Special issue on mass customization manufacturing systems

2004 ◽  
Vol 51 (3) ◽  
pp. 386-386
Keyword(s):  
Mass Customization ◽  
Manufacturing Systems ◽  
Special Issue

scholarly journals Special Issue: Platform product development for mass customization

2004 ◽  
Vol 18 (1) ◽  
pp. 1-2 ◽  
Author(s):  
GEORGE HUANG ◽  
ROGER JIAO ◽  
MITCHELL M. TSENG
Keyword(s):  
Product Development ◽  
Mass Customization ◽  
Manufacturing Systems ◽  
Product Family ◽  
Special Issue ◽  
Manufacturing Enterprises ◽  
Economy Of Scale ◽  
Industrial Sectors ◽  
Knowledge Support ◽  
Future Direction

Platform product development is a contemporary approach to agile product development for mass customization. Distinctive product variants are derived or customized from a platform that is defined as components and subsystems commonly shared across a product family. A well-organized platform is essential to connect different parties of an enterprise including soliciting customer needs through order fulfillment to field service. Hence, it is also critical to achieve the economy of scale by identifying repetitive applications of share tooling, knowledge, and other resources. In this Special Issue, we attempt to cover the different aspects of platform product development. The topics span a wider range of artificial intelligence (AI) disciplines, from knowledge representation to knowledge support systems. It identifies a fertile area not only for applying AI to contemporary issues of design and manufacturing systems but also for enriching the methodology for developing AI systems in manufacturing enterprises. Indeed, we consider that numerous successful applications in the industrial sectors highlight a future direction for productive AI applications in industry.

scholarly journals Special Issue on Smart Sustainable Manufacturing Systems

2019 ◽  
Vol 9 (11) ◽  
pp. 2264
Author(s):  
Gökan May ◽  
Dimitris Kiritsis
Keyword(s):  
Manufacturing Systems ◽  
Sustainable Manufacturing ◽  
Digital Technologies ◽  
Special Issue ◽  
Challenges And Opportunities

With the advent of disruptive digital technologies, companies are facing unprecedented challenges and opportunities [...]

Selected Papers from SCIS & ISIS 2006 – No.1

2007 ◽  
Vol 11 (6) ◽  
pp. 535-535
Author(s):  
Naoyuki Kubota ◽  
Keyword(s):  
Neural Networks ◽  
Soft Computing ◽  
Computational Intelligence ◽  
Intelligent Systems ◽  
Manufacturing Systems ◽  
Current Issue ◽  
Multi Agent Systems ◽  
Special Issue ◽  
Tokyo Institute ◽  
Institute Of Technology

SCIS & ISIS is a biennial international joint conference in the field of soft computing and intelligent systems, including branches of researches from fuzzy systems, neural networks, evolutionary computation, multi-agent systems, artificial intelligence or robotics. SCIS & ISIS 2006 falls on the 3rd International Conference on Soft Computing and Intelligent Systems (SCIS) and the 7th International Symposium on Advanced Intelligent Systems (ISIS) held at Tokyo Institute of Technology, in Tokyo, Japan, on September 20-24, 2006. In this conference, 464 original papers were accepted for presentation and the number of attendees was 526. After preliminary selection and review made by the session chairs and the International Program Committees of SCIS & ISIS 2006, we have selected more than 50 papers to be published in extended form in the Special Issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics. The accepted papers are published as the special issues in Vol.11, No.6, 7, and 8 in 2007. This current issue presents 23 papers and covers most of the topics of the conference including fuzzy theories, self-organizing maps, and the optimization of neural networks. The learning and search methods in computational intelligence and real-world applications to image processing, robotics and manufacturing systems are highlighted in this current issue. I would like to thank all the authors and reviewers for their contribution to make this special issue possible. I am also grateful to Prof. Toshio Fukuda, Nagoya University and Prof. Kaoru Hirota, Tokyo Institute of Technology, Editors-in-chief, for inviting me to serve as Guest Editor of this Journal.

scholarly journals Special Issue on the Latest Machine Tool Technologies and Manufacturing Processes

2019 ◽  
Vol 13 (5) ◽  
pp. 573-573 ◽  
Author(s):  
Yohichi Nakao ◽  
Hayato Yoshioka
Keyword(s):  
Internet Of Things ◽  
Machine Tool ◽  
Machine Tools ◽  
Manufacturing Systems ◽  
Tool Path ◽  
Industrie 4.0 ◽  
Smart Manufacturing ◽  
Manufacturing Processes ◽  
Special Issue ◽  
Excellent Research

With the 2011 launch of Industrie 4.0, a German project aiming to promote the computerization of manufacturing, the integration of physical or actual manufacturing systems with cyber-physical systems (CPS) using various technologies, such as the Internet of things (IoT), industrial Internet of things (IIOT), and artificial intelligence, is considered to be more important than ever before. One of the goals of the Industrie 4.0 is to realize smart factories or smart manufacturing using advanced digital technologies. However, the core component in the manufacturing systems is still machine tools. This special issue, composed of eleven excellent research papers, focuses on the latest research advances in machine tools and manufacturing processes. It covers various topics, including machine tool control, tool path generation for multi-axis machining, and machine tool components. Furthermore, this special issue includes innovative machining technologies, including not only cutting and grinding processes but also the EDM process and burnishing process connected effectively with force control techniques. All the research contributions were presented at IMEC2018, a joint event with JIMTOF2018, held in Tokyo, Japan in 2018. The editors would like to sincerely thank the authors for their dedication and for their well written and illustrated manuscripts. We are also profoundly grateful for the efforts of all the reviewers who ensured their quality. Finally, we sincerely hope that studies on machine tools and related manufacturing technologies will further contribute to the development of our global society.

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