Harmonising design and manufacturing: a quality inspection perspective

被引:5
作者
Azamfirei, Victor [1 ]
Lagrosen, Yvonne [1 ]
Granlund, Anna [1 ]
机构
[1] Innovat Design & Technol IDT, Prod Realizat, Eskilstuna, Sweden
来源
2021 26TH IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) | 2021年
关键词
Flexible manufacturing systems; fixture; in-line quality inspection; position and orientation; industrial robot; METROLOGY;
D O I
10.1109/ETFA45728.2021.9613142
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As manufacturing companies are becoming more global, dynamic, and competitive, contradictory demands intensify. Flexibility is a key enabler for meeting the challenges of a global market if offered at mass production price and quality. Many companies have adopted Flexible Manufacturing System (FMS) together with new technologies. Nevertheless, despite the drastic increase in industrial robots adoption, industrial robot applications continue today as they were designed 50 years ago. To obtain a flexible and reliable production system, it takes more than technology as quality depends on equipment and manufacturing processes. Non-adaptive industrial robots autonomy may be disrupted by the geometrical deformations of the fixtures. This paper presents a comprehensive case study of adopting a robotic in-line quality inspection in an automotive Original Equipment Manufacturer (OEM) to aid the robot-fixture collision problem. The purpose is to examine errors that occur in production processes and how quality inspection can mitigate such errors. Empirical data collection was carried out in the form of (i) interviews, (ii) participant observations, (iii) documents, and (iv) video recording of robot cells. Results show that contrary to the case company beliefs, the manufacturing system does not follow the FMS standards; thus, to harmonise resources design and manufacturing processes, adding a robotic in-line quality inspection station is not enough. First, the robotic in-line quality inspection should follow a "preventive" control strategy to avoid deviated fixturing from entering the robot line. Second, the managers should address the beliefs of operators and their activities in solving the robot-fixture collision problem. Moreover third, the robot gripper design needs to be updated to an appropriate one.
引用
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页数:7
相关论文
共 27 条
[1]   Spatio-Temporal Adaptive Sampling for effective coverage measurement planning during quality inspection of free form surfaces using robotic 3D optical scanner [J].
Babu, Manoj ;
Franciosa, Pasquale ;
Ceglarek, Dariusz .
JOURNAL OF MANUFACTURING SYSTEMS, 2019, 53 :93-108
[2]   Flexible fixture design and automation: Review, issues and future directions [J].
Bi, ZM ;
Zhang, WJ .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2001, 39 (13) :2867-2894
[3]   Computer Aided Inspection procedures to support Smart Manufacturing of injection moulded components [J].
Bici, Michele ;
Broggiato, Giovanni B. ;
Campana, Francesca ;
Dughiero, Alessandro .
27TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING, FAIM2017, 2017, 11 :1184-1192
[4]   THE QUALITY DETECTIVE - A CASE-STUDY [J].
BISGAARD, S .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 1989, 327 (1596) :499-511
[5]   From mass production to flexible/agile production [J].
Duguay, CR ;
Landry, S ;
Pasin, F .
INTERNATIONAL JOURNAL OF OPERATIONS & PRODUCTION MANAGEMENT, 1997, 17 (11-12) :1183-+
[6]   Workpiece force and position control for active and flexible fixtures in assembly [J].
Erdem, Ilker ;
Asbjornsson, Gauti ;
Kihlman, Henrik .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2021, 112 (1-2) :333-346
[7]   On-machine and in-process surface metrology for precision manufacturing [J].
Gao, W. ;
Haitjema, H. ;
Fang, F. Z. ;
Leach, R. K. ;
Cheung, C. F. ;
Savio, E. ;
Linares, J. M. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2019, 68 (02) :843-866
[8]   Seeking Qualitative Rigor in Inductive Research: Notes on the Gioia Methodology [J].
Gioia, Dennis A. ;
Corley, Kevin G. ;
Hamilton, Aimee L. .
ORGANIZATIONAL RESEARCH METHODS, 2013, 16 (01) :15-31
[9]  
Hancho N, 2017, INT DIABETES FEDRATI, V8, P1
[10]  
Illidge A, 2015, PROCEEDINGS OF THE 2015 PATTERN RECOGNITION ASSOCIATION OF SOUTH AFRICA AND ROBOTICS AND MECHATRONICS INTERNATIONAL CONFERENCE (PRASA-ROBMECH), P37, DOI 10.1109/RoboMech.2015.7359495