Simulation modeling in heterogeneous distributed computing environments to support decisions making in warehouse logistics

We address an important problem of automation in simulation modeling of logistics warehouses. An effective solution for such a large-scale problem is difficult to obtain without high-performance computing. To this end, we propose a new approach for adjusting management system parameters of the wareh...

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Bibliographic Details
Published in:Procedia engineering Vol. 201; pp. 524 - 533
Main Authors: Bychkov, I., Oparin, G., Tchernykh, A., Feoktistov, A., Bogdanova, V., Dyadkin, Yu, Andrukhova, V., Basharina, O.
Format: Journal Article
Language:English
Published: Elsevier Ltd 2017
Subjects:
distributed computing
parameter sweep applications
queue systems
simulation modeling
toolkit
simulation modeling
toolkit
parameter sweep applications
queue systems
distributed computing
ISSN:1877-7058, 1877-7058
Online Access:Get full text
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Summary:We address an important problem of automation in simulation modeling of logistics warehouses. An effective solution for such a large-scale problem is difficult to obtain without high-performance computing. To this end, we propose a new approach for adjusting management system parameters of the warehouse in its production use. It is based on the integration of conceptual, wireframe, and service-oriented programming used to develop parameter sweep applications and data analysis in simulation modeling in heterogeneous distributed computing environments. We design a toolkit to support modeling of warehouse logistics. Using this toolkit, we develop a parameter sweep application and solve three optimization tasks for adjusting parameters of a warehouse management system. The practical experiments are focused on the refrigerated warehouse. The developed applications demonstrate high efficiency and scalability capabilities to optimize nine criteria to cope with different production demands.
ISSN:1877-7058
1877-7058
DOI:10.1016/j.proeng.2017.09.647