 ◽  
pp. 2639-2643 ◽  
Author(s):  
Chen Yang ◽  
Zhong Jie Wang

With the development of manufacturing globalization, cloud manufacturing is becoming a hotspot of network manufacturing. In cloud manufacturing, how to response to users services demands fast and accurately is an important indicator to evaluate the performance of this system. To achieve a cloud manufacturing platform for industry manufacturing system, this paper proposes service-oriented platform architecture based on semantic. Also, to realize the manufacturing resource data virtualization, the semantic description of manufacturing cloud and the combined manufacturing ontology is established. To fulfill the requirements of providing the fit cloud service or service combination, a cloud manufacturing service discovery model is investigated on focus, the organic decomposition and combination of manufacturing cloud is completed by ontology reasoning, and intelligent search and automatic matching of manufacturing cloud is realized.


Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang

Centralized management and sharing of manufacturing resources is one of the important functions of cloud manufacturing platform. There are many kinds of manufacturing resources, centralized management, optimized scheduling, quick searching for various manufacturing resources become important issues in a cloud manufacturing platform. This paper presents a resource management model based on metadata to realize the access and unified management of the hardware resources, software resources and knowledge resources. Two management approaches respectively for static and dynamic resource data are introduced to realize resource state monitoring and real-time information collecting. On this basis, the relationship between static and dynamic data is determined and service-oriented of resources is realized.


Author(s):  
Cyril Mauger ◽  
Jean-Yves Dantan ◽  
Ali Siadat ◽  
Eric Dubois ◽  
Sylvain Kubicki

Author(s):  
Xi Vincent Wang ◽  
Xun W. Xu

In recent years, Cloud Manufacturing concept has been proposed by taking advantage of Cloud Computing to improve the performance of manufacturing industry. Cloud Manufacturing attempts can be summarized as two sectors, i.e. manufacturing version of Computing Cloud, and a distributed environment that is networked around Manufacturing Cloud. In this paper, manufacturing resource, ability and relevant essentials are discussed in the service-oriented perspective. The functional requirements of a Cloud Manufacturing environment are discussed, along with an interoperable manufacturing system framework. Cloud resource integration models are developed that are compliant with existing international standards. It is possible to achieve a collaborative, intelligent, and distributed environment via Cloud Manufacturing technologies.


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.


2012 ◽  
Vol 482-484 ◽  
pp. 2424-2429 ◽  
Author(s):  
De Yi Tai ◽  
Fu Yuan Xu

As a new service-oriented manufacturing paradigm, cloud manufacturing (CMfg) was proposed to realize the added-value and on-demand use of manufacturing resource and ability. Compared with cloud computing, the complexity of CMfg cooperation was analyzed. Supply and demand network of enterprises with multifunction and opening characteristics (SDN) was introduced as a new paradigm of manufacturing cooperation. Dynamic, diversity, fully open and inclusive cooperation are the key concept of SDN. The CMfg cooperation based on SDN was analyzed, from three-dimension of lever, function and space. A model of cooperation-oriented CMfg was built. Resource-oriented, service-oriented and innovation-oriented cooperation were proposed to prompt the implementation and the platform building of CMfg, from the business cooperation perspective.


2019 ◽  
Vol 13 (5) ◽  
pp. 691-699
Author(s):  
Doriana M. D’Addona ◽  
Alessandro A. Bruzzone ◽  
◽  

To overcome the consequences of the 2008 crisis on the real sector, especially manufacturing, Industry 4.0 gives guidelines to drive production by emphasizing technological innovations, such as industrial internet, cloud manufacturing, etc. The proposed paper focuses on cognitive manufacturing within the framework of the emergent synthesis paradigm. Specifically, the structuring process by which the manufacturing assets are organized to provide the finished goods is analyzed. The study is carried out by considering the analogies between manufacturing and other inventive processes supported by formal tools such as formal languages, semantic webs, and multi agent system.


Author(s):  
Shiqiang Yu ◽  
Pai Zheng ◽  
Chunyang Yu ◽  
Xun Xu

Rapid responsiveness to diverse customer needs is considered a competitive advantage in manufacturing business. To shrink the inquiry-to-order process, manufacturing firms will benefit a lot from building a product configuration system (PCS) which is the enabler of mass customisation (MC). PCS has matured in consumer businesses for decades but in capital goods industries, typically operating in engineer-to-order (ETO) manner, things differ a lot. It is for the reason that conventional PCS is incapable of extending customisation from order-delivery processes to the design/engineering phase. Cloud manufacturing, which is an emerging service-oriented manufacturing paradigms enabled by cyber-physical system, the Internet of Things and the Internet of Service, is promising to break the bottleneck of “ETO PCS” by the provision of technical infrastructure for product, service and data customisation. With the introducing of manufacturing-as-a-service (MaaS) concept, a product family is extended to a product-service family (PSF) in this paper for implementing in-depth product configuration process with scalable customisation depth (i.e., the degree of customisation freedom). Additionally, an approach of service delegation in product configuration process is proposed to support customer-centric product customisation. At last, the methodology proposed in this paper is validated by a case study in which the product configuration process of a complex ETO product is performed.


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