Virtual Simulation Modeling as a Key Element of Warehouse Location Optimization Strategy
Online veröffentlicht: 05. Sept. 2024
Seitenbereich: 339 - 344
Eingereicht: 01. Jan. 2024
Akzeptiert: 01. Juli 2024
DOI: https://doi.org/10.2478/mspe-2024-0032
Schlüsselwörter
© 2024 Marek Krynke, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
This article examines the utilization of computer simulation techniques for optimizing warehouse locations, an essential component of efficient supply chain management. The study employs a detailed simulation model built using FlexSim software to analyze various decision-making scenarios and identify the optimal warehouse locations while considering market demand for different products. The model integrates a finite set of decision variables and constraints specific to the logistics problem, offering a structured approach to evaluate alternative strategies. Key stages in the development of the simulation model are outlined, including the definition of input parameters, the execution of simulations, and the interpretation of results. The findings demonstrate that virtual simulation modeling significantly enhances decision-making processes by providing precise insights into the interactions within the distribution network. Additionally, the use of simulation results in considerable time and cost savings by reducing the need for costly physical trials. This research underscores the effectiveness of computer simulation in optimizing warehouse locations, contributing to improved supply chain performance and operational efficiency.