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OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu

Year 2021, Volume: 33 Issue: 2, 210 - 224, 31.03.2021

Sema Değirmen-bektaş Fatih Çavdur

https://doi.org/10.7240/jeps.754656

Abstract

Otomatik Depolama ve Geri-Alma (OD/GA) sistemleri için kurulum aşamasında performans analizlerinin yapılması sistem tasarımının optimize edilmesi açısından önemlidir. Bununla birlikte, OD/GA sistemlerinin tasarımı gerçekleştirilirken, fiziksel tasarım parametrelerine ek olarak kontrol parametrelerinin de dikkate alınması gerekliliği karmaşık bir optimizasyon probleminin ortaya çıkmasına neden olmaktadır. Bu problemin ele alınmasında farklı parametre kombinasyonlarını içerecek şekilde esnek bir çözüm sistematiğinin geliştirilmesi önem kazanmaktadır. Bu çalışmada OD/GA sistemlerinin performans analizi için bir simülasyon modeli önerilmektedir. Önerilen model kullanılarak rassal depo içi atama politikası için farklı bekleme noktalarının (giriş, orta ve çıkış) dikkate alındığı senaryolar gerçekçi boyutlarda bir sistem için simüle edilerek sistem performansı ürünlerin sistemde geçirdikleri ortalama zaman, D/GA makinesinin ortalama seyahat süresi ve D/GA makinesi kullanım oranlarına göre incelenmektedir. Ele alınan örnekte, ürünlerin sistemde geçirdiği ortalama zaman ile D/GA makinesinin ortalama seyahat süresi açısından anlamlı farklılıkların oluşmadığı görülmektedir. Öte yandan, ele alınan örnek için D/GA makinesi bekleme noktası giriş konumundayken makine kullanım yüzdesinin daha düşük olduğu, dolayısıyla söz konusu konumlandırmanın daha iyi bir performansa sahip olduğu görülmektedir.

Keywords

Otomatik Depolama ve Geri-Alma (OD/GA) sistemleri bekleme noktası rassal depo içi atama politikası simülasyon modelleme

References

  • Roodbergen, K. J., Vis, I. F. (2009). A survey of literature on automated storage and retrieval systems. European Journal of Operational Research, 194(2), 343-362.
  • Ghomri, L., Sari, Z. (2015). Mathematical modeling of retrieval travel time for flow-rack automated storage and retrieval systems. IFAC-PapersOnLine, 48(3), 1906-1911.
  • Park, B. C. (2001). An optimal dwell point policy for automated storage/retrieval systems with uniformly distributed, rectangular racks. International Journal of Production Research, 39(7), 1469-1480.
  • Regattieri, A., Santarelli, G., Manzini, R., Pareschi, A. (2013). The impact of dwell point policy in an automated storage/retrieval system. International Journal of Production Research, 51(14), 4336-4348.
  • Bortolini, M., Accorsi, R., Gamberi, M., Manzini, R., Regattieri, A. (2015). Optimal design of AS/RS storage systems with three-class-based assignment strategy under single and dual command operations. The International Journal of Advanced Manufacturing Technology, 79(9-12), 1747-1759.
  • Gagliardi, J. P., Renaud, J., Ruiz, A. (2012a). Models for automated storage and retrieval systems: a literature review. International Journal of Production Research, 50(24), 7110-7125.
  • Vasili, M. R., Tang, S. H., Vasili, M. (2012). Automated storage and retrieval systems: a review on travel time models and control policies. Warehousing in the Global Supply Chain, 159-209.
  • Potrc, I., Lerher, T., Kramberger, J., Sraml, M. (2004). Simulation model of multi-shuttle automated storage and retrieval systems. Journal of Materials Processing Technology, 157, 236-244.
  • Eldemir, F., Graves, R. J., Malmborg, C. J. (2003). A comparison of alternative conceptualizing tools for automated storage and retrieval systems. International Journal of Production Research, 41(18), 4517-4539.
  • Lerher, T., Sraml, M., Kramberger, J., Potrc, I., Borovinsek, M., Zmazek, B. (2006). Analytical travel time models for multi aisle automated storage and retrieval systems. The International Journal of Advanced Manufacturing Technology, 30(3-4), 340-356.
  • Guo, S. M., Liu, T. P. (2008). Simulation evaluation of single shuttle and twin shuttle AS/RS. IJEBM, 6(2), 106-115.
  • Yan, B., Lee, D. (2009). AS/RS simulation and optimization based on Flexsim. Intelligent Systems and Applications, International Workshop, 23-24 Mayıs, Wuhan, China.
  • Lerher, T., Sraml, M., Potrc, I., Tollazzi, T. (2010). Travel time models for double-deep automated storage and retrieval systems. International Journal of Production Research, 48(11), 3151-3172.
  • Tang, X. Y., Yang, L. L., Zhang, J. J., Shi, J., Chen, L. C. (2013). Research on AS/RS simulation based on Flexsim. Applied Mechanics and Materials, 347, 406-410.
  • Gagliardi, J. P., Renaud, J., Ruiz, A. (2014). A simulation modeling framework for multiple-aisle automated storage and retrieval systems. Journal of Intelligent Manufacturing, 25(1), 193-207.
  • Bahrami, B., Aghezzaf, E. H., Limere, V. (2014). Simulation based performance analysis of an end-of-aisle automated storage and retrieval system. 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014), 334-341.
  • Fan, W., Dongfen, G., Shujuan, T., Hong, H., Xiao, C. (2015). Travel time model of the storage/retrieval machine for multi-deep AS/RS based on Flexsim. Open Cybernetics & Systemics Journal, 9, 1833-1839.
  • Van Den Berg, J. P., Gademann, A. J. R. M. (2000). Simulation study of an automated storage/retrieval system, International Journal of Production Research, 38(6), 1339-1356.
  • Meller, R. D., Mungwattana, A. (2005). AS/RS dwell‐point strategy selection at high system utilization: A simulation study to investigate the magnitude of the benefit. International Journal of Production Research, 43(24), 5217-5227.
  • Manzini, R., Gamberi, M., Regattieri, A. (2006). Design and control of an AS/RS. The International Journal of Advanced Manufacturing Technology, 28(7-8), 766-774.
  • Zhou, G., Mao, L. (2010). Design and simulation of storage location optimization module in AS/RS based on FLEXSIM. International Journal of Intelligent Systems and Applications, 2(2), 33.
  • Gagliardi, J. P., Renaud, J., Ruiz, A. (2012b). On storage assignment policies for unit-load automated storage and retrieval systems. International Journal of Production Research, 50(3), 879-892.
  • Meneghetti, A., Monti, L. (2013). Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Production Planning & Control, 24(6), 511-520.
  • Schenone, M., Mangano, G., Grimaldi, S. (2016). A simulation approach for computing travel times of warehousing systems: application for AS/RS in a class-based storage configuration. International Journal of Innovations in Engineering and Technology, 7(4), 79-94.

Year 2021, Volume: 33 Issue: 2, 210 - 224, 31.03.2021

Sema Değirmen-bektaş Fatih Çavdur

https://doi.org/10.7240/jeps.754656

Abstract

References

  • Roodbergen, K. J., Vis, I. F. (2009). A survey of literature on automated storage and retrieval systems. European Journal of Operational Research, 194(2), 343-362.
  • Ghomri, L., Sari, Z. (2015). Mathematical modeling of retrieval travel time for flow-rack automated storage and retrieval systems. IFAC-PapersOnLine, 48(3), 1906-1911.
  • Park, B. C. (2001). An optimal dwell point policy for automated storage/retrieval systems with uniformly distributed, rectangular racks. International Journal of Production Research, 39(7), 1469-1480.
  • Regattieri, A., Santarelli, G., Manzini, R., Pareschi, A. (2013). The impact of dwell point policy in an automated storage/retrieval system. International Journal of Production Research, 51(14), 4336-4348.
  • Bortolini, M., Accorsi, R., Gamberi, M., Manzini, R., Regattieri, A. (2015). Optimal design of AS/RS storage systems with three-class-based assignment strategy under single and dual command operations. The International Journal of Advanced Manufacturing Technology, 79(9-12), 1747-1759.
  • Gagliardi, J. P., Renaud, J., Ruiz, A. (2012a). Models for automated storage and retrieval systems: a literature review. International Journal of Production Research, 50(24), 7110-7125.
  • Vasili, M. R., Tang, S. H., Vasili, M. (2012). Automated storage and retrieval systems: a review on travel time models and control policies. Warehousing in the Global Supply Chain, 159-209.
  • Potrc, I., Lerher, T., Kramberger, J., Sraml, M. (2004). Simulation model of multi-shuttle automated storage and retrieval systems. Journal of Materials Processing Technology, 157, 236-244.
  • Eldemir, F., Graves, R. J., Malmborg, C. J. (2003). A comparison of alternative conceptualizing tools for automated storage and retrieval systems. International Journal of Production Research, 41(18), 4517-4539.
  • Lerher, T., Sraml, M., Kramberger, J., Potrc, I., Borovinsek, M., Zmazek, B. (2006). Analytical travel time models for multi aisle automated storage and retrieval systems. The International Journal of Advanced Manufacturing Technology, 30(3-4), 340-356.
  • Guo, S. M., Liu, T. P. (2008). Simulation evaluation of single shuttle and twin shuttle AS/RS. IJEBM, 6(2), 106-115.
  • Yan, B., Lee, D. (2009). AS/RS simulation and optimization based on Flexsim. Intelligent Systems and Applications, International Workshop, 23-24 Mayıs, Wuhan, China.
  • Lerher, T., Sraml, M., Potrc, I., Tollazzi, T. (2010). Travel time models for double-deep automated storage and retrieval systems. International Journal of Production Research, 48(11), 3151-3172.
  • Tang, X. Y., Yang, L. L., Zhang, J. J., Shi, J., Chen, L. C. (2013). Research on AS/RS simulation based on Flexsim. Applied Mechanics and Materials, 347, 406-410.
  • Gagliardi, J. P., Renaud, J., Ruiz, A. (2014). A simulation modeling framework for multiple-aisle automated storage and retrieval systems. Journal of Intelligent Manufacturing, 25(1), 193-207.
  • Bahrami, B., Aghezzaf, E. H., Limere, V. (2014). Simulation based performance analysis of an end-of-aisle automated storage and retrieval system. 3rd International Conference on Operations Research and Enterprise Systems (ICORES 2014), 334-341.
  • Fan, W., Dongfen, G., Shujuan, T., Hong, H., Xiao, C. (2015). Travel time model of the storage/retrieval machine for multi-deep AS/RS based on Flexsim. Open Cybernetics & Systemics Journal, 9, 1833-1839.
  • Van Den Berg, J. P., Gademann, A. J. R. M. (2000). Simulation study of an automated storage/retrieval system, International Journal of Production Research, 38(6), 1339-1356.
  • Meller, R. D., Mungwattana, A. (2005). AS/RS dwell‐point strategy selection at high system utilization: A simulation study to investigate the magnitude of the benefit. International Journal of Production Research, 43(24), 5217-5227.
  • Manzini, R., Gamberi, M., Regattieri, A. (2006). Design and control of an AS/RS. The International Journal of Advanced Manufacturing Technology, 28(7-8), 766-774.
  • Zhou, G., Mao, L. (2010). Design and simulation of storage location optimization module in AS/RS based on FLEXSIM. International Journal of Intelligent Systems and Applications, 2(2), 33.
  • Gagliardi, J. P., Renaud, J., Ruiz, A. (2012b). On storage assignment policies for unit-load automated storage and retrieval systems. International Journal of Production Research, 50(3), 879-892.
  • Meneghetti, A., Monti, L. (2013). Sustainable storage assignment and dwell-point policies for automated storage and retrieval systems. Production Planning & Control, 24(6), 511-520.
  • Schenone, M., Mangano, G., Grimaldi, S. (2016). A simulation approach for computing travel times of warehousing systems: application for AS/RS in a class-based storage configuration. International Journal of Innovations in Engineering and Technology, 7(4), 79-94.
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Articles
Authors

Sema Değirmen-bektaş 0000-0001-9038-7103

Fatih Çavdur 0000-0001-8054-5606

Publication Date March 31, 2021
Published in Issue Year 2021 Volume: 33 Issue: 2

Cite

APA Değirmen-bektaş, S., & Çavdur, F. (2021). OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu. International Journal of Advances in Engineering and Pure Sciences, 33(2), 210-224. https://doi.org/10.7240/jeps.754656
AMA Değirmen-bektaş S, Çavdur F. OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu. JEPS. March 2021;33(2):210-224. doi:10.7240/jeps.754656
Chicago Değirmen-bektaş, Sema, and Fatih Çavdur. “OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon Ile Analizi: Rassal Depo İçi Atama Politikası Durumu”. International Journal of Advances in Engineering and Pure Sciences 33, no. 2 (March 2021): 210-24. https://doi.org/10.7240/jeps.754656.
EndNote Değirmen-bektaş S, Çavdur F (March 1, 2021) OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu. International Journal of Advances in Engineering and Pure Sciences 33 2 210–224.
IEEE S. Değirmen-bektaş and F. Çavdur, “OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu”, JEPS, vol. 33, no. 2, pp. 210–224, 2021, doi: 10.7240/jeps.754656.
ISNAD Değirmen-bektaş, Sema - Çavdur, Fatih. “OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon Ile Analizi: Rassal Depo İçi Atama Politikası Durumu”. International Journal of Advances in Engineering and Pure Sciences 33/2 (March 2021), 210-224. https://doi.org/10.7240/jeps.754656.
JAMA Değirmen-bektaş S, Çavdur F. OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu. JEPS. 2021;33:210–224.
MLA Değirmen-bektaş, Sema and Fatih Çavdur. “OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon Ile Analizi: Rassal Depo İçi Atama Politikası Durumu”. International Journal of Advances in Engineering and Pure Sciences, vol. 33, no. 2, 2021, pp. 210-24, doi:10.7240/jeps.754656.
Vancouver Değirmen-bektaş S, Çavdur F. OD/GA Sistemlerinde D/GA Makinesi Bekleme Noktalarının Simülasyon ile Analizi: Rassal Depo İçi Atama Politikası Durumu. JEPS. 2021;33(2):210-24.