Framework for Evaluating Cognitive Support in Mixed Model Assembly Systems

被引:22
作者
Claeys, A. [1 ]
Hoedt, S. [1 ]
Soete, N. [1 ]
Van Landeghem, H. [2 ]
Cottyn, J. [1 ]
机构
[1] Univ Ghent, Dept Ind Syst & Prod Design, Graaf Karel Goedelaan 5, Kortrijk, Belgium
[2] Univ Ghent, Dept Ind Management, Zwijnaarde, Ghent, Belgium
来源
IFAC PAPERSONLINE | 2015年 / 48卷 / 03期
关键词
Integration of Knowledge/Competence in Enterprise Modelling Feamework; Cognitive Aspects of Automation; Mixed Model Assembly Systems; Human-Automation Integration; Integral performance indices; COMPLEXITY;
D O I
10.1016/j.ifacol.2015.06.201
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The assembly proccss is often the final stage of the production process. which implies that the products have a lot of accumulated value hence making error is expensive at this point of the product life-cycle. Empirical studies show that 90% of the final assembly tasks are still pensive tasks are still performed by humans and in most cases solely relying on own experience. Because of the product complexity and the operational complexity, caused by the mixed model structure, the mental workload imposed on the operators is typically high. Consequently, the probability of errors is higher and delays may occur. Cognitive automation ensures that the mental workload imposed on the operator will be reduced. This paper will focus on a method for evaluating the performance of a manual mixed model assembly system equipped with a cognitive information system. For this purpose a framework is designed. The framework is categorized in three inner sections: product, workstation and operator data. These sections will define the mixed model assembly system and create a perforrnance scor All rights reserved.Further, a technical description of a cognitive information system is given. The cognitive information system will support the operator, both intrinsic and extrinsic, by offering him process related information. The cognitive information systems have three important aspects: what, how and when. Also, configuration opportunities arc added to the information system in which the operator is able to configure his own system. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rids reserved,
引用
收藏
页码:924 / 929
页数:6
相关论文
共 28 条
[1]   Modeling and Analysis of Operator Effects on Process Quality and Throughput in Mixed Model Assembly Systems [J].
Abad, Andres G. ;
Paynabar, Kamran ;
Jin, Jionghua Judy .
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2011, 133 (02)
[2]  
Argyros AA, 2004, LECT NOTES COMPUT SC, V3023, P368
[3]  
Case K., 2008, Advancesinmanufacturingtechnology-XXII:Proceedingsofthe 6thInternationalConferenceonManufacturingResearch(ICMR2008), P181
[4]  
Clarke D, 1997, PROCEEDINGS OF THE FIFTH ANNUAL TCL/TK WORKSHOP, P9
[5]   A method to align a manufacturing execution system with Lean objectives [J].
Cottyn, J. ;
Van Landeghem, H. ;
Stockman, K. ;
Derammelaere, S. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2011, 49 (14) :4397-4413
[6]   Complexity in engineering design and manufacturing [J].
ElMaraghy, Waguih ;
ElMaraghy, Hoda ;
Tomiyama, Tetsuo ;
Monostori, Laszlo .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2012, 61 (02) :793-814
[7]  
ElMaraghy WH, 2004, CIRP ANN-MANUF TECHN, V53, P401
[8]  
Fassberg T., 2012, 4 CIRP C ASS TECHN S
[9]  
Fassberg T., 2011, P 4 SWED PROD S SPS
[10]   Relations between complexity, quality and cognitive automation in mixed-model assembly [J].
Fast-Berglund, A. ;
Fassberg, T. ;
Hellman, F. ;
Davidsson, A. ;
Stahre, J. .
JOURNAL OF MANUFACTURING SYSTEMS, 2013, 32 (03) :449-455