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Heuristic comparative assessment of non-conventional warehouse designs Cover

Heuristic comparative assessment of non-conventional warehouse designs

Engineering Management in Production and Services
Volume 13 (2021): Issue 1 (March 2021)
By: Antonio T. Esmero,  Queenie Rose S. Branzuela,  Jessilyn T. Paypa,  Sharmaine Myka S. Rojo,  Eduardo S. Sacay,  Egberto F. Selerio and  Lanndon A. Ocampo  
Open Access
|May 2021

References

  1. Berry, J. R. (1968). Elements of warehouse layout. International Journal of Production Research, 7(2), 105–121. doi: 10.1080/00207546808929801
    Open DOISearch in Google ScholarBack to article
  2. Cardona, L. F., Rivera, L., & Martínez, H. J. (2012). Analytical study of the Fishbone warehouse layout. International Journal of Logistics Research and Applications, 15(6), 365–388. doi: 10.1080/13675567.2012.743981
    Open DOISearch in Google ScholarBack to article
  3. Cardona, L. F., Soto D. F., Rivera, L., & Martínez, H. J. (2015). Detailed design of fishbone warehouse layouts with vertical travel. International Journal of Production Economics, 170, 825–837. doi: 10.1016/j.ijpe.2015.03.006
    Open DOISearch in Google ScholarBack to article
  4. Çelik, M., & Süral, H. (2014). Order picking under random and turnover-based storage policies in fishbone aisle warehouses. IIE Transactions, 46(3), 283–300. doi: 10.1080/0740817X.2013.768871
    Open DOISearch in Google ScholarBack to article
  5. Clark, K. A., & Meller, R. D. (2013). Incorporating vertical travel into non-traditional cross aisles for unit-load warehouse designs. IIE Transactions, 45(12), 1322–1331. doi: 10.1080/0740817X.2012.724188
    Open DOISearch in Google ScholarBack to article
  6. Dukic, G., & Opetuk, T. (2012). Warehouse layouts. In R. Manzini (Ed.), Warehousing in the Global Supply Chain (pp. 55–69). London, UK: Springer. doi: 10.1007/978-1-4471-2274-6
    Open DOISearch in Google ScholarBack to article
  7. Feng, L., Qi, M., Hua, S., & Zhou, Q. (2018). Picking station location in traditional and flying-v aisle warehouses for robotic mobile fulfilment system. In 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (pp. 1436–1440). IEEE. doi: 10.1109/IEEM.2018.8607301
    Open DOISearch in Google ScholarBack to article
  8. Francis, R. L. (1967a). On some problems of rectangular warehouse design and layout. Journal of Industrial Engineering, 18(10), 595–604.
    Search in Google ScholarBack to article
  9. Francis, R. L. (1967b). Sufficient conditions for some optimum-property facility designs. Operations Research, 15(3), 448–466.
    Search in Google ScholarBack to article
  10. Glock, C. H., & Grosse, E. H. (2012). Storage policies and order picking strategies in U-shaped order-picking systems with a movable base. International Journal of Production Research, 50(16), 4344–4357. doi: 10.1080/00207543.2011.588621
    Open DOISearch in Google ScholarBack to article
  11. Gue, K. R., & Meller, R. D. (2009). Aisle configurations for unit-load warehouses. IIE Transactions, 41(3), 171–182. doi: 10.1080/07408170802112726
    Open DOISearch in Google ScholarBack to article
  12. Gue, K. R., Ivanović, G., & Meller, R. D. (2012). A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles. Transportation Research Part E: Logistics and Transportation Review, 48(4), 795–806. doi: 10.1016/j.tre.2012.01.002
    Open DOISearch in Google ScholarBack to article
  13. Huihui, S., Xiaoxia, M., & Xiangguo, M. (2016). Simulation and optimization of warehouse operation based on Flexsim. Journal of Applied Science and Engineering Innovation, 3(4), 125–128.
    Search in Google ScholarBack to article
  14. Kęsek, M., Adamczyk, A., & Klaś, M. (2018). Computer simulation of the operation of a longwall complex using the “Process Flow” concept of FlexSim software. In International Conference on Intelligent Systems in Production Engineering and Maintenance (pp. 97–106). Cham, UK: Springer.
    Search in Google ScholarBack to article
  15. Kocaman, Y., Öztürkoğlu, Ö., & Gümüşoğlu, Ş. (2021). Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points. Central European Journal of Operations Research, 29, 323–355. doi: 10.1007/s10100-019-00646-9
    Open DOISearch in Google ScholarBack to article
  16. Liu, T., Duan, Y., & Liu, Y. (2016). Simulation and optimization of the AS/RS based on Flexsim. In J. Hung, N. Yen, & K. C. Li (Eds.), Frontier computing (pp. 855–863). Lecture Notes in Electrical Engineering, 375. Springer. doi: 10.1007/978-981-10-0539-8_84
    Open DOISearch in Google ScholarBack to article
  17. Masae, M., Glock, C. H., & Grosse, E. H. (2020a). Order picker routing in warehouses: A systematic literature review. International Journal of Production Economics, 224, 107564. doi: 10.1016/j.ijpe.2019.107564
    Open DOISearch in Google ScholarBack to article
  18. Masae, M., Glock, C. H., & Vichitkunakorn, P. (2020b). Optimal order picker routing in the chevron warehouse. IISE Transactions, 52(6), 665–687. doi: 10.1080/24725854.2019.1660833
    Open DOISearch in Google ScholarBack to article
  19. Masae, M., Vichitkunakorn, P., & Glock, C. H. (2019). Optimal routing of order pickers in the leaf warehouse. In The 24th International Symposium on Logistics (ISL 2019), Würzburg, Germany.
    Search in Google ScholarBack to article
  20. Meller, R. D., & Gue, K. R. (2009). The application of new aisle designs for unit-load warehouses. In Proceedings of 2009 NSF Engineering Research and Innovation Conference, Honolulu, Hawaii.
    Search in Google ScholarBack to article
  21. Moder, J. J., & Thornton, H. M. (1965). Quantitative analysis of factors affecting floorspace utilization of palletized storage. Journal of Industrial Engineering, 16(1), 8–18.
    Search in Google ScholarBack to article
  22. Öztürkoğlu, Ö. (2016). Effects of varying input and output points on new aisle designs in warehouses. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 3925–3932). IEEE. doi: 10.1109/CEC.2016.7744287
    Open DOISearch in Google ScholarBack to article
  23. Öztürkoğlu, Ö., & Hoser, D. (2019). A discrete cross aisle design model for order-picking warehouses. European Journal of Operational Research, 275(2), 411–430. doi: 10.1016/j.ejor.2018.11.037
    Open DOISearch in Google ScholarBack to article
  24. Öztürkoğlu, O., Gue, K. R., & Meller, R. D. (2012). Optimal unit load warehouse designs for single-command operations. IIE Transactions, 44(6), 459–475. doi: 10.1080/0740817X.2011.636793
    Open DOISearch in Google ScholarBack to article
  25. Pohl, L. M., Meller, R. D., & Gue, K. R. (2009a). Optimizing fishbone aisles for dual-command operations in a warehouse. Naval Research Logistics, 56(5), 389–403. doi: 10.1002/nav.20355
    Open DOISearch in Google ScholarBack to article
  26. Pohl, L. M., Meller, R. D., & Gue, K. R. (2009b). An analysis of dual-command operations in common warehouse designs. Transportation Research Part E: Logistics and Transportation Review, 45(3), 367–379. doi: 10.1016/j.tre.2008.09.010
    Open DOISearch in Google ScholarBack to article
  27. Pohl, L. M., Meller, R. D., & Gue, K. R. (2011). Turnover-based storage in non-traditional unit-load warehouse designs. IIE Transactions, 43(10), 703–720. doi: 10.1080/0740817X.2010.549098
    Open DOISearch in Google ScholarBack to article
  28. 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, 347–350, 406–410. doi: 10.4028/www.scientific.net/amm.347-350.406
    Open DOISearch in Google ScholarBack to article
  29. Venkitasubramony, R., & Adil, G. K. (2016). Analytical models for pick distances in fishbone warehouse based on exact distance contour. International Journal of Production Research, 54(14), 4305–4326. doi: 10.1080/00207543.2016.1148277
    Open DOISearch in Google ScholarBack to article
  30. White, J. A. (1972). Optimum design of warehouses having radial aisles1. AIIE Transactions, 4(4), 333–336. doi: 10.1080/05695557208974871
    Open DOISearch in Google ScholarBack to article
  31. Yafei, L., Qingming, W., & Peng, G. (2018, March). Research on simulation and optimization of warehouse logistics based on flexsim-take C company as an example. In 2018 7th International Conference on Industrial Technology and Management (ICITM) (pp. 288–293). IEEE. doi: 10.1109/ICITM.2018.8333963
    Open DOISearch in Google ScholarBack to article
DOI: https://doi.org/10.2478/emj-2021-0007 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
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Language: English
Page range: 89 - 103
Submitted on: Jul 15, 2020
|
Accepted on: Jan 5, 2021
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Published on: May 7, 2021
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
warehouse design,
aisle design,
production layout,
Flying-V design,
Fishbone design
Related subjects:
Business and economics,
Business management,
Industries,
Transportation, logistics, air traffic, shipping,
Engineering,
Mechanical engineering,
Production technology,
Process engineering and industrial engineering

© 2021 Antonio T. Esmero, Queenie Rose S. Branzuela, Jessilyn T. Paypa, Sharmaine Myka S. Rojo, Eduardo S. Sacay, Egberto F. Selerio, Lanndon A. Ocampo, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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