Intelligent Manufacturing in the Context of Industry 4.0: A Review

Today, the manufacturing industry is aiming to improve competitiveness through the convergence with cutting-edge ICT technologies in order to secure a new growth engine. Smart Manufacturing, which is the fourth revolution in the manufacturing industry and is also considered as a new paradigm, is the collection of cutting-edge technologies that support effective and accurate engineering decision-making in real time through the introduction of various ICT technologies and the convergence with the existing manufacturing technologies. This paper surveyed and analyzed various articles related to Smart Manufacturing, identified the past and present levels, and predicted the future. For these purposes, 1) the major key technologies related to Smart Manufacturing were identified through the analysis of the policies and technology roadmaps of Germany, the U.S., and Korea that have government-driven leading movements for Smart Manufacturing, 2) the related articles on the overall Smart Manufacturing concept, the key system structure, or each key technology were investigated, and, finally, 3) the Smart Manufacturing-related trends were identified and the future was predicted by conducting various analyses on the application areas and technology development levels that have been addressed in each article.

Smart manufacturing: Past research, present findings, and future directions

Data-driven smart manufacturing

Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

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Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives

Currently, the typical challenges that manufacturing enterprises faced are the lack of timely, accurate and consistent information of manufacturing things resources during manufacturing execution. Real-time information visibility and traceability allows decision makers to make better-informed shop-floor decisions. In this article, a real-time information capturing and integration architecture of the internet of manufacturing things IoMT is presented to provide a new paradigm by extending the techniques of IoT to manufacturing field. Under this architecture and its key components, the manufacturing things such as operators, machines, pallets, materials etc. can be embedded with sensors, they can interact with each other. Considering the challenges of processing a huge amount of real-time data into useful information and exchange it among the heterogeneous application systems, a Real-time Manufacturing Information Integration Service RTMIIS has been designed to achieve seamless dual-way connectivity and interoperability among enterprise layer, workshop floor layer and machine layer. Finally, a near-life scenario has been used to illustrate the proof-of-concept application of the proposed IoMT.

Real-time information capturing and integration framework of the internet of manufacturing things

Multi-agent based real-time production scheduling method for radio frequency identification enabled ubiquitous shopfloor environment

The invention provides an embedded panoramic display device and method served for automobile safe driving. The embedded panoramic display device comprises an ultra-wide field camera, a video collecting card, a panoramic display CPU (central processing unit), a memory and a display; analogue signals collected by the ultra-wide field camera are converted into digital signals through the video collecting card; the digital signals are transmitted to an image processing module consisting of the panoramic display CPU and the memory to carry out image correction; and a corrected image and an automobile top view are spliced in an image processing module, and are output on the display. With the adoption of the embedded panoramic display device and method, provided by the invention, scenes around an automobile body are directly displayed through a display screen; when an automobile normally drives, panoramic assistance is provided for a driver driving under a crowded road condition; and meanwhile, a multi-vision video switching function is provided, more abundant and clear images in a dead area can be provided for a condition that the automobile drives from a ring road to a main road in an inclined manner or special road conditions, and the effective scheme of solving the potential safety hazards because the vision range of the driver is limited can be provided.

Embedded panoramic display device and method served for automobile safe driving

Real-time information driven intelligent navigation method of assembly station in unpaced lines

The invention provides a material delivery task dynamic distribution method based on an internet of things technology. Based on the real-time state information of carrying carriers and the work mode that the carrying carriers scramble for tasks, the most suitable material carrying task set is actively obtained, and an efficient and feasible task distribution model and method are provided for the timely distribution of production materials from the three aspects of the dynamic distribution strategy of the tasks, the task dynamic distribution method based on the real-time state of the carrying carriers and the combinatorial optimization of the tasks,. As the real-time position information after the carrying carriers unload, the task dynamic combinatorial optimization facing to the capacity of the carrying carriers and the like are fully considered in the method, compared with the traditional material delivery task optimization method, the method has the advantages that the defects that the computation complexity of an original distribution strategy is high, the optimization time is long, and the change of material delivery tasks is difficultly dynamically responded are overcome, the efficiency of workshop distribution is improved, the carrying cost is saved, and the digital precise distribution and the intellectualization of material distribution management are better realized.

Teng Yang

Papers

Real-time information capturing and integration framework of the internet of manufacturing things

Multi-agent based real-time production scheduling method for radio frequency identification enabled ubiquitous shopfloor environment

Embedded panoramic display device and method served for automobile safe driving

Real-time information driven intelligent navigation method of assembly station in unpaced lines

Material delivery task dynamic distribution method based on internet of things technology