Innovative Quality Management System for Flexible Manufacturing Systems

被引:0
作者
Bihi, T. [1 ]
Luwes, N. [1 ]
Kusakana, K. [1 ]
机构
[1] Cent Univ Technol, Dept Elect Elect & Comp Engn, Bloemfontein, South Africa
来源
2018 OPEN INNOVATIONS CONFERENCE (OI) | 2018年
关键词
Flexible Manufacturing System; Intelligent Manufacturing; Quality Management; INTELLIGENCE; FLEXIBILITY;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The next generation of industry; Industry 4.0, holds the promise of increased flexibility in manufacturing, along with mass customization, better quality and improved productivity. In the Industry 4.0 era, manufacturing systems are able to monitor physical processes and make smart decisions through real-time communication and cooperation with humans, machines, sensors, and so forth. Intelligent manufacturing is based on this concept of optimizing manufacturing by taking advantage of technological advances. Flexible manufacturing systems are a form of intelligent manufacturing. A Flexible Manufacturing System reacts to changes in the production process, this includes changes in the product and the production schedule. The problem is that a traditional Quality Management System cannot be used for a Flexible Manufacturing Systems because it cannot keep up with the changes in the FMS. The aim of the project is to design, construct and evaluate an Intelligent Quality Management System (QMS) which can learn, and adapt to the change of the flexible manufacturing system (FMS). It will be able to do this by designing hardware nodes that can be easily added to already implemented test systems that convey information back to an Intelligent Quality Management System that would learn the line lay out and setup with predefined training cycles. Thereafter it should run as a Quality Management System until the flexible system necessitates a retrain.
引用
收藏
页码:40 / 46
页数:7
相关论文
共 25 条
[1]   Measuring flexibility in investment decisions for manufacturing systems [J].
Abele, E. ;
Liebeck, T. ;
Woern, A. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2006, 55 (01) :433-436
[2]   REAL-TIME DATA MANAGEMENT IN A FLEXIBLE MANUFACTURING SYSTEM (FMS) [J].
ANGELVA, J ;
PILTONEN, P .
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1995, 52 (01) :76-82
[3]   Control architecture and design method of reconfigurable manufacturing systems [J].
da Silva, Robson Marinho ;
Junqueira, Fabricio ;
Santos Filho, Diolino J. ;
Miyagi, Paulo E. .
CONTROL ENGINEERING PRACTICE, 2016, 49 :87-100
[4]   Smart manufacturing, manufacturing intelligence and demand-dynamic performance [J].
Davis, Jim ;
Edgar, Thomas ;
Porter, James ;
Bernaden, John ;
Sarli, Michael .
COMPUTERS & CHEMICAL ENGINEERING, 2012, 47 :145-156
[5]   A Portrait of an ISO STEP Tolerancing Standard as an Enabler of Smart Manufacturing Systems [J].
Feeney, Allison Barnard ;
Frechette, Simon P. ;
Srinivasan, Vijay .
JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2015, 15 (02)
[6]  
Festo Group, 2017, QUAL IND 4 0
[7]   Challenges and propositions for research in quality management [J].
Fundin, Anders ;
Bergquist, Bjarne ;
Eriksson, Henrik ;
Gremyr, Ida .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2018, 199 :125-137
[8]  
Gibb A. M., 2010, THESIS
[9]  
Hoyle David., 2001, ISO 9000 quality systems handbook, V4th
[10]   Manufacturing System Flexibility Control [J].
Kapitanov, A. V. .
INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING (ICIE 2017), 2017, 206 :1470-1475