Abstract
In this paper we present a methodology to evaluate policies for automated storage and retrieval system (AS/RS) in warehouses. It is composed by four steps: (1) formal definition of the physical AS/RS and descriptive modeling on a simulation framework; (2) model validation and finding of potential bottlenecks by the statistical analysis of data logs; (3) definition of operational optimization policies to mitigate such bottlenecks; (4) evaluation of the policies using the simulation tool through key performance indicators (KPI). In particular, we take into consideration a unit-load AS/RS, we present a new simulation model combining discrete events and agent based paradigms. We consider an industrial test case, focusing on scheduling policies that exploit mathematical optimization, and we evaluate the effects of our approach on real world data. Experiments prove the effectiveness of our methodology.
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References
AD-COM: (2019). https://www.ad-com.net. Accessed April 2019
Boysen, N., Stephan, K.: A survey on single crane scheduling in automated storage/retrieval systems. Eur. J. Oper. Res. 254(3), 691–704 (2016)
Boysen, N., de Koster, R., Weidinger, F.: Warehousing in the e-commerce era: a survey. Eur. J. Oper. Res. 277(2), 396–411 (2018)
Colla, V., Nastasi, G.: Modelling and simulation of an automated warehouse for the comparison of storage strategies. In: Modelling, Simulation and Optimization, pp. 471–486 (2010). IntechOpen
Dooly, D.R., Lee, H.F.: A shift-based sequencing method for twin-shuttle automated storage and retrieval systems. IIE Trans. 40(6), 586–594 (2008)
Gagliardi, J.-P., Renaud, J., Ruiz, A.: A simulation modeling framework for multiple-aisle automated storage and retrieval systems. J. Intell. Manuf. 25(1), 193–207 (2014)
Gu, J., Goetschalckx, M., McGinnis, L.F.: Research on warehouse operation: a comprehensive review. Eur. J. Oper. Res. 177(1), 1–21 (2007)
Gu, J., Goetschalckx, M., McGinnis, L.F.: Research on warehouse design and performance evaluation: a comprehensive review. Eur. J. Oper. Res. 203(3), 539–549 (2010)
Güller, M., Hegmanns, T.: Simulation-based performance analysis of a miniload multishuttle order picking system. Proc. CIRP 17, 475–480 (2014)
Wauters, T., Villa, F., Christiaens, J., Alvarez-Valdes, R., Berghe, G.V.: A decomposition approach to dual shuttle automated storage and retrieval systems. Comput. Ind. Eng. 101, 325–337 (2016)
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Partially funded by Regione Lombardia, grant agreement n. E97F17000000 009, Project AD-COM.
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Barbato, M., Ceselli, A., Premoli, M. (2019). Evaluating Automated Storage and Retrieval System Policies with Simulation and Optimization. In: Paolucci, M., Sciomachen, A., Uberti, P. (eds) Advances in Optimization and Decision Science for Society, Services and Enterprises. AIRO Springer Series, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-34960-8_12
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DOI: https://doi.org/10.1007/978-3-030-34960-8_12
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