Applications of artificial intelligence in intelligent manufacturing: a review
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paper_title: Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet

paper_content:

A worldwide movement in advanced manufacturing countries is seeking to reinvigorate (and revolutionize) the industrial and manufacturing core competencies with the use of the latest advances in information and communications technology. Visual computing plays an important role as the "glue factor" in complete solutions. This article positions visual computing in its intrinsic crucial role for Industrie 4.0 and provides a general, broad overview and points out specific directions and scenarios for future research.
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paper_title: A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems

paper_content:

Abstract Recent advances in manufacturing industry has paved way for a systematical deployment of Cyber-Physical Systems (CPS), within which information from all related perspectives is closely monitored and synchronized between the physical factory floor and the cyber computational space. Moreover, by utilizing advanced information analytics, networked machines will be able to perform more efficiently, collaboratively and resiliently. Such trend is transforming manufacturing industry to the next generation, namely Industry 4.0. At this early development phase, there is an urgent need for a clear definition of CPS. In this paper, a unified 5-level architecture is proposed as a guideline for implementation of CPS.
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paper_title: A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0

paper_content:

Smart factories Industry 4.0 on the basis of collaborative cyber-physical systems represents a future form of industrial networks. Supply chains in such networks have dynamic structures which evolve over time. In these settings, short-term supply chain scheduling in smart factories Industry 4.0 is challenged by temporal machine structures, different processing speed at parallel machines and dynamic job arrivals. In this study, for the first time, a dynamic model and algorithm for short-term supply chain scheduling in smart factories Industry 4.0 is presented. The peculiarity of the considered problem is the simultaneous consideration of both machine structure selection and job assignments. The scheduling approach is based on a dynamic non-stationary interpretation of the execution of the jobs and a temporal decomposition of the scheduling problem. The algorithmic realisation is based on a modified form of the continuous maximum principle blended with mathematical optimisation. A detailed theoretical analysis of the temporal decomposition and computational complexity is performed. The optimality conditions as well as the structural properties of the model and the algorithm are investigated. Advantages and limitations of the proposed approach are discussed.
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paper_title: Cloud Manufacturing Platform: Operating Paradigm, Functional Requirements, and Architecture Design

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Cloud manufacturing is emerging as a new promising business paradigm as well as an integrated technical approach, contributing to the shaping of a highly-collaborative, knowledge-intensive, service-oriented and eco-efficient manufacturing industry. The following research issues concerning cloud manufacturing platform, what users can achieve with the platform, what the platform can do, and how to design it, play crucial roles in this new area. This paper proposes a cloud manufacturing paradigm that depicts a typical scenario which can provide an explanation for the concept of cloud manufacturing and makes the mysterious “cloud” transparent. Then the functional requirements of cloud manufacturing platform are investigated to specify design objectives. Based on these, the paper presents the design of MfgCloud, a cloud manufacturing platform prototype. In discussion of the main components of MfgCloud, the specific concepts different from those corresponding terms in IT area are also defined and given their implementation mechanisms. Consequently, this paper proposes a new point of view for the concept of cloud manufacturing, and accordingly presents a reference design of cloud manufacturing platform.Copyright © 2013 by ASME
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paper_title: Cloud manufacturing:a new service-oriented networked manufacturing model

paper_content:

To solve more complex manufacturing problems and perform larger-scale collaborative manufacturing,the impediments to practical application and development of Networked Manufacturing(NM) were analyzed.Technologies,such as cloud computing,cloud security,high performance computing,Internet of things which were used to solve the mentioned impediments,were briefly described.Based on it,a new service-oriented networked manufacturing model called Cloud Manufacturing(CMfg)was put forward.Then,the concept of CMfg was defined.And differences among CMfg,application service provider and manufacturing grid were discussed.CMfg architecture was also proposed,key technologies for implementing CMfg were studied and preliminary research results were introduced.Finally,an application prototype of CMfg,i.e.,COSIM-SCP,was presented.
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Title: Applications of artificial intelligence in intelligent manufacturing: a review

Section 1: Introduction
Description 1: This section introduces the current technological and industrial revolution focusing on the integration of AI with manufacturing processes to enhance the national economy, security, and well-being.

Section 2: New development of artificial intelligence
Description 2: This section covers the evolution of AI into a new phase (AI 2.0) driven by big data, the Internet, and other emerging technologies, highlighting market demand and technological advancements in various smart systems.

Section 3: Artificial intelligence facilitates the development of intelligent manufacturing
Description 3: This section discusses how AI applications foster new manufacturing models, methods, and ecosystems by improving efficiency, quality, and market competitiveness.

Section 4: New models, means, and forms of intelligent manufacturing
Description 4: This section details innovative manufacturing models, integration means, and ecosystem forms, emphasizing the role of AI in transforming production and services.

Section 5: Intelligent manufacturing system architecture
Description 5: This section outlines the architectural layers of intelligent manufacturing systems, including resources/capacities, networks, service platforms, intelligent cloud services, and security management.

Section 6: Resources/capacities layer
Description 6: This section describes the various hard and soft resources and manufacturing capacities required in the intelligent manufacturing system.

Section 7: Ubiquitous network layer
Description 7: This section focuses on the network layers necessary for communication, sensing, and business operations within the intelligent manufacturing system.

Section 8: Service platform layer
Description 8: This section elaborates on the components of the service platform layer, including virtual resources, intelligent support functions, and user interfaces to support intelligent manufacturing.

Section 9: Intelligent cloud service application layer
Description 9: This section highlights the application modes of intelligent cloud services, emphasizing autonomous processes and human-machine interaction.

Section 10: Security management and standard specifications
Description 10: This section discusses the importance of security management and standardization in protecting and regulating intelligent manufacturing systems.

Section 11: Intelligent manufacturing technology system
Description 11: This section outlines the technological components and systems essential for implementing intelligent manufacturing, ranging from general technology to specific life cycle and supporting technologies.

Section 12: Evaluation of the application of AI in intelligent manufacturing
Description 12: This section provides criteria for evaluating AI applications in intelligent manufacturing, focusing on technology assessment, industry development, and application effects.

Section 13: Overseas development
Description 13: This section reviews the strategic plans and technological advancements in intelligent manufacturing by developed countries like the US and Germany, highlighting their milestones and demonstrative applications.

Section 14: Domestic development
Description 14: This section discusses China's strategic initiatives and progress in intelligent manufacturing, emphasizing the need for transforming its manufacturing industry using AI.

Section 15: Research direction of AI 2.0 in intelligent manufacturing industry
Description 15: This section proposes future research directions for integrating AI 2.0 in intelligent manufacturing, focusing on application technologies, industry development, and typical paradigms.

Section 16: Application technologies of intelligent manufacturing
Description 16: This section outlines specific intelligent manufacturing application technologies, focusing on system frameworks, platform technologies, and key life cycle activities.

Section 17: Development of the intelligent manufacturing industry
Description 17: This section discusses research directions in developing intelligent products, industrial tools, and multi-layer intelligent manufacturing systems.

Section 18: Typical paradigms of intelligent manufacturing
Description 18: This section highlights various demonstration paradigms in intelligent manufacturing, including model-driven collaboration, cloud services, intelligent workshops, and autonomous manufacturing units.