Trends and Prospect of Manufacturing Intelligence

2010 ◽  
pp. 357-387
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Artificial Intelligence ◽  
Process Planning ◽  
21St Century ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing Technology ◽  
Digital Manufacturing ◽  
Manufacturing Intelligence ◽  
Market Product ◽  
Digital Machining

Manufacturing Intelligence (MI) focuses on how to adopt artificial intelligence and computing intelligence methods to solve problems in digital manufacturing, such as intelligent digital scheduling, intelligent digital designing, intelligent digital machining, intelligent digital controlling, intelligent digital process planning, intelligent digital diagnosis and maintenance. In order to meet the needs of a changing market, manufacturing systems have been in a constant process of development and the pursuit of perfection. In this chapter, the various characteristics of the manufacturing industry in the 21st century are analyzed from the perspective of society, market, product, enterprise and manufacturing technology. Then a brief review of MI in previous chapters is presented. The trends and prospects of MI, adapted to the development of manufacturing, are then discussed, followed lastly by a summary of this chapter.

scholarly journals Performance of Sustainable Development and Technological Innovation Based on Green Manufacturing Technology of Artificial Intelligence and Block Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Xiangyu Jiang ◽  
Gu-Hong Lin ◽  
Jui-Chan Huang ◽  
I-Hsiang Hu ◽  
Yen-Chun Chiu
Keyword(s):  
Artificial Intelligence ◽  
Sustainable Development ◽  
Manufacturing Industry ◽  
Technology Innovation ◽  
Green Manufacturing ◽  
Green Technology ◽  
Manufacturing Technology ◽  
The Sustainable Development ◽  
Blockchain Technology ◽  
Green Manufacturing Technology

The powerful advanced manufacturing industry is the most powerful driving force for economic development and growth, and it is also the main source of environmental pollution. Artificial intelligence and blockchain technology are recognized as a breakthrough technology that can be widely used, changing the way the entire society and economy operate. The main constraints affecting the sustainable development of the manufacturing industry are ecological deterioration and resource shortage, but the development of artificial intelligence and blockchain technology provides new ideas for solving manufacturing problems. Based on this, this paper proposes a research on the sustainable development performance of green manufacturing technology innovation based on artificial intelligence and blockchain technology. This paper deeply grasps the essence and connotation of artificial intelligence and blockchain technology, analyzes its specific application form and research background, searches for the effective effect of manufacturing technology innovation and green manufacturing performance path, and clarifies the mechanism between the two. All measurement items in the questionnaire used in this article use Likert5 scale and use 1–5 options to indicate the degree of conformity with the actual situation of the enterprise. The results show that the average green manufacturing capacity of each measurement item is between 3.18∼3.97, indicating that the company's green manufacturing capacity is relatively high. Among them, the ability of green technology innovation is relatively high, indicating that most companies have noticed that the improvement of the ability of green technology innovation plays a vital role in the future sustainable development of enterprises. Moreover, more and more companies are paying attention to the latest applications of blockchain technology, which can effectively promote the development of enterprises.

scholarly journals An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5480 ◽  
Author(s):  
Panagiotis Trakadas ◽  
Pieter Simoens ◽  
Panagiotis Gkonis ◽  
Lambros Sarakis ◽  
Angelos Angelopoulos ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Business Intelligence ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Shop Floor ◽  
Efficient Production ◽  
Human In The Loop ◽  
Industrial Iot ◽  
Potential Applications

The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept. Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics efforts to support more informed business intelligence decisions. However, these results are currently only used in isolated and dispersed parts of the production process. At the same time, full integration of artificial intelligence (AI) in all parts of manufacturing systems is currently lacking. In this context, the goal of this manuscript is to present a more holistic integration of AI by promoting collaboration. To this end, collaboration is understood as a multi-dimensional conceptual term that covers all important enablers for AI adoption in manufacturing contexts and is promoted in terms of business intelligence optimization, human-in-the-loop and secure federation across manufacturing sites. To address these challenges, the proposed architectural approach builds on three technical pillars: (1) components that extend the functionality of the existing layers in the Reference Architectural Model for Industry 4.0; (2) definition of new layers for collaboration by means of human-in-the-loop and federation; (3) security concerns with AI-powered mechanisms. In addition, system implementation aspects are discussed and potential applications in industrial environments, as well as business impacts, are presented.

A Novel Framework in Manufacturing Automation to Implement Cyber-Manufacturing Systems

2018 ◽  
Author(s):  
David A. Guerra-Zubiaga ◽  
Kathy S. Schwaig ◽  
Mason B. Felix ◽  
John D. Calfee ◽  
Aubrey M. Sims ◽  
...  
Keyword(s):  
System Integration ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Basic Structure ◽  
Research Paper ◽  
Digital Manufacturing ◽  
Manufacturing Automation ◽  
The Future ◽  
Automation Framework

Cyber Manufacturing system (CMS) is the future of manufacturing system integration, which can completely change the manufacturing industry in all areas to benefit everyone from the companies to the consumers. This research paper describes how this form of manufacturing can be achieved through the cooperation of several areas of digital manufacturing. The included Manufacturing Automation Framework displays how the different systems can work together to achieve successful cyber manufacturing. The framework provides the basic structure of the system needed to easily transfer the technology and ideas to various industries.

Intelligent Manufacturing and Manufacturing Intelligence

2010 ◽  
pp. 1-12
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Artificial Intelligence ◽  
Economic Growth ◽  
Future Development ◽  
Intelligent Manufacturing ◽  
Manufacturing Technology ◽  
Manufacturing Processes ◽  
Advanced Manufacturing ◽  
Economic Activities ◽  
Intelligent Manufacturing System ◽  
Manufacturing Intelligence

Manufacturing is a prime generator of wealth and is critical in establishing a sound basis for economic growth. Manufacturing is also the cornerstone of all economic activities, and efforts to continuously advance manufacturing technology are therefore vital to a richer and more stable future. Intelligent Manufacturing (IM), believed to be the next generation advanced manufacturing paradigm is extensively investigated by industry and academia. In this chapter, we firstly recall the course of manufacturing development and summarize the characteristics of the four revolutions in this course. Subsequently, the broad sense of ‘manufacturing’ is articulated and the characteristics of manufacturing activities in the operation of manufacturing processes are depicted. The differences and relationships between Artificial Intelligence (AI) and Manufacturing Intelligence (MI) are then presented. The background of intelligent manufacturing, the attributes of intelligent manufacturing technology and the future development of intelligent manufacturing system are described. Lastly, a summary of this chapter is given.

Network Architecture Based on 3-D Digital Design and Manufacture for Scaled Enterprise Ally

2008 ◽  
Vol 392-394 ◽  
pp. 848-854
Author(s):  
Li Zhi Gu ◽  
Y. Gao ◽  
Q. Zhang
Keyword(s):  
Network Architecture ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing System ◽  
Low Cost ◽  
Digital Design ◽  
Enterprise Management ◽  
Digital Manufacturing ◽  
Organization And Management ◽  
Design And Manufacturing

With the features of rapid response, premium quality, low cost, flexibility, technology of digital design and manufacturing is becoming the principal boost that enhances the manufacturing industry in the 21st century. There are about several hundreds of thousands of scaled manufacturing enterprises that face the upgrading challenge of production technology, organization, and management transformation with the core alteration from 2D design- conventional manufacturing to 3D digital design and digital manufacturing. Netting of three-D digital design and manufacturing system is the only way of upgrading the manufacturing industry orientating to future. An idea of scaled enterprise ally is presented, and based on the scaled enterprise ally, netting frame is put forward and constructed of the digital design and manufacturing system, expounding the functions and features of shared data platform, those of linkages of digital design, digital manufacturing, cell enterprise management, and CSG modeling technique, creation procedure of CAPP, virtual testing technique in the digital design and manufacturing systems, explaining the key considerations including interrelationships among the enterprises , resources share, information security, network security.

A Discussion on manufacturing technology in the 1980s - General Discussion

1973 ◽  
Vol 275 (1250) ◽  
pp. 417-424
Keyword(s):  
Glass Industry ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Manufacturing Technology ◽  
Plate Glass ◽  
Technological Innovations ◽  
Causal Relationships ◽  
Rates Of Change ◽  
Entire Structure ◽  
The World

In opening the discussion, Dr Williamson said it was a valuable opportunity for an interchange of ideas on all aspects of manufacturing technology and the developments that might be expected in the next two decades. He hoped, for instance, it would cover the reasons for the paralytically slow rates of change in manufacture compared with those which are technically feasible. Many factors are involved here, ranging from the structure of companies to accounting procedures and individual attitudes, but they all added up to a barrier to beneficial change which could destroy our economy if it is allowed to persist. He asked if there were factors which had not so far been identified which could modify or nullify the patterns of change which speakers had suggested. Would forecasts in future be made by projection of past trends, or by means of causal relationships as Dr Young had suggested? Our industrial survival depends on major technological innovations. With one brilliant invention, Sir Alastair Pilkington had changed the world plate glass industry. How can we ensure that such innovations occur? New and successful manufacturing systems could change the entire structure of manufacturing industry. Should this be our objective, or are we going to restrict our thinking to minor modifications of what already exists, and leave the great leaps to others?

Devolpment and Modeling of an Industrial Process Plan, Its Optimization using stochastic search Optimization Technique

2021 ◽  
Vol 15 ◽  
pp. 87-91
Author(s):  
Umer Asgher ◽  
Riaz Ahmad ◽  
Liaqat Ali
Keyword(s):  
Process Planning ◽  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Optimization Technique ◽  
Industrial Process ◽  
Optimal Solution ◽  
Stochastic Search ◽  
Optimization Techniques ◽  
Process Plan ◽  
Search Optimization

Industrial process planning is principally an association between design and development or final production and has vital function in the manufacturing systems. In this paper the under research industry is security vehicle manufacturing industry in Pakistan. First of all a fundamental process plan is developed and then modeled mathematically using progressive closed loop approach. Mathematically modeled process plan is then optimized in order to find optimal or sub optimal solutions. Research then investigates the capability of an innovative optimization technique called stochastic search in handling optimization of manufacturing process plan. This new technique of stochastic, searches the best approximate process planning solution. Finally the research examines the convergence of optimization techniques to an optimal solution for a manufacturing framework.

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