Bir İmalat Sisteminde Darboğaz Modeli ile Üretim Kapasitesinin Artırılması
Year 2017,
Volume: 15 Issue: 1, 1 - 10, 01.05.2017
Yusuf Tansel İç
,
Mustafa Yurdakul
,
Barış Keçeci
,
Öykü Tokmak
Gizem Gül Koç
Gamze Buyruk
Abstract
İmalat sistemlerinin kapasiteleri genellikle bir ya da daha fazla
darboğaz tarafından kısıtlanabilmektedir. Darboğazın tespiti ve darboğazların
kullanım (doluluk) oranlarını en üst düzeyde tutacak şekilde üretim planlama
yapılması imalat sistemlerinde üretim kapasitenin artmasını ve karma vermeyi
kolaylaştırır. Böylece imalat sistemi müşterilerin artan taleplerine cevap
verilebilir ve birim maliyetler düşürülebilir. Bu çalışmada, ilk önce bir saç
metal işleme sisteminde üretimde kullanılan istasyonların kullanım oranları
belirlenerek sistemin üretim kapasitesini kısıtlayan darboğaz belirlenecektir.
Darboğaz modeli ile elde edilen sonuçlara göre imalat sisteminin performansının
geliştirilmesine yönelik olarak öneriler hazırlanarak üretim kapasitesinin
nasıl arttırılacağı gösterilmiştir.
References
- 1. Klahorst, H. T., How To Plan Your FMS, Manufacturing Engineering, September (1983), 52-54.
- 2. Mohamed, Z. M., Flexible Manufacturing Systems – Planning Issues and Solutions, Garland Publishing, Inc., NY,1994.
- 3. Mejabi, O., Modelling in Flexible Manufacturing Systems Design, PhDDissertation, LehighUniversity, Bethlehem,PA,1988.
- 4. Groover, M.P., Automation, Production System,Computer Integrated Manufacturing, Pearson Inc. USA, 2008.
- 5. Jiang, Y-H., Wang, L., Jin, Y-H., Bottleneck analysis for network flow model,Department of Automation, Tsinghua University, Technical Report, Bejing, China,2003.
- 6. Zhang R., Wu, C., Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm, Information Sciences 188, (2012), 236–252.
- 7. Lin Li, Bottleneck detection of complex manufacturing systems using a data-driven method, International Journal of Production Research, 47, (2009) 24, 6929–6940.
- 8. Enns, S. T., Costa, M.P.A, The efectiveness of input control based on aggregate versus bottleneck work loads, Productıon Plannıng & Control, 13, (2002) 7, 614-624.
- 9. El-Tamimi, A.M., Abidi, M.H., Mian, S.H., Aalam, J., Analysis of performance measures of flexible manufacturing system, Journal of King Saud University - Engineering Sciences, 24 (2012) 2, 115–129.
- 10. Singholi, A., Chhabra D., Ali, M., Towards improving the performance of flexible manufacturing system: a case study, Journal of Industrial Engineering and Management, 3 (2010) 1, 87-115.
Year 2017,
Volume: 15 Issue: 1, 1 - 10, 01.05.2017
Yusuf Tansel İç
,
Mustafa Yurdakul
,
Barış Keçeci
,
Öykü Tokmak
Gizem Gül Koç
Gamze Buyruk
References
- 1. Klahorst, H. T., How To Plan Your FMS, Manufacturing Engineering, September (1983), 52-54.
- 2. Mohamed, Z. M., Flexible Manufacturing Systems – Planning Issues and Solutions, Garland Publishing, Inc., NY,1994.
- 3. Mejabi, O., Modelling in Flexible Manufacturing Systems Design, PhDDissertation, LehighUniversity, Bethlehem,PA,1988.
- 4. Groover, M.P., Automation, Production System,Computer Integrated Manufacturing, Pearson Inc. USA, 2008.
- 5. Jiang, Y-H., Wang, L., Jin, Y-H., Bottleneck analysis for network flow model,Department of Automation, Tsinghua University, Technical Report, Bejing, China,2003.
- 6. Zhang R., Wu, C., Bottleneck machine identification method based on constraint transformation for job shop scheduling with genetic algorithm, Information Sciences 188, (2012), 236–252.
- 7. Lin Li, Bottleneck detection of complex manufacturing systems using a data-driven method, International Journal of Production Research, 47, (2009) 24, 6929–6940.
- 8. Enns, S. T., Costa, M.P.A, The efectiveness of input control based on aggregate versus bottleneck work loads, Productıon Plannıng & Control, 13, (2002) 7, 614-624.
- 9. El-Tamimi, A.M., Abidi, M.H., Mian, S.H., Aalam, J., Analysis of performance measures of flexible manufacturing system, Journal of King Saud University - Engineering Sciences, 24 (2012) 2, 115–129.
- 10. Singholi, A., Chhabra D., Ali, M., Towards improving the performance of flexible manufacturing system: a case study, Journal of Industrial Engineering and Management, 3 (2010) 1, 87-115.