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KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA

Year 2016, Volume: 3 Issue: 5, 213 - 224, 02.08.2016

Abstract

Günümüzde teknolojinin gelişmesi ve küreselleşme ile artan ticaret hacmi, lojistik operasyonlarının optimizasyonunu zorunlu hale getirmiştir. Bu operasyonları yüksek hızda, yüksek doğrulukta ve düşük maliyetle yürütmek için matematiksel optimizasyon araçları ve modelleri sıklıkla kullanılmaktadır. Konteyner yükleme problemleri, sık karşılaşılan lojistik optimizasyon problemlerinden biridir. Optimum sonuçlara ulaşabilmek için kesin çözüm veren algoritmaların kullanılmasının yanı sıra, büyük boyutlu problemlerin çözümünde kesin algoritmalar yetersiz kalabilmektedir. Bu çalışmada, bir filtre fabrikasının lojistik operasyonları incelenerek, ticari araçların ve konteynerlerin  karmaşık yük ve yükleme planlarının optimizasyonu amaçlanmaktadır. Kutulama algoritmaları, konteyner sayısının azaltılması ve yükleme hızının arttırılması amacıyla geliştirilerek uygun optimal kararların alınmasında kullanılacaktır.

References

  • Araújo, E.J., Chaves, A.A., Salles Neto, L.L., Azevedo A.T. Pareto clustering search applied for 3D container ship loading plan problem. Expert Systems with Applications, 2016, 44, 50-57
  • Araya, I., Riff, M.C. A beam search approach to the container loading problem. Computers & Operations Research. 2014, 43, 100-107
  • Bischoff, E.E., Marriott, M.D. A comparative evaluation of heuristics for container loading, European Journal of Operational Research. 1990, 44, 267.
  • Bortfeldt, A., Wäscher, G. Container loading problems-A state of art review. European Journal of Operational Research .2013, 229, 1-20
  • Che, C.H., Huang, W., Lim, A., Zhu, W. The multiple container loading cost minimization problem. European Journal of Operational Research, 2011, 214, 3, 501-511
  • Murat, E., Çanci, M. Lojistik Yönetimi. 4 rd ed.; UTIKAD Yayınları, Istanbul,Turkiye
  • George J.A., Robinson, D.F. A heuristic for packing boxes into a container. Computers and Operations Research, 1980, 7, 147-156.
  • Gonçalves, J.F., Resende, M. G. C. A parallel multi-population biased random- key genetic algorithm for a container loading problem. Computers & Operations Research, 2012, 39, 179-190
  • Ji, M., Guo, W., Zhu, H., Yang, Y. Optimization of loading sequence and rehandling strategy for multi-quay crane operations in container terminals. Transportation Research Part E, 2015, 80, 1-19
  • Junqueira, L., Morabito, R., Yamashita, D.S. Three-dimensional container loading models with cargo stability and load bearing constraints. Computers & Operations Research, 2012, 39, 74-85
  • Kang, K., Moon, I., Wang, H., A hybrid genetic algorithm with a new packing strategy for the three-dimensional bin packing problem. Applied Mathematics and Computation, 2012, 1287–1299
  • Li, X., Zhang, K. A hybrid differential evolution algorithm for multiple container loading problem with heterogeneous containers. Computers & Industrial Engineering, 2015, 90, 305–313
  • Lim, A., Rodriguesb, B, Wang, Y. A multi-faced buildup algorithm for three-dimensional packing problems. Omega ,2003, 31,471–481
  • Lim, A., Ma, H., Xu, J., Zhang, X. An iterated construction approach with dynamic prioritization for solving the container loading problems. Expert Systems with Applications, 2012, 39, 4292-4305
  • Lim, A., Ma, H., Qiu, C., Zhu, W. The single container loading problem with axle weight constraints. International Journal of Production Economics, 2013, 144, 358-369
  • Sheng, L., Tan, W., Xu, Z. Liu, X. A tree search algorithm for the container loading problem. Computers & Industrial Engineering, 2014, 75, 20-30
  • Martello,S., and Toth,P., (1990), “Knapsack problems (PDF)”. Chichester, UK: John Wiley and Sons. p. 221. ISBN 0471924202.
  • Sheikhalishahi, M., Wallece, R.M., Grandinetti L., Poletti J.L.V., Guerriero, F. A multi-dimensional job scheduling. Future Generation Computer Systems, 2016, 75, 123– 131
  • Ramos, G.A., Oliveira, J. F., Gonçalves, J.F., Lopes, M.P. Dynamic stability metrics for the container loading problem. Transportation Research Part C, 2015, 60, 480-497
  • Sheng, L., Hongxia, Z., Xisong, D., Changjian, C., A heuristic algorithm for container loading of pallets with infill boxes. European Journal of Operational Research, 2016, 252, 728-736
  • Thapatsuwana, P., Pongcharoena, P., Hicksb, C., Chainatec, W. Development of a stochastic optimization tool for solving the multiple container packing problems. International Journal of Production Economics, 2012, 140, 737–748
  • Vazirani, Vijay V. Approximation Algorithms. 1 rd ed.; Springer-Verlag Berlin Heidelberg
  • http://www.cc.gatech.edu/fac/Vijay.Vazirani/book.pdf (Özgün eser 2001 tarihlidir).
  • Wang, N., Lim, A., Zhu, W. A multi-round partial beam search approach for the single container loading problem with shipment priority. International Journal of Production Economics, 2013, 145, 531-540
  • Wei, L., Zhu, W., Lim, A. A goal-driven prototype column generation strategy for the multiple container loading cost minimization problems. European Journal of Operational Research, 2015, 241, 39-49
  • Zhang, D., Peng, Y., Leung, S.C.H. A heuristic block-loading algorithm based on multi-layer search for the container loading problem. Computers & Operations Research, 2012, 39, 2267-2276
  • Zheng, J., Chien, C., Gen, M.,(2015), “Multi-objective multi population biased random-key genetic algorithm for the 3-D container loading problem”, Computers & Industrial Engineering, Volume 89, Pages 80-87.
Year 2016, Volume: 3 Issue: 5, 213 - 224, 02.08.2016

Abstract

References

  • Araújo, E.J., Chaves, A.A., Salles Neto, L.L., Azevedo A.T. Pareto clustering search applied for 3D container ship loading plan problem. Expert Systems with Applications, 2016, 44, 50-57
  • Araya, I., Riff, M.C. A beam search approach to the container loading problem. Computers & Operations Research. 2014, 43, 100-107
  • Bischoff, E.E., Marriott, M.D. A comparative evaluation of heuristics for container loading, European Journal of Operational Research. 1990, 44, 267.
  • Bortfeldt, A., Wäscher, G. Container loading problems-A state of art review. European Journal of Operational Research .2013, 229, 1-20
  • Che, C.H., Huang, W., Lim, A., Zhu, W. The multiple container loading cost minimization problem. European Journal of Operational Research, 2011, 214, 3, 501-511
  • Murat, E., Çanci, M. Lojistik Yönetimi. 4 rd ed.; UTIKAD Yayınları, Istanbul,Turkiye
  • George J.A., Robinson, D.F. A heuristic for packing boxes into a container. Computers and Operations Research, 1980, 7, 147-156.
  • Gonçalves, J.F., Resende, M. G. C. A parallel multi-population biased random- key genetic algorithm for a container loading problem. Computers & Operations Research, 2012, 39, 179-190
  • Ji, M., Guo, W., Zhu, H., Yang, Y. Optimization of loading sequence and rehandling strategy for multi-quay crane operations in container terminals. Transportation Research Part E, 2015, 80, 1-19
  • Junqueira, L., Morabito, R., Yamashita, D.S. Three-dimensional container loading models with cargo stability and load bearing constraints. Computers & Operations Research, 2012, 39, 74-85
  • Kang, K., Moon, I., Wang, H., A hybrid genetic algorithm with a new packing strategy for the three-dimensional bin packing problem. Applied Mathematics and Computation, 2012, 1287–1299
  • Li, X., Zhang, K. A hybrid differential evolution algorithm for multiple container loading problem with heterogeneous containers. Computers & Industrial Engineering, 2015, 90, 305–313
  • Lim, A., Rodriguesb, B, Wang, Y. A multi-faced buildup algorithm for three-dimensional packing problems. Omega ,2003, 31,471–481
  • Lim, A., Ma, H., Xu, J., Zhang, X. An iterated construction approach with dynamic prioritization for solving the container loading problems. Expert Systems with Applications, 2012, 39, 4292-4305
  • Lim, A., Ma, H., Qiu, C., Zhu, W. The single container loading problem with axle weight constraints. International Journal of Production Economics, 2013, 144, 358-369
  • Sheng, L., Tan, W., Xu, Z. Liu, X. A tree search algorithm for the container loading problem. Computers & Industrial Engineering, 2014, 75, 20-30
  • Martello,S., and Toth,P., (1990), “Knapsack problems (PDF)”. Chichester, UK: John Wiley and Sons. p. 221. ISBN 0471924202.
  • Sheikhalishahi, M., Wallece, R.M., Grandinetti L., Poletti J.L.V., Guerriero, F. A multi-dimensional job scheduling. Future Generation Computer Systems, 2016, 75, 123– 131
  • Ramos, G.A., Oliveira, J. F., Gonçalves, J.F., Lopes, M.P. Dynamic stability metrics for the container loading problem. Transportation Research Part C, 2015, 60, 480-497
  • Sheng, L., Hongxia, Z., Xisong, D., Changjian, C., A heuristic algorithm for container loading of pallets with infill boxes. European Journal of Operational Research, 2016, 252, 728-736
  • Thapatsuwana, P., Pongcharoena, P., Hicksb, C., Chainatec, W. Development of a stochastic optimization tool for solving the multiple container packing problems. International Journal of Production Economics, 2012, 140, 737–748
  • Vazirani, Vijay V. Approximation Algorithms. 1 rd ed.; Springer-Verlag Berlin Heidelberg
  • http://www.cc.gatech.edu/fac/Vijay.Vazirani/book.pdf (Özgün eser 2001 tarihlidir).
  • Wang, N., Lim, A., Zhu, W. A multi-round partial beam search approach for the single container loading problem with shipment priority. International Journal of Production Economics, 2013, 145, 531-540
  • Wei, L., Zhu, W., Lim, A. A goal-driven prototype column generation strategy for the multiple container loading cost minimization problems. European Journal of Operational Research, 2015, 241, 39-49
  • Zhang, D., Peng, Y., Leung, S.C.H. A heuristic block-loading algorithm based on multi-layer search for the container loading problem. Computers & Operations Research, 2012, 39, 2267-2276
  • Zheng, J., Chien, C., Gen, M.,(2015), “Multi-objective multi population biased random-key genetic algorithm for the 3-D container loading problem”, Computers & Industrial Engineering, Volume 89, Pages 80-87.
There are 27 citations in total.

Details

Journal Section Makaleler
Authors

Sezgi Tekil This is me

Vildan Özkır

Publication Date August 2, 2016
Published in Issue Year 2016 Volume: 3 Issue: 5

Cite

APA Tekil, S., & Özkır, V. (2016). KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, 3(5), 213-224.
AMA Tekil S, Özkır V. KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi. August 2016;3(5):213-224.
Chicago Tekil, Sezgi, and Vildan Özkır. “KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA”. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi 3, no. 5 (August 2016): 213-24.
EndNote Tekil S, Özkır V (August 1, 2016) KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi 3 5 213–224.
IEEE S. Tekil and V. Özkır, “KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA”, Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, vol. 3, no. 5, pp. 213–224, 2016.
ISNAD Tekil, Sezgi - Özkır, Vildan. “KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA”. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi 3/5 (August 2016), 213-224.
JAMA Tekil S, Özkır V. KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi. 2016;3:213–224.
MLA Tekil, Sezgi and Vildan Özkır. “KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA”. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi, vol. 3, no. 5, 2016, pp. 213-24.
Vancouver Tekil S, Özkır V. KONTEYNER YÜKLEME PROBLEMLERİNİN İNCELENMESİ VE LOJİSTİK SEKTÖRÜNDE BİR UYGULAMA. Toros Üniversitesi İİSBF Sosyal Bilimler Dergisi. 2016;3(5):213-24.