New systems in Computer Integrated Manufacturing (original) (raw)
Related papers
The Intelligent Manufacturing Systems
Advanced Science Letters, 2013
The current trend of the final product quality increasing is affected by time analysis of the entire manufacturing process. The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings.
Designing, Implementation, Evolution and Execution of An Intelligent Manufacturing System
International Journal of Recent advances in Mechanical Engineering, 2014
This paper shows a framework of the different techniques for the design of the planning and governing components, implementation, Evolution and execution of an intelligent manufacturing system. Architecture of a modern manufacturing industry is presented, which makes possible to create specific manufactrons system for the specific tasks, depending on the self-operated analysis of its essential characteristics. The manufactronic industry concept helps in the integration of intelligence and to increase flexibility at the maximum level of the manufacturing system as well as at the minimum level of the particular machine. This concept is implemented & demonstrated in the automobile and aeronautical industries, but can be simply applied to nearly all manufacturing industries. Implementation of manufactronic techniques in the industries helps to forecast and to fulfill the rapidly varying customer requirements, to produce high quality products in sufficient quantities with reduction in costs. The Modern Intelligence Technologies are also presented in this paper.
Role of Computer Integrated Manufacturing in Recent Trends in Manufacturing Technology
2019
If we review the manufacturing scenario we will find that the manufacturing is characterized by a few islands of automation. In the case of design, the task is well automated. In the case of manufacture, CNC machines, DNC systems, FMC, FMS etc provide tightly controlled automation systems. Similarly computer control has been implemented in several areas like manufacturing resource planning, accounting, sales, marketing and purchase. Yet the full potential of computerization could not be obtained unless all the segments of manufacturing are integrated, permitting the transfer of data across various functional modules. This realization led to the concept of computer integrated manufacturing. Thus the implementation of CIM required the development of whole lot of computer technologies related to hardware and software.
2012
The current trend of increasing quality and demands of the final product is affected by time analysis of the entire manufacturing process. The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings. In this paper a concept of designing and building intelligent decision support systems in production management is introduced. The new approach to the design of intelligent management systems is proposed based on integration of artificial intelligence technologies (fuzzy logic, artificial neural networks ,expert systems and genetic algorithms) with exact methods and models of decisions search and simulation techniques. The proposed approach allows for creating intelligent decision support systems of complex, unstructured management problems in fuzzy conditions. The systems learn based on accumulated data and adapt to changes in operation conditions.
Application of Artificial Intelligence in Computer Integrated Manufacturing
IFAC Proceedings Volumes, 1988
Being understood as a new generation production systems, computer integrated manufacturing (CIM) should comprise artificial intelligence (AI). However, studies in the field of CIM do not centre around any overall concept of AI. Still, it is important to view AI as a CIM-oriented structure. The rapid development of knowledge-handling tools and systems may soon bring the appearance of numerous "islands of automation" in the factory, that will be difficult to integrate. These considerations motivate the present study, starting from a multy-layer and a multy-aspect functional CIM-model with given properties. In general, two points are considered: the application of existing AI-forms in the structure of CIM, and the problems of the development of the necessary distributed and integrated knowledge-handling computer environment for the factory of the future. As a result, principles are defined that may guide the development, delivery and implementation of AI in CIM.
International Journal of Engineering Research and Technology (IJERT), 2012
https://www.ijert.org/intelligent-manufacturing-systems-novel-trends-in-design-concept-of-intelligent-manufacturing-systems https://www.ijert.org/research/intelligent-manufacturing-systems-novel-trends-in-design-concept-of-intelligent-manufacturing-systems-IJERTV1IS8079.pdf The current trend of increasing quality and demands of the final product is affected by time analysis of the entire manufacturing process. The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings. In this paper a concept of designing and building intelligent decision support systems in production management is introduced. The new approach to the design of intelligent management systems is proposed based on integration of artificial intelligence technologies (fuzzy logic, artificial neural networks ,expert systems and genetic algorithms) with exact methods and models of decisions search and simulation techniques. The proposed approach allows for creating intelligent decision support systems of complex, unstructured management problems in fuzzy conditions. The systems learn based on accumulated data and adapt to changes in operation conditions.
Intelligent Systems in Manufacturing: Current Developments and Future Prospects
International Journal of Manufacturing Technology and Management
Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems.
Intelligent Manufacturing and Services
Department of Electronics & communication Engineering PSIT
Global competition and rapidly changing customer requirements are demanding increasing changes in manufacturing environments. Enterprises are required to constantly redesign their products and continuously reconfigure their manufacturing systems. Traditional approaches to manufacturing systems do not fully satisfy this new situation. Many authors have proposed that artificial intelligence will bring the flexibility and efficiency needed by manufacturing systems. This paper is a review of artificial intelligence techniques used in manufacturing systems. The paper first defines the components of a simplified intelligent manufacturing systems (IMS), the different Artificial intelligence (AI) techniques to be considered and then shows how these Artificial Intelligence (AI) techniques are used for the components of intelligent manufacturing systems
Applications of artificial intelligence in intelligent manufacturing: a review
Frontiers of Information Technology & Electronic Engineering, 2017
Based on research into the applications of artificial intelligence (AI) technology in the manufacturing industry in recent years, we analyze the rapid development of core technologies in the new era of 'Internet plus AI', which is triggering a great change in the models, means, and ecosystems of the manufacturing industry, as well as in the development of AI. We then propose new models, means, and forms of intelligent manufacturing, intelligent manufacturing system architecture, and intelligent manufacturing technology system, based on the integration of AI technology with information communications, manufacturing, and related product technology. Moreover, from the perspectives of intelligent manufacturing application technology, industry, and application demonstration, the current development in intelligent manufacturing is discussed. Finally, suggestions for the application of AI in intelligent manufacturing in China are presented.
The design of computer-integrated manufacturing systems
International Journal of Production Economics, 1994
Computer-integrated manufacturing (CIM) offers a number of useful and potential opportunities for improving the system performance of the manufacturing firm. However, it has been reported that there is always difficulty while implementing CIM due to lack of integration between various functional areas of manufacturing such as sales, research and development, design and engineering, production planning and control, distribution in terms of both material and information flows. This may be due to the design problems of CIM. Realizing the importance of CIM both from the investment and operational efficiency points of view, an attempt has been made in this paper to investigate and design and implementation issues of CIM. The purpose of this paper is to: (if review the design and implementation approaches from a strategic point of view, (ii) identify the gap between theory and practibe in the design and implementation approaches of CIM, (iii) suggest a suitable framework for the design and implementation of CIM with a view to improve productivity and quality and (iv) suggest future research directions in the development of CIM.