Intelligent Manufacturing Model Research Articles

3D Printing Distributed Mold Intelligent Manufacturing Model Analysis

In recent years, with the rapid development of technologies such as 3D printing, distributed manufacturing, and intelligent management, the manufacturing industry is undergoing a revolutionary transformation. The emerging 3D printing distributed mold intelligent manufacturing mode combines these cutting-edge technologies, aiming to achieve personalized and flexible production. This is leading the manufacturing industry towards intelligence and customization. This paper discusses the core concepts and key technical elements of 3D printing distributed mold intelligent manufacturing mode. This model combines 3D printing technology, distributed manufacturing, and intelligent management to achieve personalized and flexible production. From cloud intelligent platform, 3D printing manufacturing, distributed manufacturing to business model innovation, the management characteristics of this model in production, design, value chain management and business are discussed. Examples such as Quirky and 3D Systems are used to illustrate the practical application and innovation of the model. This model not only promotes innovation in manufacturing, but also brings new prospects for personalized production and consumption patterns.

An Intelligent Manufacturing Models Recommendation Model Based on Knowledge Graph and Recommendation Algorithms

With the concept of intelligent manufacturing, a variety of intelligent manufacturing models emerge. But companies don’t have enough knowledge to choose the suitable intelligent manufacturing model. To solve this problem, based on lean design principles, combined with expert knowledge and expertise, we propose an Intelligent Manufacturing Models Recommendation Model (referred to as IMMR Model). First, we categorize customer requirements into real need, customer preference and customer expectation to accurately identify customer requirements. Then, we use knowledge graph to build a professional knowledge base for intelligent manufacturing, and form customized intelligent manufacturing models based on lean design. Finally, a recommendation system is constructed by combining an ontology rule-based recommendation algorithm and a similarity-based recommendation algorithm to recommend suitable intelligent manufacturing models for different customer requirements.

Research on a New Industrial Intelligent Manufacturing Model for Robot Digital Workshop

Research on a New Industrial Intelligent Manufacturing Model for Robot Digital Workshop

Retraction Note: Intelligent manufacturing model of construction industry based on Internet of Things technology

Retraction Note: Intelligent manufacturing model of construction industry based on Internet of Things technology

Applying the blockchain-based deep reinforcement consensus algorithm to the intelligent manufacturing model under internet of things

Applying the blockchain-based deep reinforcement consensus algorithm to the intelligent manufacturing model under internet of things

Dilemmas and Strategies for Global Climate Governance in Industry 4.0

Considering the increasingly intricate international situation, global climate change is a threat to the essential interests of all the human community. With the arrival of Industry 4.0 which is based on intelligent manufacturing development combined with digital technology, the information and automation system is highly integrated with relatively mature intelligent manufacturing model. Whereas, to utilize the rapidly developing technologies in Industry 4.0 to assist global climate governance, and to establish a complete and efficient governance system in coordination with it, further discussion and research are needed. Accordingly, this paper analyzes the recent development of Industry 4.0, and in combination with the current climate governance mechanism. Based on the analysis, this paper proposes suggestions from the extant predicament of tackling global climate issues on industrial transformation and improve laws and regulations. While maintaining the legitimacy of the global climate system with the United Nations at the core, China will promote the continuous development of global climate governance from the United Nations Framework Convention on Climate Change.

Restructuring of Industrial Talents and Their Characteristics from the Perspective of Intelligent Manufacturing in Dongguan

The advancement of intelligent manufacturing in Dongguan puts forward new requirements for industrial talents, and the development of new productivity is bound to force enterprises and employees to make adaptive adjustments. The upgrading of intelligent manufacturing is not only the upgrading of intelligent machines but also the upgrading of the human brain, which includes the reshaping and cultivation of industrial talents. Based on field research, this study analyzes the different characteristics of the traditional and the new intelligent manufacturing model, as well as summarizes the characteristics of industrial talents and the changing trend of talent demand in view of the intelligent manufacturing model in Dongguan.

An integrated intelligent manufacturing model based on scheduling and reinforced learning algorithms

Using interdisciplinary technologies of Web 2.0, Artificial Intelligence, Operational Research, and Integrated Automatic Manufacturing, this model generates a plausible solution for online taking of laundry orders placed by hotels, accessing path planning through Baidu® external port for scheduling under integrated automatic manufacturing and scheduling architecture. Unlike conventional laundry, this process is transparent to the out-sourcing hotels. With APPs downloaded on their smart phones and order number assigned, the hotel quality control personnel could monitor the whole process in real time, tracking bagging and packing, routing in, scheduling and laundry, then routing back. The whole operation is transparent and efficiency is the name of the game. As a result, this innovative business model solves hotels’ dilemma and soothes contractors’ complaints at the same time. It offers not only the technical modules and infrastructures, but also the business appraisal process as well.

Architecture model proposal of innovative intelligent manufacturing in the chemical industry based on multi-scale integration and key technologies

The manufacturing of chemical products is realized through the controlled conversion and transfer of mass and energy by chemical processes that have the characteristics of heterogeneity, nonlinearity, non- equilibrium, multiple scale, and multiple temporal–spatial domains. The key to the development of intelligent manufacturing in the chemical industry is to achieve interconnected synergy and process efficiency under multi-scale conditions. On the one hand, the understanding and regulation of the multi-scale interconnection mechanism of chemical processes is important for the safe and reliable operation of chemical process systems. On the other hand, achieving the multi-scale interconnection, integration, and synergy of chemical processes allows green development of the chemical industry. However, through extensive research into the multi-scale chemical industry mechanisms, an integrated conceptual framework models for intelligent manufacturing have yet not been developed. On this basis, we propose a multi-scale and integrated intelligent manufacturing model for the chemical industry; that is, interconnected chemical engineering. This paper elaborates the concept, goals, characteristics, and architecture of interconnected chemical engineering and discusses key technologies relating to interconnected chemical engineering, including multi-level cyber-physical systems in the chemical industry, cloud manufacturing, full life-cycle security management technologies, dynamic security monitoring and decision-making models under a coupled interlocking mechanism, and blockchain-based interconnected chemical data security technologies.

Financial performance of intelligent manufacturing enterprises based on fuzzy neural network and data twinning

As we enter the 21st century, with the rapid development of information technology and advanced manufacturing technology and the rapid development of intelligent manufacturing in China, the national investment in intelligent manufacturing research has increased greatly. And in this field to establish research projects; our intelligent manufacturing has been in-depth development of the moment. Assessing the financial performance of a company is to assess the profitability, sustainability and growth ability of a listed company and plays an important role in reducing investment risk, safety and security. This document assesses the financial performance of intelligent manufacturing enterprises by studying and analyzing the improvement of financial management model in intelligent manufacturing model and the optimization of cost involved. Based on fuzzy neural network and data generation technology, this helps to improve the competitive advantage of enterprises and achieve sustainable development and change.

A new model of industrial internet of things with security mechanism—An application in complex workshop of diesel engine

Intelligent manufacturing is the future development direction of manufacturing industry. There are still some problems lurk in the traditional mode of production, such as “information island” and “network security”, which result in low productivity but high-cost production, and information leakage. With application of the new generation information technology in manufacturing field is expanded, the deep integration of information technology and manufacturing industry promotes the development of production towards intellectualization, networking, and service. Single mode of production is gradually replaced by the way of large-scale collaborative production, so the traditional industrial internet of things (IoT) and manufacturing architecture are not suitable for the needs of actual production any more. For instance, the great challenges of compatibility and coordination of interface protocols, huge data, cost, and safety. In order to solve these problems, a new model of industrial IoT with security mechanism used in intelligent workshop is proposed. Firstly, this article analyzes the current situation of manufacturing industry and information technology, a secure transmission model of industrial IoT was designed based on the new generation information technology. Secondly, combined with the structure of the IoT and the real production demands, a six-tier industrial IoT architecture based on the new generation information technology is proposed. Finally, the three dimensions of the intelligent manufacturing model are expanded according to the architecture of the IoT. Not only a six-tier intelligent manufacturing system framework based on the new generation of information technology is obtained, but also the network security mechanism is introduced. On one hand, it realizes the coordinated operation of industrial chain, supply chain, and value chain of production process, on the other hand, it also improves the networking, intellectualization, and service level of industrial production. What is more the system can also provide the reference model for the various application of IoT.

RETRACTED ARTICLE: Intelligent manufacturing model of construction industry based on Internet of Things technology

With the advent of the information age, the Internet of Things (IoTs) technology has been favored by many industries and became another in-depth revolution of information technology industry. Under such an era, the application of the IoTs technology to the construction of intelligent buildings can broaden the practicality of intelligent systems, optimize resource allocation, and enhance the management and service capabilities of intelligent buildings, thereby improving people’s quality of life. On the basis of summarizing and analyzing previous research works, this paper elaborates the development status and future challenges of the IoTs technology, analyzes the impact of IoTs technology on intelligent buildings and intelligent manufacturing, and expounds the integrated system framework of intelligent building and building information model (BIM) technology, and proposes the system design of intelligent building and the architecture model of intelligent manufacturing based on the IoTs technology. The model verification results show that the intelligent manufacturing model of construction industry can realize the integration of human society and physical system and achieve the purpose of real-time management and control of personnel, machines, equipment, and infrastructure within the whole network. The study results of this paper provide a reference for the further research on the intelligent manufacturing model of construction industry based on the IoTs technology.

Intelligent Manufacturing Mode for Sophisticated Equipment Assembly Workshop

In order to meet with the requirements of equipment network integration, flexible customized assembly, lean logistics management and control of assembly process, an intelligent manufacturing model of sophisticated equipment assembly workshop is proposed in this paper. By modeling the requirement of intelligent manufacturing mode in sophisticated equipment assembly workshop, an intelligent manufacturing technology architecture system and its operation mode are built, which include six layers as user layer, core functional layer, system integration layer, intelligent perception layer, resource layer and basic support layer. The key technologies such as the intelligent perception technology of assembly resources by using intelligent information interaction device based on IPv6 and the abnormal early warning method of critical assembly process based on BP neural network are studied. Finally, the analysis is illustrated in the case of a realistic application from a local manufacturing enterprise to highlight the proposal’s feasibility and applicability by applying the proposed intelligent manufacturing model.

Service Optimization of Internet of Manufacturing Things Based on Mixed Information Axioms

As a new intelligent manufacturing model, the Internet of Manufacturing Things (IOMT) based on the Internet of Things technology has a large amount of random, fuzzy, and uncertain information, which makes the optimization of manufacturing services face challenges. On the basis of fully considering the uncertain factors in the process of manufacturing service, a quality of service (QoS) optimization method based on mixed information axioms is proposed to solve the optimization problem of manufacturing service in the IOMT environment. The mixed uncertainty model is expounded with random variables to express the range of system and fuzzy variables to describe the design range. In order to select the best resource or sort, the fuzzy mathematics and the axiomatic theory of axiomatic design theory are combined to evaluate the coexistence of ambiguity and randomness of the QoS. Finally, the process of treatment and optimization in practical application by taking the example of a hydraulic pump product seeking service through the civil aircraft IOMT service platform is described. This example is given out to demonstrate the effectiveness of the proposed method by comparing with the traditional information axiom method, and this method extends the application scope of traditional information axioms.

A Multi-Agent Approach to the Simulation of Robotized Manufacturing Systems

The recent years of eventful industry development, brought many competing products, addressed to the same market segment. The shortening of a development cycle became a necessity if the company would like to be competitive. Because of switching to the Intelligent Manufacturing model the industry search for new scheduling algorithms, while the traditional ones do not meet the current requirements. The agent-based approach has been considered by many researchers as an important way of evolution of modern manufacturing systems. Due to the properties of the multi-agent systems, this methodology is very helpful during creation of the model of production system, allowing depicting both processing and informational part. The complexity of such approach makes the analysis impossible without the computer assistance. Computer simulation still uses a mathematical model to recreate a real situation, but nowadays the 2D or 3D virtual environments or even virtual reality have been used for realistic illustration of the considered systems. This paper will focus on robotized manufacturing system and will present the one of possible approaches to the simulation of such systems. The selection of multi-agent approach is motivated by the flexibility of this solution that offers the modularity, robustness and autonomy.