/pdf/a-break-in-the-clouds-towards-a-cloud-definition-svovsw1r5a.pdf

A Break in the Clouds: Towards a Cloud Definition

Manufacturing industry profoundly impact economic and societal progress. As being a commonly accepted term for research centers and universities, the Industry 4.0 initiative has received a splendid attention of the business and research community. Although the idea is not new and was on the agenda of academic research in many years with different perceptions, the term “Industry 4.0” is just launched and well accepted to some extend not only in academic life but also in the industrial society as well. While academic research focuses on understanding and defining the concept and trying to develop related systems, business models and respective methodologies, industry, on the other hand, focuses its attention on the change of industrial machine suits and intelligent products as well as potential customers on this progress. It is therefore important for the companies to primarily understand the features and content of the Industry 4.0 for potential transformation from machine dominant manufacturing to digital manufacturing. In order to achieve a successful transformation, they should clearly review their positions and respective potentials against basic requirements set forward for Industry 4.0 standard. This will allow them to generate a well-defined road map. There has been several approaches and discussions going on along this line, a several road maps are already proposed. Some of those are reviewed in this paper. However, the literature clearly indicates the lack of respective assessment methodologies. Since the implementation and applications of related theorems and definitions outlined for the 4th industrial revolution is not mature enough for most of the reel life implementations, a systematic approach for making respective assessments and evaluations seems to be urgently required for those who are intending to speed this transformation up. It is now main responsibility of the research community to developed technological infrastructure with physical systems, management models, business models as well as some well-defined Industry 4.0 scenarios in order to make the life for the practitioners easy. It is estimated by the experts that the Industry 4.0 and related progress along this line will have an enormous effect on social life. As outlined in the introduction, some social transformation is also expected. It is assumed that the robots will be more dominant in manufacturing, implanted technologies, cooperating and coordinating machines, self-decision-making systems, autonom problem solvers, learning machines, 3D printing etc. will dominate the production process. Wearable internet, big data analysis, sensor based life, smart city implementations or similar applications will be the main concern of the community. This social transformation will naturally trigger the manufacturing society to improve their manufacturing suits to cope with the customer requirements and sustain competitive advantage. A summary of the potential progress along this line is reviewed in introduction of the paper. It is so obvious that the future manufacturing systems will have a different vision composed of products, intelligence, communications and information network. This will bring about new business models to be dominant in industrial life. Another important issue to take into account is that the time span of this so-called revolution will be so short triggering a continues transformation process to yield some new industrial areas to emerge. This clearly puts a big pressure on manufacturers to learn, understand, design and implement the transformation process. Since the main motivation for finding the best way to follow this transformation, a comprehensive literature review will generate a remarkable support. This paper presents such a review for highlighting the progress and aims to help improve the awareness on the best experiences. It is intended to provide a clear idea for those wishing to generate a road map for digitizing the respective manufacturing suits. By presenting this review it is also intended to provide a hands-on library of Industry 4.0 to both academics as well as industrial practitioners. The top 100 headings, abstracts and key words (i.e. a total of 619 publications of any kind) for each search term were independently analyzed in order to ensure the reliability of the review process. Note that, this exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity. It seems that these principles have taken the attention of the scientists to carry out more variety of research on the subject and to develop implementable and appropriate scenarios. A comprehensive taxonomy of Industry 4.0 can also be developed through analyzing the results of this review.

Literature review of Industry 4.0 and related technologies

With the developments and applications of the new information technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, a smart manufacturing era is coming. At the same time, various national manufacturing development strategies have been put forward, such as Industry 4.0 , Industrial Internet , manufacturing based on Cyber-Physical System , and Made in China 2025 . However, one of specific challenges to achieve smart manufacturing with these strategies is how to converge the manufacturing physical world and the virtual world, so as to realize a series of smart operations in the manufacturing process, including smart interconnection, smart interaction, smart control and management, etc. In this context, as a basic unit of manufacturing, shop-floor is required to reach the interaction and convergence between physical and virtual spaces, which is not only the imperative demand of smart manufacturing, but also the evolving trend of itself. Accordingly, a novel concept of digital twin shop-floor (DTS) based on digital twin is explored and its four key components are discussed, including physical shop-floor, virtual shop-floor, shop-floor service system, and shop-floor digital twin data. What is more, the operation mechanisms and implementing methods for DTS are studied and key technologies as well as challenges ahead are investigated, respectively.

Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing

The development of the fifth generation (5G) wireless networks is gaining momentum to connect almost all aspects of life through the network with much higher speed, very low latency and ubiquitous connectivity. Due to its crucial role in our lives, the network must secure its users, components, and services. The security threat landscape of 5G has grown enormously due to the unprecedented increase in types of services and in the number of devices. Therefore, security solutions if not developed yet must be envisioned already to cope with diverse threats on various services, novel technologies, and increased user information accessible by the network. This paper outlines the 5G network threat landscape, the security vulnerabilities in the new technological concepts that will be adopted by 5G, and provides either solutions to those threats or future directions to cope with those security challenges. We also provide a brief outline of the post-5G cellular technologies and their security vulnerabilities which is referred to as future generations (XG) in this paper. In brief, this paper highlights the present and future security challenges in wireless networks, mainly in 5G, and future directions to secure wireless networks beyond 5G.

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Security for 5G and Beyond

Business process management (BPM) aims to optimize business processes to achieve better system performance such as higher profit, quicker response, and better services. BPM systems in Industry 4.0 are required to digitize and automate business process workflows and support the transparent interoperations of service vendors. The critical bottleneck to advance BPM systems is the evaluation, verification, and transformation of trustworthiness and digitized assets. Most of BPM systems rely heavily on domain experts or third parties to deal with trustworthiness. In this paper, an automated BPM solution is investigated to select and compose services in open business environment, Blockchain technology (BCT) is explored and proposed to transfer and verify the trustiness of businesses and partners, and a BPM framework is developed to illustrate how BCT can be integrated to support prompt, reliable, and cost-effective evaluation and transferring of Quality of Services in the workflow composition and management.

Blockchain-based business process management (BPM) framework for service composition in industry 4.0

This paper presents an approach to using semantic web services in managing production processes. In particular, the devices in the production systems considered expose web service interfaces through which they can then be controlled, while semantic web service descriptions formulated in web ontology language for services (OWL-S) make it possible to determine the conditions and effects of invoking the web services. The approach involves three web services that cooperate to achieve production goals using the domain web services. In particular, one of the three services maintains a semantic model of the current state of the system, while another uses the model to compose the domain web services so that they jointly achieve the desired goals. The semantic model of the system is automatically updated based on event notifications sent by the domain services.

Semantics-Based Composition of Factory Automation Processes Encapsulated by Web Services

Application of Semantic Web Services (SWS) relies on ontologies which model existing explicit knowledge in problem domain. Adaptation of SWS to manufacturing industries rises a number of important questions among which is the separation of responsibilities between different vendors starting from system component manufacturers and ending with the system user. This paper gives a possible solution to settle these responsibilities and describes the architecture for the orchestration of semantic web services.

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Semantic Web Services framework for manufacturing industries

A Semantic Web Services-based approach for production systems control

The control of manufacturing systems is traditionally addresses the needs of products or product family that the system is going to manufacture. That is, the needs for the products are defined prior to the design of the production line. Although some degree of flexibility (in the terms of product family) can be implemented in the system, such systems may still have limitations in not allowing rapid reconfiguration as a new product with unforeseen needs arrives at runtime. Such a scenario usually requires (partial) reprogramming of the production line to accommodate new products. This paper presents a service-oriented orchestration framework for seamless integration of service-enabled devices to allow rapid reconfiguration and dynamic discovery of the devices abstracted as web services.

Service oriented architecture in developing of loosely-coupled manufacturing systems

Traditionally, the application of services can be attributed to so-called office automation. While opening new horizons in software development life cycle, web services have gained increased attention in other domains as well, including the domain of factory automation (software development for factory automation). Coming from pure software to the physical realm involving industrial equipment, the application of web services sets some additional demands for these domains where no simple roll-back or application recovery procedures can easily be implemented due to operations on the states in the physical world. This paper discusses orchestration of web services with BPEL and a set of software tools for developing BPEL processes considered for a simple case study. The example is taken from the domain of factory automation in order to highlight some of the main issues arising during the process of service orchestration.

Juha Puttonen

Papers

Semantics-Based Composition of Factory Automation Processes Encapsulated by Web Services

Semantic Web Services framework for manufacturing industries

A Semantic Web Services-based approach for production systems control

Service oriented architecture in developing of loosely-coupled manufacturing systems

An application of BPEL for service orchestration in an industrial environment