The principles of intelligent textile and garment manufacturing systems

被引:21
作者
Stylios, G
机构
[1] Univ of Bradford, Bradford
关键词
clothing industry; fabric; fuzzy logics; neural networks; robotics;
D O I
10.1108/01445159610126429
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Despite the globalization and internalization of competition and surplus of apparel production, high labour costs and other economic pressures, apparel products are still being produced using traditional methods and machinery, the mechanics of which have not fundamentally changed since the seventeenth century, even nowadays when the materials produced are very flexible and diverse in texture and properties. In developing the industry further, the nature of interaction between machinery, fabric and operatives has to be taken into account, and this poses some real problems if one has to put forward realistic solutions for future industrial development. It is therefore important to he able to take into consideration fabric/machine/human interactions during the manufacturing process in order to propose the next generation of manufacturing systems which is much needed in the current apparel industry. Reports on findings in the area of intelligent garment manufacture which is a means of introducing flexibility quality, production efficiency and maximization of resources in the apparel industry. Primarily emphasizes the importance of fabric properties and their interaction with the whole manufacturing process, the labour force and especially with sewing. In order to achieve this, applies computational intelligence and engineering to research, develop and implement intelligent textile and apparel environments, and introduce desired flexibility into the whole area of textile and apparel processes, especially in terms of quick response (QR) and just in time (JIT).
引用
收藏
页码:40 / &
页数:6
相关论文
共 50 条
[31]   Autonomous Design of Modular Intelligent Systems [J].
Nahodil, Pavel ;
Vitku, Jaroslav .
PROCEEDINGS 27TH EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2013, 2013, :379-+
[32]   Intelligent modelling of flexible manipulator systems [J].
Shaheed, M. H. ;
Azad, Abul K. M. ;
Tokhi, M. O. .
CLIMBING AND WALKING ROBOTS, 2006, :607-614
[33]   Development of the laboratory for intelligent production systems [J].
Kunica, Z. ;
Sucevic, M. ;
Hrman, M. ;
Kasac, J. ;
Brezak, D. .
Annals of DAAAM for 2003 & Proceedings of the 14th International DAAAM Symposium: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON RECONSTRUCTION AND DEVELOPMENT, 2003, :253-254
[34]   RESEARCH ON INTELLIGENT SYSTEMS FOR ENERGY ENGINEERING [J].
Rajora, M. ;
Zou, P. ;
Liang, S. Y. .
ENERGY AND MECHANICAL ENGINEERING, 2016, :18-26
[35]   Lattice Computing in Hybrid Intelligent Systems [J].
Grana, Manuel .
2012 12TH INTERNATIONAL CONFERENCE ON HYBRID INTELLIGENT SYSTEMS (HIS), 2012, :1-5
[36]   Intelligent Systems Research in the Construction Industry [J].
Irani, Zahir ;
Kamal, Muhammad Mustafa .
EXPERT SYSTEMS WITH APPLICATIONS, 2014, 41 (04) :934-950
[37]   Towards intelligent systems for boiler design [J].
Lu, S .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART A-JOURNAL OF POWER AND ENERGY, 1997, 211 (05) :399-409
[38]   A mind model for intelligent machine innovation using future thinking principles [J].
Botha, Anthon P. .
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2019, 30 (08) :1250-1264
[39]   Intelligent knowledge representation and function implementation models for process planning in manufacturing [J].
Ming, XG ;
Mak, KL ;
Yan, JQ .
ADVANCED DESIGN AND MANUFACTURE IN THE GLOBAL MANUFACTURING ERA, VOL 1, 1997, :318-325
[40]   An intelligent decision support system for part launching in a flexible manufacturing system [J].
Shukla, CS ;
Chen, FF .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2001, 18 (06) :422-433