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Congestion-Aware Warehouse Flow Analysis and Optimization

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Advances in Visual Computing (ISVC 2015)

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Generating realistic configurations of urban models is a vital part of the modeling process, especially if these models are used for evaluation and analysis. In this work, we address the problem of assigning objects to their storage locations inside a warehouse which has a great impact on the quality of operations within a warehouse. Existing storage policies aim to improve the efficiency by minimizing travel time or by classifying the items based on some features. We go beyond existing methods as we analyze warehouse layout network in an attempt to understand the factors that affect traffic within the warehouse. We use simulated annealing based sampling to assign items to their storage locations while reducing traffic congestion and enhancing the speed of order picking processes. The proposed method enables a range of applications including efficient storage assignment, warehouse reliability evaluation and traffic congestion estimation.

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  1. Smelik, R.M., Tutenel, T., Bidarra, R., Benes, B.: A survey on procedural modelling for virtual worlds. Comput. Graph. Forum 33, 31–50 (2014)

    Article  Google Scholar 

  2. Hausman, W., Schwarz, L.B., Graves, S.C.: Optimal storage assignment in automatic warehouse systems. Manage. Sci. 22, 629–638 (1976)

    Article  MATH  Google Scholar 

  3. Merrell, P., Schkufza, E., Li, Z., Agrawala, M., Koltun, V.: Interactive furniture layout using interior design guidelines. ACM Trans. Graph. 30, 87:1–87:10 (2011)

    Article  Google Scholar 

  4. Yu, L.F., Yeung, S.K., Tang, C.K., Terzopoulos, D., Chan, T.F., Osher, S.J.: Make it home: automatic optimization of furniture arrangement. ACM Trans. Graph. 30, 86:1–86:12 (2011)

    Article  Google Scholar 

  5. Gue, K.R., Meller, R.D.: Aisle configurations for unit-load warehouses. IIE Trans. 41, 171–182 (2009)

    Article  Google Scholar 

  6. Galle, P.: An algorithm for exhaustive generation of building floor plans. Commun. ACM 24, 813–825 (1981)

    Article  Google Scholar 

  7. Wong, D.F., Liu, C.L.: A new algorithm for floorplan design. In: Proceedings of the 23rd ACM/IEEE Design Automation Conference. DAC 1986, Piscataway, NJ, USA, pp. 101–107. IEEE Press (1986)

    Google Scholar 

  8. Bao, F., Yan, D.M., Mitra, N.J., Wonka, P.: Generating and exploring good building layouts. ACM Trans. Graph. 32, 1 (2013)

    Google Scholar 

  9. Liu, H., Yang, Y.L., AlHalawani, S., Mitra, N.J.: Constraint-aware interior layout exploration for precast concrete-based buildings. Vis. Comput. 29, 663–673 (2013). (CGI Special Issue)

    Article  Google Scholar 

  10. Vanegas, C.A., Garcia-Dorado, I., Aliaga, D.G., Benes, B., Waddell, P.: Inverse design of urban procedural models. ACM Trans. Graph. 31, 168:1–168:11 (2012)

    Article  Google Scholar 

  11. AlHalawani, S., Yang, Y.L., Liu, H., Mitra, N.J.: Interactive facades: analysis and synthesis of semi-regular facades. Comput. Graph. Forum (Eurographics) 32, 215–224 (2013)

    Article  Google Scholar 

  12. Tsige, M.T.: Improving order-picking efficiency via storage assignment strategies (2013)

    Google Scholar 

  13. Meller, R.D., Gau, K.Y.: The facility layout problem: Recent and emerging trends and perspectives. J. Manuf. Syst. 15, 351–366 (1996)

    Article  Google Scholar 

  14. Meller, R.: Optimal order-to-lane assignments in an order accumulation/sortation system. IIE Trans. 29, 293–301 (1997)

    Google Scholar 

  15. Tanchoco, J.M.A., Tompkins, J.A., White, J.A., Bozer, Y.A.: Facilities Planning. Wiley, New York (2002)

    Google Scholar 

  16. Hall, R.W.: Distance approximations for routing manual pickers in a warehouse. IIE Trans. 25, 76–87 (1993)

    Article  Google Scholar 

  17. Petersen, C.G.: An evaluation of order picking routeing policies. Int. J. Oper. Prod. Manage. 17, 1098–1111 (1997)

    Article  Google Scholar 

  18. Petersen, C.G.: The impact of routing and storage policies on warehouse efficiency. Int. J. Oper. Prod. Manage. 19, 1053–1064 (1999)

    Article  Google Scholar 

  19. AlHalawani, S., Yang, Y.L., Wonka, P., Mitra, N.J.: What makes london work like London? Comput. Graph. Forum 33, 157–165 (2014)

    Article  Google Scholar 

  20. Gallager, R.: A minimum delay routing algorithm using distributed computation. IEEE Trans. Commun. 25, 73–85 (1977)

    Article  MATH  MathSciNet  Google Scholar 

  21. Aslam, J., Lim, S., Rus, D.: Congestion-aware traffic routing system using sensor data. 2012 15th International IEEE Conference on Intelligent Transportation Systems, pp. 1006–1013 (2012)

    Google Scholar 

  22. Ebrahimi, M., Daneshtalab, M., Farahnakian, F., Plosila, J., Liljeberg, P., Palesi, M., Tenhunen, H.: Haraq: Congestion-aware learning model for highly adaptive routing algorithm in on-chip networks. In: Proceedings of the 2012 6th IEEE/ACM International Symposium on Networks-on-Chip, NoCS 2012, pp. 19–26 (2012)

    Google Scholar 

  23. Vaughan, T.S., Petersen, G.C.: The effect of warehouse cross aisles on order picking efficiency. Int. J. Prod. Res. 37, 881–897 (1999)

    Article  MATH  Google Scholar 

  24. Myers, A.: Complex System Reliability, 2nd edn. Springer, London (2010)

    Book  MATH  Google Scholar 

  25. Kirkpatrick, S., Gelatt, C.D., Vecchi, M.P.: Optimization by simulated annealing. Sci. 220, 617–680 (1983)

    Article  MathSciNet  Google Scholar 

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We thank the anonymous reviewers for their useful suggestions and Dong-Ming Yan for his valuable assistance in preparing the simulation framework. This work was partly supported by an Anita Borg Google PhD scholarship award.

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Correspondence to Sawsan AlHalawani .

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AlHalawani, S., Mitra, N.J. (2015). Congestion-Aware Warehouse Flow Analysis and Optimization. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2015. Lecture Notes in Computer Science(), vol 9475. Springer, Cham.

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  • Print ISBN: 978-3-319-27862-9

  • Online ISBN: 978-3-319-27863-6

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