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Open Access Journal Article

Simulation Modeling for Business Process Optimization

by Sophia Anderson 1,*
1
Sophia Anderson
*
Author to whom correspondence should be addressed.
MAD  2023 5(1):38; https://doi.org/10.69610/j.mad.20230312
Received: 23 February 2023 / Accepted: 3 March 2023 / Published Online: 12 March 2023
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Abstract

The present study delves into the utilization of simulation modeling as a strategic tool for optimizing business processes. Simulation modeling offers a powerful and versatile approach for businesses to assess and enhance their operational efficiency. By creating digital representations of business processes, organizations can identify bottlenecks, predict outcomes, and make informed decisions without disrupting the actual workflow. This paper focuses on the methodologies and techniques employed in simulation modeling, including discrete event simulation, system dynamics, and agent-based modeling. It explores how these models can be used to optimize various aspects of a business, such as resource allocation, scheduling, and supply chain management. Furthermore, the paper discusses the challenges and considerations involved in implementing simulation models, including data collection, model validation, and acceptance by stakeholders. The findings suggest that simulation modeling is not only a valuable tool for optimizing business processes but also a cost-effective alternative to trial-and-error methods, thereby contributing to sustainable growth and profitability.

Keywords: Simulation Modeling; Business Process Optimization; Discrete Event Simulation; System Dynamics; Agent-Based Modeling.;
Copyright: © 2023 by Anderson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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APA Style
Anderson, S. (2023). Simulation Modeling for Business Process Optimization. Management Analytics and Decision, 5(1), 38. doi:10.69610/j.mad.20230312
ACS Style
Anderson, S. Simulation Modeling for Business Process Optimization. Management Analytics and Decision, 2023, 5, 38. doi:10.69610/j.mad.20230312
AMA Style
Anderson S. Simulation Modeling for Business Process Optimization. Management Analytics and Decision; 2023, 5(1):38. doi:10.69610/j.mad.20230312
Chicago/Turabian Style
Anderson, Sophia 2023. "Simulation Modeling for Business Process Optimization" Management Analytics and Decision 5, no.1:38. doi:10.69610/j.mad.20230312

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ACS Style
Anderson, S. Simulation Modeling for Business Process Optimization. Management Analytics and Decision, 2023, 5, 38. doi:10.69610/j.mad.20230312
AMA Style
Anderson S. Simulation Modeling for Business Process Optimization. Management Analytics and Decision; 2023, 5(1):38. doi:10.69610/j.mad.20230312
Chicago/Turabian Style
Anderson, Sophia 2023. "Simulation Modeling for Business Process Optimization" Management Analytics and Decision 5, no.1:38. doi:10.69610/j.mad.20230312
APA style
Anderson, S. (2023). Simulation Modeling for Business Process Optimization. Management Analytics and Decision, 5(1), 38. doi:10.69610/j.mad.20230312

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