The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics
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Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Košice, Letná 9, 042 00 Košice, Slovakia
2
Faculty of Manufacturing Technologies, Technical University of Košice, Bayerova 1, 080 01 Prešov, Slovakia [email protected]
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(23), 9818; https://doi.org/10.3390/su12239818
Received: 8 October 2020 / Revised: 10 November 2020 / Accepted: 18 November 2020 / Published: 24 November 2020
(This article belongs to the Special Issue Actual Trends of Logistics and Industrial Engineering)
This paper examines the use of computer simulation methods to streamline the process of picking materials within warehouse logistics. The article describes the use of a genetic algorithm to optimize the storage of materials in shelving positions, in accordance with the method of High-Runner Strategy. The goal is to minimize the time needed for picking. The presented procedure enables the creation of a software tool in the form of an optimization model that can be used for the needs of the optimization of warehouse logistics processes within various types of production processes. There is a defined optimization problem in the form of a resistance function, which is of general validity. The optimization is represented using the example of 400 types of material items in 34 categories, stored in six rack rows. Using a simulation model, a comparison of a normal and an optimized state is realized, while a time saving of 48 min 36 s is achieved. The mentioned saving was achieved within one working day. However, the application of an approach based on the use of optimization using a genetic algorithm is not limited by the number of material items or the number of categories and shelves. The acquired knowledge demonstrates the application possibilities of the genetic algorithm method, even for the lowest levels of enterprise logistics, where the application of this approach is not yet a matter of course but, rather, a rarity.
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Keywords:
simulation; optimization; warehouse logistics; software; picking; saving
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MDPI and ACS Style
Fedorko, G.; Molnár, V.; Mikušová, N. The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics. Sustainability 2020, 12, 9818. https://doi.org/10.3390/su12239818
AMA Style
Fedorko G, Molnár V, Mikušová N. The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics. Sustainability. 2020; 12(23):9818. https://doi.org/10.3390/su12239818
Chicago/Turabian StyleFedorko, Gabriel, Vieroslav Molnár, and Nikoleta Mikušová. 2020. "The Use of a Simulation Model for High-Runner Strategy Implementation in Warehouse Logistics" Sustainability 12, no. 23: 9818. https://doi.org/10.3390/su12239818
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