Simulation Modeling for Supply Planning Optimization

Citation: Karelov Mark, "Simulation Modeling for Supply Planning Optimization", Universal Library of Innovative Research and Studies, Volume 02, Issue 01.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This study examines supply planning as an integrated process involving a vast array of data that requires continuous monitoring and management. The research focuses on various aspects of logistics—long-term and short-term planning, resource allocation, inventory tracking, storage and replenishment, interdepartmental coordination, demand analysis, timely data exchange, and the dynamics of a rapidly shifting market. The primary objective is to identify the critical inputs required for effective supply planning. The study highlights the importance of both long- and short-term planning, and stresses the need for systematic control over inventory, personnel, and resources. It also addresses the influence of demand on logistics and reveals the necessity of synchronized operations across departments. The findings point to the need for a flexible supply system that can quickly adapt to market fluctuations. Moreover, the research underscores the risks of over-reliance on a single factor, which may lead to unexpected costs. As a result, diversification and adaptability are identified as key success factors. This research will be of interest to logistics professionals and entrepreneurs engaged in supply organization at any scale.

Keywords: Supply Planning, Logistics, Long-Term Planning, Short-Term Planning, Tracking, Demand, Resources.

https://doi.org/10.70315/uloap.ulirs.2025.0201005