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Journal articles on the topic 'Intelligent and Flexible Manufacturing'

Author: Grafiati

Published: 25 May 2024

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1

CHANDRA, J., and J. TALAVAGE. "Intelligent dispatching for flexible manufacturing." International Journal of Production Research 29, no. 11 (November 1991): 2259–78. http://dx.doi.org/10.1080/00207549108948082.

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2

Varvatsoulakis, M. N., G. N. Saridis, and P. N. Paraskevopulos. "Intelligent organization for flexible manufacturing." IEEE Transactions on Robotics and Automation 16, no. 2 (April 2000): 180–89. http://dx.doi.org/10.1109/70.843174.

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3

Ju, Canze. "3D Printing Distributed Mold Intelligent Manufacturing Model Analysis." Highlights in Science, Engineering and Technology 76 (December 31, 2023): 65–70. http://dx.doi.org/10.54097/h18q1h39.

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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.

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4

Kostal, P., A. Mudrikova, and D. Michal. "Possibilities of intelligent flexible manufacturing systems." IOP Conference Series: Materials Science and Engineering 659 (October 31, 2019): 012035. http://dx.doi.org/10.1088/1757-899x/659/1/012035.

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5

Ahmad, M. Munir, and William G. Sullivan. "Flexible automation and intelligent manufacturing 2001." Robotics and Computer-Integrated Manufacturing 18, no. 3-4 (June 2002): 169–70. http://dx.doi.org/10.1016/s0736-5845(02)00026-1.

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6

Woo, K. B., K. S. Seo, I. S. Ahn, C. H. Lee, and S. K. Shin. "Intelligent Controller for Flexible Manufacturing System." IFAC Proceedings Volumes 25, no. 7 (May 1992): 79–84. http://dx.doi.org/10.1016/s1474-6670(17)52343-5.

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7

ALI, AHAD. "FUZZY LOGIC BASED UNCERTAINTY REPRESENTATION AND SIMULATION IN A FLEXIBLE ASSEMBLY SYSTEM." International Journal of Modeling, Simulation, and Scientific Computing 03, no. 03 (May 17, 2012): 1250013. http://dx.doi.org/10.1142/s1793962312500134.

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This paper provides intelligent simulation approach using manufacturing uncertainty in the form of simulation intelligence to improve the performances of manufacturing production system. It shows how simulation can be used to evaluate alternative designs in an uncertain manufacturing environment. Fuzzy rule-based manufacturing uncertainties are addressed in this study. A combination of product mix and production volume is analyzed using intelligent simulation model for an optimal production design. The intelligent simulation approach would improve the modeling accuracy in terms of more realistic presentation of uncertain activities. The proposed intelligent simulation modeling shows significant improvement and validated with real life application.

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8

Wang, Xi. "Design of Customized Intelligent Manufacturing Information Interaction System Based on Virtual Technology." Journal of Physics: Conference Series 2074, no. 1 (November 1, 2021): 012043. http://dx.doi.org/10.1088/1742-6596/2074/1/012043.

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Abstract With the continuous development of information technology, system intelligence is leading the next round of “industrial revolution”, especially the intelligent manufacturing industry has become the core of improving industrial productivity. Intelligent manufacturing involves each link in the manufacturing industry, which is the most critical part of intelligent manufacturing is intelligent production, through intelligent manufacturing related technology to optimize the production mode of manufacturing to promote the production state more flexible and integrated. Intelligent manufacturing is based on computer simulation technology and information and communication technology, optimize the production design of the factory and simplify the production process of the factory, the purpose is to reduce the waste of resources and improve the reasonable allocation of production resources.

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Weller, R., and J. W. Schulte. "Flexible Optimisation Tools for Intelligent Manufacturing Systems." IFAC Proceedings Volumes 27, no. 4 (June 1994): 477–82. http://dx.doi.org/10.1016/s1474-6670(17)46069-1.

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10

Mekid, S., P. Pruschek, and J. Hernandez. "Beyond intelligent manufacturing: A new generation of flexible intelligent NC machines." Mechanism and Machine Theory 44, no. 2 (February 2009): 466–76. http://dx.doi.org/10.1016/j.mechmachtheory.2008.03.006.

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11

Borenstein, D., and E. Levner. "Intelligent Scheduling of Robots and Flexible Manufacturing Systems." Journal of the Operational Research Society 50, no. 3 (March 1999): 285. http://dx.doi.org/10.2307/3010695.

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12

Mikhailov, L. K., R. Schockenhoff, F. Pautzke, and H. A. Nour Eldin. "Towards Building an Intelligent Flexible Manufacturing Control System." IFAC Proceedings Volumes 24, no. 5 (August 1991): 91–96. http://dx.doi.org/10.1016/s1474-6670(17)51229-x.

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13

Long, J., B. Descotes-Genon, and P. Ladet. "Hierarchical and Intelligent Control of Flexible Manufacturing Systems." IFAC Proceedings Volumes 25, no. 7 (May 1992): 163–68. http://dx.doi.org/10.1016/s1474-6670(17)52357-5.

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14

Nagurka, Mark L., and Paul J. Englert. "Toward an intelligent machine tool for flexible manufacturing." Robotics and Computer-Integrated Manufacturing 6, no. 3 (January 1989): 229–36. http://dx.doi.org/10.1016/0736-5845(89)90043-4.

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15

Jahn, G. "Model Based Intelligent Control in Flexible Manufacturing Systems." IFAC Proceedings Volumes 27, no. 4 (June 1994): 227–31. http://dx.doi.org/10.1016/s1474-6670(17)46028-9.

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16

Суханова, Наталия, and Nataliya Sukhanova. "Development of intelligent automated control systems in mechanical engineering." Science intensive technologies in mechanical engineering 2018, no. 11 (December 8, 2018): 42–48. http://dx.doi.org/10.30987/article_5bd8aa8a8683e5.76305416.

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The new automated control system architecture is offered which combines advantages of well-known engineering systems: super-computer productivity, wide functional potentialities of flexible manufacturing systems and artificial intelligence. The economic result of intelligent ACS introduction is to be produce quality increase, functionality enhancement, flexible programmable ties between devices, reliability increase of technical means and the elimination of outages at failures.

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17

Cao, Ting Ting, Xian Rui Wang, Xu Wei Sheng Ji, Hui Wang, and Yun Wang. "TCM-ISP: A Comprehensive Intelligent Service Platform for Industry Chain of Traditional Chinese Medicines." Journal of Healthcare Engineering 2021 (May 4, 2021): 1–14. http://dx.doi.org/10.1155/2021/9938625.

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In order to promote information interaction, intelligent regulation, and scale management in Chinese medicines industry, in this paper, a Chinese medicines intelligent service platform with characteristics of flexibility, versatility, and individuation was designed under the guidance of theoretical model of intelligent manufacturing of Chinese medicines (TMIM). TCM-ISP is a comprehensive intelligent service platform that can be flexibly applied to all links of Chinese medicines industry chain, which realizes data integration and real-time transmission as well as intelligent-flexible scheduling of equipment in response to different demand. The platform took logical framework of data flow as the core and adopts the modular design in which microcontroller and sensor module are independent to obtain overall design scheme of TCM-ISP that contains the diagram of overall framework, hardware structure, and software technology. Then, on the groundwork of overall design scheme and modern science technology, TCM-ISP was successfully constructed with flexible, intelligent, and networked characteristics in which TTL-USB and TTL-RS485S were utilized to build unified interface between boards with supporting hot-plugging mode. The results of platform tests show that TCM-ISP can not only successfully realize the integration, real-time transmission, and display of data information but also well accomplish remote intelligent-flexible control of equipment and allow flexible configuration and expansion of sensors and devices according to the needs of each link in TCM’s industry chain. It is of great practical significance to the pursuit of intelligent manufacturing of Chinese medicines and the promotion of modernization of Chinese medicines industry.

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18

Weston, R. H., C. M. Sumpter, and J. D. Gascoigne. "Distributed manufacturing systems." Robotica 4, no. 1 (January 1986): 15–26. http://dx.doi.org/10.1017/s0263574700002435.

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SUMMARYIn the context of computer-integrated manufacture (CIM), the paper describes the need for flexible “intelligent” machinery and the need for integrated and distributed software. Methodologies in obtaining appropriate solutions are discussed and related to two major SERC sponsored research programmes at Loughborough University, which concern (i) the design of a family of mechanical and control system modules to allow robots to be configured with user defined kinematic and dynamic properties, and (ii) the design of distributed hardware and software structures, based on internationally accepted communication protocols, to allow FAS's to be produced.In batch manufacture today's increased demand for product variety, requiring reduced lead times and work in progress, the need arises for computer-integrated manufacture (CIM). Similarly, in many conventional continuous flow manufacturing processes dramatic improvements in plant efficiency can be achieved by linking shop floor computer systems with computers performing management and design functions.Considerable research and development work has centred on flexible manufacturing systems (FMSs)3−1 which conventionally relate to metal cutting environments. Similarly the labour intensive nature of assembly operations has led to considerable interest in the design of flexible assembly systems.3.4 The principles embodied in FMS and FAS are translatable, being applicable to most manufacturing environments.To achieve flexible integrated manufacturing two major requirements can be identified, viz. (i) the need for flexible “intelligent” machinery, and (ii) the need for integrated but distributed software systems. This paper will consider future trends in (i) and (ii).

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19

Du, F., M. Zhao, and P. Zhang. "The study on flexible manufacturing system in building decoration stone processing." IOP Conference Series: Materials Science and Engineering 1242, no. 1 (April 1, 2022): 012015. http://dx.doi.org/10.1088/1757-899x/1242/1/012015.

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Abstract Stone materials are widely used in interior and exterior decoration design and public facilities construction. They are one of the essential materials in the construction and decoration field. With the increase in demand of the personality and quality of the decoration materials, intelligent manufacturing of stone processing must be required. With the development of manufacturing technology, especially the rapid development of automatic control technology, CNC machining technology and industrial robot technology, flexible manufacturing technology (FMI) have been used. In the paper an intelligent flexible processing system of stone is designed, which is composed with CNC processing tool, material transmission and storage system, computer control system and stone processing process monitoring system. It can realize fully automatic and intelligent flexible production from building stone processing, stone handling, comprehensive waste treatment, tool optimization and computer control. The calculation method of optimal equipment layout is explained and the field layout of each unit of FMS is given. The purpose of this project is to improve the intelligent level of building decoration stone processing through flexible manufacturing technology and increase production efficiency and material utilization as well as to satisfy needs of diversified product.

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20

Kopacek, P., and B. Kopacek. "Intelligent, flexible disassembly." International Journal of Advanced Manufacturing Technology 30, no. 5-6 (November 24, 2005): 554–60. http://dx.doi.org/10.1007/s00170-005-0042-9.

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21

Huang, Chung Lin, and Chung Chi Huang. "A Study of Cloud Computing Based Intelligent Scheduling System for Manufacturing Quality." Applied Mechanics and Materials 284-287 (January 2013): 3285–89. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3285.

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In the paper, a cloud computing based intelligent scheduling system for manufacturing quality is proposed. Most of scheduling system is only considered producing time but manufacturing quality. It is very important to focus on manufacturing quality for the industry upgrade. The factors of manufacturing quality are product, equipment, material and human. It makes higher cost for scheduling the flexible manufacturing system. So we develop the cloud computing-based intelligent scheduling system by using artificial neural network and optimized layout method for manufacturing quality in the research. The architecture of the intelligent scheduling system contains: (1) Cloud database structure. (2) Intelligent scheduling engine. (3) Real-time human-machine interface. SQL Azure is used as the cloud database for scattering and storing data. And the intelligent scheduling engine contains the intelligent sequence score system of the products, the optimized layout system and the monitoring system of available resources. By using Visual C#, we can program a human-machine interface with real-time data updating. So that we can see real-time scheduling states of manufacturing by the human-machine interface at any time everywhere. We get good performance from the results of the experiment in the intelligent scheduling system considering manufacturing quality. It is important to develop a cloud computing-based intelligent scheduling system for manufacturing quality because of the advantages of production fluency, low cost, just good quality and flexible management.

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22

Li, Jing, Ting Xu, and Nan Yan Shen. "Design and Implementation of Voice Control System in Flexible Manufacturing Cell." Applied Mechanics and Materials 415 (September 2013): 9–13. http://dx.doi.org/10.4028/www.scientific.net/amm.415.9.

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On the voice development platform of Microsoft Speech SDK, speech recognition and speech synthesis modules based on command control mode is built in this paper. Ethernet-based remote voice control system of intelligent flexible manufacturing cell is developed for machine tools and industrial robots. This paper designs an intelligent voice control system based on LabVIEW development environment, which realizes the human-machine voice interaction of flexible manufacturing cell and remote voice control. Experimental studies have shown that intelligent voice control system has high speech recognition rate and system reliability in a relatively quiet environment.

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23

Huseynov, Agil Hamid, and Mehriban Rashid Salimova. "Agent-based approach to designing flexible manufacturing systems." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2022, no. 4 (October 31, 2022): 35–41. http://dx.doi.org/10.24143/2073-5529-2022-4-35-41.

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The article considers the process of designing modules of a flexible production site using multi-agent technology. For a comprehensive organization of the design, there has been proposed an algorithm of intelligent automated design of the complex technical systems, flexible manufacture systems (FMS) being used as an example. It has been stated that the research at the stages of the conceptual design of the FMS is carried out by collecting prototype variants with using expert knowledge and interaction of agents-designers according to the method of self-realizing computer aided design. Building a distributed system for the intelligent design of a hybrid architecture using the features of agent technology is considered. A flexible manufacture system is chosen as a design object, which is a complex technical object of research, the process of its design is multi-stage and iterative. To design such systems using a common functional model at the initial stage, a set of tasks is defined to facilitate the computing design of the FMS. This approach to the design of FMS requires implementing the solutions of a large number of local problems of different purposes. To solve the local problems of design procedures there has been proposed a multi-agent design technology, where the agent-designer performs a specific local task of the design process. The developed formalisms and algorithms help automate the synthesis of technical objects of the FMS. To build an automated conceptual design system as main decision-making for the multi-agent systems, there has been proposed a technical solution based on the knowledge of intelligent multi-agent systems. Using a multi-agent system makes it possible to build a distributed parallel design system with ability to be transferred to various hardware and software platforms. There has been also proposed the structure of a multi-agent system for the intelligent computer-aided design based on the designer's knowledge base.

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24

Jung, Hosang, Bongju Jeong, and Dong-Won Kim. "Foreword: Special Issue on Flexible Automation and Intelligent Manufacturing." Industrial Engineering & Management Systems 17, no. 2 (June 30, 2018): 165. http://dx.doi.org/10.7232/iems.2018.17.2.165.

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25

Hammadi, S., and C. Tahon. "Special issue on intelligent techniques in flexible manufacturing systems." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 33, no. 2 (May 2003): 157–58. http://dx.doi.org/10.1109/tsmcc.2003.813336.

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26

Lim, Roland, Lim Beng Siong, and Ho Nai Choon. "Development and implementation of an intelligent flexible manufacturing system." Journal of Mechanical Working Technology 20 (September 1989): 389–402. http://dx.doi.org/10.1016/0378-3804(89)90047-8.

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27

O'Grady, P. J., H. Bao, and K. H. Lee. "Issues in intelligent cell control for flexible manufacturing systems." Computers in Industry 9, no. 1 (September 1987): 25–36. http://dx.doi.org/10.1016/0166-3615(87)90094-7.

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28

Ferrolho, Antnio, and Manuel Crisostomo. "Intelligent Control and Integration Software for Flexible Manufacturing Cells." IEEE Transactions on Industrial Informatics 3, no. 1 (February 2007): 3–11. http://dx.doi.org/10.1109/tii.2006.890529.

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29

Benjaafar, Saifallah. "Intelligent simulation for flexible manufacturing systems: An integrated approach." Computers & Industrial Engineering 22, no. 3 (July 1992): 297–311. http://dx.doi.org/10.1016/0360-8352(92)90007-7.

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30

Ruzarovsky, Roman, Nina Danišová, and Karol Velíšek. "Application of Assembly System Partial Units for the Development of Intelligent Assembly Cell." Applied Mechanics and Materials 309 (February 2013): 3–11. http://dx.doi.org/10.4028/www.scientific.net/amm.309.3.

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Development of intelligent assembly cell conception includes new solution kind of how to create structures of automated and flexible assembly system. Intelligent behavior of the system as the control system will repose on monitoring of important parameters of the system in the real time. Interaction information will be taken from flexible reaction data. This kind of flexible conception realization of intelligent assembly systems brings many advantages such as, cell will brings flexible reactions of the system to the manufacturing changes, build up area saving, lover building costs, higher using effects of whole device. This conception is developed at Institute of the manufacturing systems and applied mechanics and continues at an intermediate stage of the project. The paper is presented the description of the new conception philosophy, design of the individual units in the system characterized as an intelligent assembly cell, functions principles and expected proceedings in the next phases of the project.

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31

Csokmai, Lehel, Ovidiu Moldovan, Ioan Constantin Tarca, and Radu Tarca. "A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems." Applied Mechanics and Materials 404 (September 2013): 631–34. http://dx.doi.org/10.4028/www.scientific.net/amm.404.631.

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Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

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32

Li, Jing, Jing Feng Shao, Nan Yan Shen, and Ting Xu. "Research on Remote Monitoring Technology for Intelligent Flexible Manufacturing Cell." Applied Mechanics and Materials 333-335 (July 2013): 1504–8. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.1504.

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In recent years, the rapid development of industrial computer technology has provided the foundation for manufacturing automation and informatization. Intelligent Flexible Manufacturing Cell is being integrated with more complicated additional functions to realize the cooperation among CNC machines or between CNC machine and robot. How to detect the systems status rapidly and timely becomes one of the most concerned problems. This paper proposes a remote monitoring system for Intelligent Flexible Manufacturing Cell, designs the remote monitoring platform, determines the communication systems network structure, and establishes the database and software of monitoring system. The result shows that the system obtains a good result in practical application.

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33

Kim, Jinyoub, Dongjoon Seo, Jisang Moon, Juhee Kim, Hayul Kim, and Jongpil Jeong. "Design and Implementation of an HCPS-Based PCB Smart Factory System for Next-Generation Intelligent Manufacturing." Applied Sciences 12, no. 15 (July 29, 2022): 7645. http://dx.doi.org/10.3390/app12157645.

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The next-generation intelligent smart factory system that is proposed in this paper could improve product quality and realize flexible, efficient, and sustainable product manufacturing by comprehensively improving production and management innovation via its digital network and intelligent methods that reflect the characteristics of its printed circuit board (PCB) manufacturing design and on-site implementation. Intelligent manufacturing systems are complex systems that are composed of humans, cyber systems, and physical systems and aim to achieve specific manufacturing goals at an optimized level. Advanced manufacturing technology and next-generation artificial intelligence (AI) are deeply integrated into next-generation intelligent manufacturing (NGIM). Currently, the majority of PCB manufacturers are firms that specialize in processing orders from leading semiconductor and related product manufacturers, such as Samsung Electronics, TSMC, Samsung Electro-Mechanics, and LG Electronics. These top companies have been responsible for all product innovation, intelligent services, and system integration, with PCB manufacturers primarily playing a role in intelligent production and system integration. In this study, the main implementation areas were divided into manufacturing execution system (MES) implementation (which could operate the system using system integration), data gathering, the Industrial Internet of Things (IIoT) for production line connection, AI and real-time monitoring, and system implementation that could visualize the collected data. Finally, the prospects of the design and on-site implementation of the next-generation intelligent smart factory system that detects and controls the occurrence of quality and facility abnormalities are presented, based on the implementation system.

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34

Kubota, Naoyuki, Yusuke Nojima, Fumio Kojima, Toshio Fukuda, and Susumu Shibata. "Path Planning and Control for a Flexible Transfer System." Journal of Robotics and Mechatronics 12, no. 2 (April 20, 2000): 103–9. http://dx.doi.org/10.20965/jrm.2000.p0103.

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We studied intelligent control of self-organizing manufacturing system (SOMS) composed of modules that self-organize based on time-series information from other modules and environment. Modules create output through interaction with other modules. We discuss intelligent control and path planning in a manufacturing line of conveyer units and machining centers. Genetic algorithm are applied to conveyor pallet path planning in global decision making and learning automaton is applied to local conveyer decision making. We use simplified fuzzy inference to control pallets providing interval, verifying its feasibility by simulation.

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35

Yin, Chao, Pengcheng Deng, and Xiaobin Li. "Intelligent Manufacturing Mode for Sophisticated Equipment Assembly Workshop." Journal of Advanced Manufacturing Systems 17, no. 04 (October 10, 2018): 533–49. http://dx.doi.org/10.1142/s0219686718500300.

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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.

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36

Shafiq, Syed Imran, Edward Szczerbicki, and Cesar Sanin. "Decisional DNA based intelligent knowledge model for flexible manufacturing system." Journal of Intelligent & Fuzzy Systems 37, no. 6 (December 23, 2019): 7155–67. http://dx.doi.org/10.3233/jifs-179328.

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37

Zhang, Ya. "Intelligent Control of Flexible Joint Manipulator Based on Dynamic Pattern Recognition." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (November 26, 2019): 2050021. http://dx.doi.org/10.1142/s0218001420500214.

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With the rapid development of intelligent manufacturing and Internet technology, the industrial system has entered a new stage of development. As an indispensable carrier for intelligent manufacturing and industrial development, robots are expanding their applications. Among them, the flexible mechanical arm has the advantages of light weight, low energy consumption and low inertia compared with the bulky rigid mechanical arm, and has been increasingly valued. The flexible manipulator is a very complex dynamic system whose dynamic equations are characterized by nonlinearity, strong coupling and time-varying. Therefore, this paper uses the most common and effective method to establish the dynamic model of the flexible manipulator using the Lagrange equation. Due to the uncertain system parameters, lack of control of the trajectory and the influence of load changes and external disturbances, the flexible manipulator has great uncertainty in its control process, and the traditional control methods have not very good control effect. Based on this, this paper proposes a combination of dynamic pattern recognition theory and flexible joint manipulator intelligent control method for the two-link flexible manipulator, and uses the new GA-RBF neural network closed-loop adaptive control method to achieve high precision. Trajectory tracking ensures stability in a shorter time. The simulation results show that the intelligent joint control method based on dynamic pattern recognition has better trajectory tracking and autonomous fast recognition dynamic mode.

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38

Mizugaki, Yoshio. "Special Issue on Intelligent Manufacturing Systems." Journal of Robotics and Mechatronics 6, no. 6 (December 20, 1994): 441. http://dx.doi.org/10.20965/jrm.1994.p0441.

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Production engineering and manufacturing industries face difficulties in developing a new paradigm to cope with the post mass-production era. Consumers' preferences change very quickly and vary over a wide range of taste. A product's life cycle becomes shorter than shorter. Thus, rapid prototyping techniques have been requested, and some new concepts on manufacturing have been presented including Flexible Manufacturing System, Factory (or Flexible) Automation, Computer Integrated Manufacturing System, and Concurrent Engineering. After the termination of the cold war, many regional economies combined through international trade and dynamically evolved into global economies. Such change had significant effects on manufacturing industries and consequently on production engineering. As a new paradigm in the post mass-production era, the creation of manufacturing culture has been advocated by Prof. Hiroyuki Yoshikawa, President of University of Tokyo. It contains not only the movement towards standardization of conventional manufacturing knowledge but also the development of a global manufacturing system with use of computerization. At his advocation, the international research project of Intelligent Manufacturing Systems (IMS) was initiated. This bimonthly journal is a special issue on the IMS project and similar topics widely covering intelligent manufacturing systems. The former part of the contents is the description of the IMS project. It consists of the commentary articles quoted from the IMS news and the latest reports of IMS international test cases. The Japan IMS center publishes the IMS news and strongly supports the IMS project itself with collaboration of Ministry of International Trade and Industry of Japan (MITI). The authors of these reports are primarily enrolled in the actual responsibility to promote their projects and newly write the articles for this journal. I would like to thank the IMS center and each author for their contributions to this special issue on the IMS project. The latter part of the contents consists of the articles on the STandard for the Exchange of Product model data (STEP) and some technical papers on manufacturing. A conference report on the 2nd Japan-France Congress on Mechatronics is also provided in this issue. I would like to thank all contributors for their cooperation in creating this special issue. As can be easily seen, this issue focused on the forthcoming advancement on production engineering and manufacturing through the movement of Intelligent Manufacturing Systems. As the editor of this special issue on Intelligent Manufacturing Systems, I hope that the readers pay attention to this new movement and become involved in the near future.

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39

Wang, R. "Active Service Using Acquaintance Nodes in Intelligent Manufacturing Environments." Applied Mechanics and Materials 33 (October 2010): 241–45. http://dx.doi.org/10.4028/www.scientific.net/amm.33.241.

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An active service architecture called AAS (active service based on acquaintances) for intelligent manufacturing environments was proposed. The proposed architecture exploits stable relation and resourceful nodes, called acquaintances, which perform active services in the manufacturing network. The AAS architecture recognizes node heterogeneity in terms of mobility and capability. We analyze the characteristics of AAS architecture and operations for optimal system performance. By showing that AAS outperforms broadcast-based solutions in manufacturing environments, we validate that AAS is a flexible and adaptable architecture appropriate for dynamic manufacturing environments.

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40

Zheng, Zhaolun, and Yujun Lu. "Research on AGV trackless guidance technology based on the global vision." Science Progress 105, no. 3 (July 2022): 003685042211037. http://dx.doi.org/10.1177/00368504221103766.

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With the change of manufacturing mode and the progress of science and technology, the traditional manufacturing industry has gradually developed to intelligent manufacturing and flexible manufacturing. To achieve factory transformation, Automatic Guided Vehicle (AGV) is indispensable. In this paper, an AGV trackless guidance technology based on global vision is proposed. Firstly, the global vision camera is used to obtain the image of the AGV driving area, and then the obstacle information and position information of the AGV are obtained by image processing technology. Secondly, the A* algorithm is used to intelligently plan the AGV driving path, and the wireless network communication is used to control the AGV driving according to the planned path. Experiments show that the method is feasible and has the advantages of high flexibility, high precision, low cost and strong expansibility, which is of great significance to the realization of intelligent warehouse and unmanned chemical plant.

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Nevlyudov, Igor, Oleksandr Tsymbal, and Artem Bronnikov. "INFORMATION MODELS FOR MANUFACTURING WORKSPACES IN ROBOTIC PROJECTS." Innovative Technologies and Scientific Solutions for Industries, no. 2 (20) (June 30, 2022): 97–105. http://dx.doi.org/10.30837/itssi.2022.20.097.

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The subject of research in the article are the workspace models for flexible integrated robotic systems. The goal of the work is in development of information models to represent workspaces for following application in the automated control systems of flexible integrated manufacturing. The article solves the next tasks: to analyze the representation of workspace to decide practical problems of robotic systems of different nature, to consider the development of informational models for representation on workspaces of intelligent control systems of integrated manufacturing, to consider the practical examples of information presentation on workspaces of production systems. Research methods are set theory and predicate theory. The following results were obtained: there were analysed the main features of informational models development to solve robotic tasks of different nature and were pointed the limitations of existing approaches of formal description, the need of integration of workspace models to decision-support systems and systems of graphical and mathematical simulation of integrated systems; the set theory-based model of information representation for problem-solving processes of flexible integrated robotic systems is proposed; the information-logic model of workspace for mobile robot applications, functioning in flexible integrated systems. is developed and contains the list of objects, includes their geometrical dimensions and supplies the preservation of parameters in time and space; information presentation for automated control system of flexible integrated manufacturing, which implements proposed models, is considered. Conclusions: application of models of information type for automated control systems makes to supply logical unification of flexible integrated manufacturing elements, to provide monitoring of states of technological equipment of production systems in space and time and formation of their digital twins, to promote functioning of intelligent decision-support systems for robotic systems of different types, that improves characteristics of production control.

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Szulewski, Piotr. "The effectively combined systems for intelligent production." Mechanik 91, no. 1 (January 8, 2018): 6–11. http://dx.doi.org/10.17814/mechanik.2018.1.1.

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The paper illuminates the latest software and hardware concepts introduced to transform traditional manufacturing environments into new, flexible, smart, digital and Industrial 4.0 compliant factories. The technical innovations in the field of robots, programmable control, automation components which were presented at the EMO 2017.

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Iseringhausen, Tobias, and Ricardo Kleinert. "Gewichtstracking mit intelligenten Werkstückträgern/Weight tracking with intelligent workpiece carriers in battery cell production." wt Werkstattstechnik online 113, no. 06 (2023): 229–36. http://dx.doi.org/10.37544/1436-4980-2023-06-21.

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Eine flexible Assemblierung für zylindrische Batteriezellen im Labormaßstab mit Fokus auf die Digitalisierung wurde am Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA aufgebaut. Sowohl das Gesamtgewicht als auch die Gewichtsverteilung auf einzelne Komponenten sind wesentliche Qualitätsmerkmale der Zelle. Um über gravimetrische Schwankungen zuverlässig Rückschlüsse auf die Qualität zu ziehen, ist eine schnelle und präzise Erfassung des Gewichtes zwischen den Prozessen nötig. A flexible assembly unit for cylindrical battery cells focused on digitization was build up at laboratory scale at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA. Crucial quality criteria of the cell are both total weight and weight distribution of the single components. Drawing conclusion from gravimetric fluctuations requires a fast and precise weight measurement between the processes.

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Chan, F. T. S., H. K. Chan, and A. Kazerooni. "An intelligent fuzzy decision system for a flexible manufacturing system with multidecision points." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 7 (July 1, 2002): 1021–31. http://dx.doi.org/10.1243/09544050260174210.

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This paper describes an intelligent fuzzy decision support system for real-time scheduling and dispatching of parts in a flexible manufacturing system (FMS), with alternative routing possibilities for all parts. A fuzzy logic approach is developed to improve the system performance by considering multiple performance measures and at multiple decision points. The characteristics of the system status, instead of parts, are fed back to assign priority to the parts waiting to be processed. A simulation model is developed and it is shown that the proposed intelligent fuzzy decision support system keeps all performance measures at a good level. The proposed intelligent system is a promising tool for dealing with scheduling FMSs, in contrast to traditional rules.

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Durakbasa, Numan M., Jorge Bauer, and Günther Poszvek. "Advanced Metrology and Intelligent Quality Automation for Industry 4.0-Based Precision Manufacturing Systems." Solid State Phenomena 261 (August 2017): 432–39. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.432.

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Intelligence is an essential feature of future development and production systems, and intelligent production is a major component of future business. To meet market demands in present and future global industrial world, manufacturing enterprises of any kind and any size must be flexible and agile enough to respond quickly to product demand changes also according technological developments especially in the field of precision engineering at micro/nanoand pico scale production. With support of AI and modern IT it is possible to realise modern cost-effective customer-driven design and manufacturing taking into account the importance and basic role of modern Integrated Management Systems - IMS and intelligent advanced metrology.This new concept can be developed on the basis of intelligent production technologies and integrated systems as well as extensive use of the IT, AI, simulation, quality autonomation, robotics, advanced metrology and advanced engineering data exchange techniques. Moreover by utilizing advanced information analytics, networked intelligent machines and instruments will be able to perform more efficiently, collaboratively and sustainably, that makes possible an agile and optimal industrial production in any kind of industry and especially in up-to-date SMEs towards Industry 4.0.

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Sallinen, Mikko, Tapio Heikkilä, and Timo Salmi. "TOWARDS SHORT SERIES PRODUCTION: ROBOT–BASED FLEXIBLE MANUFACTURING WITH INTELLIGENT SENSING." IFAC Proceedings Volumes 40, no. 3 (2007): 271–76. http://dx.doi.org/10.3182/20070523-3-es-4908.00045.

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Alsafi, Yazen, and Valeriy Vyatkin. "Ontology-based reconfiguration agent for intelligent mechatronic systems in flexible manufacturing." Robotics and Computer-Integrated Manufacturing 26, no. 4 (August 2010): 381–91. http://dx.doi.org/10.1016/j.rcim.2009.12.001.

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Essers, M. S., and T. H. J. Vaneker. "A Function Based Approach for Designing Intelligent Flexible Automated Manufacturing Environments." Procedia CIRP 3 (2012): 263–68. http://dx.doi.org/10.1016/j.procir.2012.07.046.

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Ficko, Mirko, Simon Brezovnik, Simon Klancnik, Joze Balic, Miran Brezocnik, and Ivo Pahole. "Intelligent design of an unconstrained layout for a flexible manufacturing system." Neurocomputing 73, no. 4-6 (January 2010): 639–47. http://dx.doi.org/10.1016/j.neucom.2009.06.019.

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HOSHINO, Satoshi, Hiroya SEKI, Yuji NAKA, and Jun OTA. "3312 Intelligent Cruise Control for Transport Robots in Flexible Manufacturing Systems." Proceedings of the Transportation and Logistics Conference 2009.18 (2009): 339–42. http://dx.doi.org/10.1299/jsmetld.2009.18.339.

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