STATISTICAL ANALYSIS OF THE DATA, WHICH RECEIVED FROM AN ASSEMBLY LINE AND THE USE OF THE RESULTS TO DO LINE BALANCING
Abstract
Automated
data acquisition from machines, assembly and test lines become easier and more
common with the widespread use of automation in production plants.
Automatically collected data gives more accurate and simultaneous information
than manually collected data, but automatically collected and stored data does not
efficiently converted into knowledge. This study done in a factory, which works in
the industrial technology area, belongs to an international company. The
purpose of this study is to determine the station occupancy in the assembly line
and to optimize the assembly line operations by using statistical analysis
methods with the data, which were automatically received from an assembly line.
Method and time measurements implemented, after the assembly line set up and
serial production were begin. Method and time measurements implemented on
sample selected product types, due to wide range of the product type variety to
reduce possible costs and time waste in case of using all the product types as
inputs of the same method-time studies. Automatically collected data analyzed
and the station occupancy, station base occupancy differences revealed in comparison with method-time
measurement results, process capability of these operations done to optimize
process improvements and presented to the decision maker.
References
- Koch,V. (2014) “ Industry 4.0- Opportunities and Challenges of the Industrial Internet. “, PwC
- Pawellek, Günther (2014) “Ganzheitliche Fabrikplanung, Grundlagen, Vorgehensweise, EDV-Unterstützung. “, Springer Vieweg, Berlin.
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- Bittanti S., Lovera M., Moiraghi L. (1998) “Application of Non-Normal Process Capability Indices to Semiconductor Quality Control”, IEEE Transactions on Semicondutor Manufacturing, Vol. 11.
- Pean W.L., Chen K.S. (2002) “One Sides Capability Indices Cpu and Cpl: Decision Making with Sample Information.”, Int J Quality Reliab Manage 19(3):221-45.
- Motorcu A.R., Güllü A. (2004) “Statistical Process Control in Machining, a Case Study for Machine Tool Capability and Process Capability”, Gazi University.
- Işığıçok E. (2008) “Mükemmelliğe Giden Yolda Altı Sigma TÖAİK (DMAIC) Modeli”, Altı Sigma Yalın Konferansları.
- Laring J., Forsman M., Kadefors R., Örtengren R. (2002) “MTM-Based Ergonomic Workload Analysis”, Department of Human Factors Engineering, Chalmers University of Technology, Goteborg, Sweden, National Institute for Working Life, P.O. Box 8850, S-402 72 Goteborg, Sweden.
Abstract
References
- Koch,V. (2014) “ Industry 4.0- Opportunities and Challenges of the Industrial Internet. “, PwC
- Pawellek, Günther (2014) “Ganzheitliche Fabrikplanung, Grundlagen, Vorgehensweise, EDV-Unterstützung. “, Springer Vieweg, Berlin.
- Boysen N., Fliedner M., Scholl A., (2007) “Assembly Line Balancing: Which Model to Use, When? “ Universitaet Hamburg, Friedrich Schiller Universitaet Jena.
- Gökçen H., Ağpak K. (2006) “A Goal Programming Approach to Simple U-line Balancing Problem”, Gazi University, Gaziantep University.
- Vorne Industries Inc. (2002-2008) “Specialist in visual factory and production monitoring systems”, Itasca, USA.
- Newmark L. J. (2003) “Patent: Capability Analysis of Assembly Line Production”, Pittsfield, MA, US.Suzaki K. (1987) “Techniques for Continuous Improvement”, Free Press.
- El-Awady K., Schaper C., and Kailath T. (1996) “Improvements in Cpk Using Real-Time Feedback Control”, IEEE Trans. Semiconduct. Manufact., vol. 9, pp. 87–94.
- Işığıçok E. (2012) “Toplam Kalite Yönetimi Bakış Açısıyla İstatistiksel Kalite Kontrol”, Bursa.
- Bittanti S., Lovera M., Moiraghi L. (1998) “Application of Non-Normal Process Capability Indices to Semiconductor Quality Control”, IEEE Transactions on Semicondutor Manufacturing, Vol. 11.
- Pean W.L., Chen K.S. (2002) “One Sides Capability Indices Cpu and Cpl: Decision Making with Sample Information.”, Int J Quality Reliab Manage 19(3):221-45.
- Motorcu A.R., Güllü A. (2004) “Statistical Process Control in Machining, a Case Study for Machine Tool Capability and Process Capability”, Gazi University.
- Işığıçok E. (2008) “Mükemmelliğe Giden Yolda Altı Sigma TÖAİK (DMAIC) Modeli”, Altı Sigma Yalın Konferansları.
- Laring J., Forsman M., Kadefors R., Örtengren R. (2002) “MTM-Based Ergonomic Workload Analysis”, Department of Human Factors Engineering, Chalmers University of Technology, Goteborg, Sweden, National Institute for Working Life, P.O. Box 8850, S-402 72 Goteborg, Sweden.
Details
| Primary Language | English |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | March 30, 2020 |
| Published in Issue | Year 2020 Volume: 2 Issue: 1 |