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Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points

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Abstract

This study focuses on investigating the best layouts of a unit-load warehouse for single-command operation. We propose a model for unit-load warehouses having a single cross aisle and multiple pickup & deposit (P&D) points located at the front side of the warehouse. The model is constructed in continuous space for single-command travel and allows the cross aisle and picking aisles to take any angle between 0 and π. We then search for the best aisle arrangements that minimize the expected single-command distance from a given varying number of P&D points under randomized storage policy. Additionally, we introduce three material flow policies to investigate the effect of usage density of P&D points on the design. We also investigate the effects of shape ratio on angles of aisles in the best designs. Last, we also solved a problem instance with unsymmetrically allocated P&D points to show how to use our proposed models. Therefore, we present that warehouses with width to depth ratio 3:1 are good for high number of P&D points. We also show that the best designs provide more savings in travel over the equivalent traditional design if flows are more concentrated around the central P&D point. The best-found designs also present that the single-command distance can be reduced to 8–20% based on the characteristics of the unit-load warehouse.

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References

  • Bassan Y, Roll Y, Rosenblatt MJ (1980) Internal layout design of a warehouse. AIIE Trans. 12(4):317–322

    Article  Google Scholar 

  • Bender PS (1981) Mathematical modeling of the 20/80 rule: theory and practice. J Bus Logist 2(2):139–157

    Google Scholar 

  • Bortolini M, Faccio M, Gamberi M, Manzini R (2015) Diagonal cross-aisles in unit-load warehouses to increase handling performance. Int J Prod Econ 170:838–849

    Article  Google Scholar 

  • Bortolini M, Faccio M, Ferrari E, Gamberi M, Pilati F (2019) Design of diagonal cross-aisle warehouses with class-based storage assignment strategy. Int J Adv Manuf Technol 100(9–12):2521–2536

    Article  Google Scholar 

  • Cardona LF, Rivera L, Martínez HJ (2012) Analytical study of the fishbone warehouse layout. Int J Logist Res Appl 15(6):365–388

    Article  Google Scholar 

  • Çelik M, Süral H (2014) Order picking under random and turnover-based storage policies in fishbone aisle warehouses. IIE Trans 46(3):283–300

    Article  Google Scholar 

  • Clark KA, Meller RD (2013) Incorporating vertical travel into non-traditional cross aisles for unit-load warehouse designs. IIE Trans 45(12):1322–1331

    Article  Google Scholar 

  • Clerk M, Kennedy J (2002) The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1):58–73

    Article  Google Scholar 

  • Dukic G, Opetuk, T (2008) Analysis of order-picking in warehouses with fishbone layout. In: Proceedings of ICIL, 8

  • Francis RL (1967) On some problems of rectangular warehouse design and layout. J Ind Eng 18(10):595

    Google Scholar 

  • Galvez OD, Ting CJ (2012) Analysis of unit-load warehouses with nontraditional aisles and multiple P&D points. In: The 13th Asia-Pacific conference on industrial engineering and management systems, pp 2011–2021

  • Gue KR, Meller RD (2009) Aisle configurations for unit-load warehouses. IIE Trans 41(3):171–182

    Article  Google Scholar 

  • Gue K, Ivanović G, Meller R (2012) A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles. Transp Res Part E Logist Transp Rev 48(4):795–806

    Article  Google Scholar 

  • Henn S, Koch S, Gerking H, Wäscher G (2013) A U-shaped layout for manual order-picking systems. Logist Res 6(4):245–261

    Article  Google Scholar 

  • Kennedy J, Eberhart RC (1995) Particle swarm optimization. Proc IEEE Int Conf Neural Netw 4:1942–1948

    Article  Google Scholar 

  • Meller RD, Gue KR (2009) The application of new aisle design for unit-load warehouses. In: Proceeding of 2009 NSF engineering research and innovation conference, Hawaii

  • Mesa A (2016) A methodology to incorporate multiple cross aisles in a non-traditional warehouse layout. Dissertation, Ohio University

  • Öztürkoğlu Ö (2015) Investigating the robustness of aisles in a non-traditional unit-load warehouse design: Leverage. In: 2015 IEEE congress on evolutionary computation (CEC), pp 2230–2236

  • 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

  • Öztürkoğlu O, Hoşer D (2018) A new warehouse design problem and a proposed polynomial-time optimal order picking algorithm. J Fac Eng Archit Gazi Univ 33(4):1569–1588

    Google Scholar 

  • Öztürkoğlu Ö, Hoşer D (2019) A discrete cross aisle design model for order-picking warehouses. Eur J Oper Res 275(2):411–430

    Article  Google Scholar 

  • Öztürkoğlu Ö, Mağara A (2019) A new layout problem for order-picking warehouses. In: Proceedings of the 9th international conference on industrial engineering and operations management. Bangkok, Thailand, pp 1047–1058

  • Öztürkoğlu Ö, Gue KR, Meller RD (2012) Optimal unit-load warehouse designs for single-command operations. IIE Trans 44(6):459–475

    Article  Google Scholar 

  • Öztürkoğlu Ö, Gue KR, Meller RD (2014) A constructive aisle design model for unit-load warehouses with multiple pickup and deposit points. Eur J Oper Res 236(1):382–394

    Article  Google Scholar 

  • Öztürkoğlu Ö, Kocaman Y, Gümüşoğlu Ş (2018) Evaluating Chevron aisle design in unit load warehouses with multiple pickup and deposit points. J Fac Eng Archit Gazi Univ 33(3):793–807

    Google Scholar 

  • Pohl LM, Meller RD, Gue KR (2009) Optimizing fishbone aisles for dual-command operations in a warehouse. Nav Res Logist (NRL) 56(5):389–403

    Article  Google Scholar 

  • Pohl L, Meller R, Gue K (2011) Turnover-based storage in nontraditional unit-load warehouse designs. IIE Trans 43(10):703–720

    Article  Google Scholar 

  • Roodbergen KJ, De Koster R (2001) Routing order pickers in a warehouse with a middle aisle. Eur J Oper Res 133(1):32–43

    Article  Google Scholar 

  • Scholz A, Wäscher G (2017) order batching and picker routing in manual order picking systems: the benefits of integrated routing. CEJOR 25(2):491–520

    Article  Google Scholar 

  • Shi Y, Eberhart R (1998a) A modified particle swarm optimizer. Proceedings of the IEEE congress on evolutionary computation, pp 69–73

  • Shi Y, Eberhart R (1998b) Parameter selection in particle swarm optimization. In: Annual conference on evolutionary programming, San Diego

  • Thomas LM, Meller RD (2014) Analytical models for warehouse configuration. IIE Trans 46(9):928–947

    Article  Google Scholar 

  • Venkitasubramony R, Adil GK (2016) Analytical models for pick distances in fishbone warehouse based on exact distance contour. Int J Prod Res 54(14):4305–4326

    Article  Google Scholar 

  • White JA (1972) Optimum design of warehouses having radial aisles. AIIE Trans 4(4):333–336

    Article  Google Scholar 

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Correspondence to Yeliz Kocaman.

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Appendix A

Appendix A

See Table 12.

Table 12 Best-found solutions and expected travel distances in the equivalent one-block design

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Kocaman, Y., Öztürkoğlu, Ö. & Gümüşoğlu, Ş. Aisle designs in unit-load warehouses with different flow policies of multiple pickup and deposit points. Cent Eur J Oper Res 29, 323–355 (2021). https://doi.org/10.1007/s10100-019-00646-9

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  • DOI: https://doi.org/10.1007/s10100-019-00646-9

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