Enterprises in Cloud Manufacturing: A Preliminary Exploration

Author(s):  
Yongkui Liu ◽  
Xun Xu ◽  
Ananth Srinivasan ◽  
Lin Zhang

Cloud manufacturing is a new manufacturing paradigm in which manufacturing resources and capabilities offered by different enterprises are provided as cloud-based services over the Internet. In addition to the cloud manufacturing platform, enterprises as resource providers are also essential part of a cloud manufacturing system as customer orders that are submitted to the cloud platform will ultimately need to be dispatched to enterprises’ production sites for execution. So far, however, issues concerning enterprises in cloud manufacturing has attracted little attention of researchers, and the most frequently mentioned issue in existing research that are concerned with enterprises is how to connect enterprises’ resources to the cloud infrastructure. This, to a large extent, hinders the development and implementation of cloud manufacturing as the lack of research on enterprises fails to uncover the requirements for enterprises in cloud manufacturing (i.e. Cloud Manufacturing Enterprises, CMEs), and thus enterprises have no reference for evaluating the changes that need to be made to adopt this new manufacturing paradigm. This paper focuses on this important issue and conducts a preliminary exploration on CMEs. We first analyze the requirements for CMEs, and then discuss some critical issues with CMEs in detail, including enterprise information systems, enterprise architecture, and enterprise modeling.

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):  
Mara Nikolaidou ◽  
Nancy Alexopoulou

System design is an important phase of system engineering, determining system architecture to satisfy specific requirements. System design focuses on analyzing performance requirements, system modeling and prototyping, defining and optimizing system architecture, and studying system design tradeoffs and risks. Modern enterprise information systems (EIS) are distributed systems usually built on multitiered client server architectures, which can be modeled using well-known frameworks, such as Zachman enterprise architecture or open distributed processing reference model (RM-ODP). Both frameworks identify different system models, named views, corresponding to discrete stakeholder’s perspectives, specific viewpoints, and could serve as a basis for model-based system design. The main focus of this chapter is to explore the potential of model-based design for enterprise information systems (EIS). To this end, the basic requirements for model-based EIS design are identified, while three alternative approaches are discussed based on the above requirements, namely, rational unified process for systems engineering (RUP SE), UML4ODP and EIS design framework.


2019 ◽  
Vol 04 (02) ◽  
pp. 1950001 ◽  
Author(s):  
Anjee Gorkhali ◽  
Li Da Xu

Systems theory is one of the most important and well-used concept to explain the phenomenon in social sciences. Therefore, systems science plays an important role in explaining many of the phenomena in information systems research. Enterprise Systems (ES), Enterprise Information Systems (EIS) and Enterprise Architecture (EA) are three such emerging technologies in which systems’ perspective plays an important role in explaining the growth and development of these technologies. However, there is lack of literature that illustrates the development and the impact of systems science in these three technologies. This research carefully collects and studies 106 existing literature in the field of ES, EA and EIS, and a summary review of all the latest developments in the ways systems theory has been implemented to these three fields as well as different areas of these three technologies. In the conclusion, three future trends are concluded from the review.


Author(s):  
István Mezgár ◽  
Gianfranco Pedone

Cloud computing (CC) is generating new computing and business models because of its service-based nature, which enables collaboration and data exchange at higher level, more flexibility with better efficiency and parallel decreasing costs. Manufacturing environments can also benefit from cloud technology and follow fast changes in market demands. In these new scenarios, interoperability has vital importance in the operation and in the interaction among industrial realizations of cyber-physical systems. The chapter introduces the different cloud models and the interoperability issues concerning connected enterprise information systems. Various standardization frameworks have been developed for homogeneous integration of IT models in industrial environments: the IIRA and the RAMI 4.0 are the best-known ones. The chapter introduces both architectures; their methodological approach to industrial integration efforts and how integration can be realized through the OPC Unified Architecture. Finally, the authors propose a basic conceptual model for cloud manufacturing.


Author(s):  
Antoine Trad

In this chapter, the author bases his research project on his authentic mixed multidisciplinary applied mathematical model for transformation projects. His mathematical model, named the applied holistic mathematical model for projects (AHMM4P), is supported by a tree-based heuristics structure. The AHMM4P is similar to the human empirical decision-making process and is applicable to any type of project; it is aimed to support the evolution of organisational, national, or enterprise transformation initiatives. The AHMM4P can be used for the development of the cybersecurity subsystems, enterprise information systems, and their decision-making systems, based on artificial intelligence, data sciences, enterprise architecture, big data, deep learning, and machine learning. The author attempts to prove that an AHMM4P-based action research approach can unify the currently frequently-used siloed MLI4P and DLI4P trends.


2014 ◽  
Vol 624 ◽  
pp. 687-693
Author(s):  
Pei Zhi Liu ◽  
Jun Ji ◽  
Wei Yan Chai ◽  
Xiao Chuan Zhao

To realize sharing and synergy between manufacturing resources and manufacturing capability in cloud manufacturing, the manufacturing service model is divided into function model and non-function model. Elements and description of function model is given, and function model determines manufacturing services’ combination planning. Also the composition of non-function model and each part’s weight is presented, and non-function model is the basis to evaluate the priority of manufacturing services. For the case of resource in cloud manufacturing services, sharing ontology and private ontology are researched. Sharing ontology is common description of the whole manufacturing domain, and private ontology is individual description of a specific manufacturing platform. The transformation between sharing ontology and private ontology provides a way for isomerism resources to invoke each other.


2010 ◽  
pp. 1560-1570
Author(s):  
P. H. Osanna ◽  
N. M. Durakbasa ◽  
M. E. Yurci ◽  
J. M. Bauer

The importance of small and medium sized enterprises (SMEs) is today far beyond any discussion in countries all over the world - in European countries as well as in Asia and in USA, in Africa as well as in Latin America. To meet market demands in the present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes. With the support of artificial intelligence and modern information technology, it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of quality management and metrology. This will be especially possible on the basis of the innovative concept and model for modern enterprises the so-called “Multi-Functions Integrated Factory – MFIF” that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs.


Author(s):  
P. H. Osanna ◽  
N. M. Durakbasa ◽  
M. E. Yurci ◽  
J. M. Bauer

The importance of small and medium sized enterprises (SMEs) is today far beyond any discussion in countries all over the world - in European countries as well as in Asia and in USA, in Africa as well as in Latin America. To meet market demands in the present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes. With the support of artificial intelligence and modern information technology, it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of quality management and metrology. This will be especially possible on the basis of the innovative concept and model for modern enterprises the so-called “Multi-Functions Integrated Factory – MFIF” that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Linan Zhu ◽  
Yanwei Zhao ◽  
Wanliang Wang

Cloud Manufacturing and Cloud Service is currently one of the main directions of development in the manufacturing industry. Under the Cloud Manufacturing environment, the characteristics of publishing, updating, searching, and accessing manufacturing resources are massive, complex, heterogeneous, and so forth. A bilayer manufacturing resource model with separation of Cloud End and Cloud Manufacturing Platform is proposed in this paper. In Cloud End, manufacturing resources are divided into single resource and complex resource, and a basic data model of manufacturing resources oriented to enterprise interior is established to store the physical characteristics. In Cloud Manufacturing Platform, a resource service attribute model oriented to actual users is established to store the service characteristics. This model is described in detail and realized with stateful Web Service Description Language (WSDL) document. An example is provided for illustrating the implementation of the concept.


2017 ◽  
Author(s):  
Rintho Rante Rerung

Department of Culture and Tourism of Tana Toraja is one of the technical agencies in the Government of Tana Toraja. One of the main functions of this institute are to develop tourism to get economic and social benefits from tourism activities. An enterprise information systems based on information technology should be planned to provide an overview of information systems to support business process services. The planning is used EAP models. EAP models will define the business requirements and the architecture. From the research mentioned above, it has found that the application required in the information system is tourism website, financial application, human resources department (HRD) application, and Controlling and Evaluation application


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