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The Simulation Study of Recursive ABC Method for Warehouse Management

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Computational Statistics and Mathematical Modeling Methods in Intelligent Systems (CoMeSySo 2019 2019)


The paper deals with a complex warehouse simulation to accomplish a competent solution. It belongs to a group of articles where we are constantly trying to explore the use of warehouses and add further extensions. Greater consideration is concentrated on the use of recursive ABC method for warehouse management in extended concept. The aspiration of the simulation study is to prove whether recursive ABC method returns additional benefits in optimizing the warehouse in this case at a warehouse of different sizes. The complete simulation and the mathematical calculations are accomplished in the Witness Lanner simulation program. The goal of this simulation study is to observe a better solution using recursive ABC method in each part of the model multiple times. Both warehouses are established first on the ABC method, secondary are based on the recursion method. The focus is on two very different layouts of warehouses. Further, the simulation study contributes to propositions that can enhance warehouse management and thus decrease costs. The Witness simulation environment is used for modelling and experimenting. All mathematical computations and simulations are evaluated and measured, as well as all settings of input and output values. Description of the proposed simulation experiments and evaluation of achieved results are presented in tables.

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This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and also by the Internal Grant Agency of Tomas Bata University under the project No. IGA/FAI/2017/003.

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Correspondence to Milan Jemelka .

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Jemelka, M., Chramcov, B. (2019). The Simulation Study of Recursive ABC Method for Warehouse Management. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Computational Statistics and Mathematical Modeling Methods in Intelligent Systems. CoMeSySo 2019 2019. Advances in Intelligent Systems and Computing, vol 1047. Springer, Cham.

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