FUNDAMENTALS OF PRODUCTION FORECASTING AND PLANNING
Keywords:
production forecasting, production planning, demand forecasting, stochastic models, machine learning, digital twins, production management.Abstract
This article provides an in-depth analysis of the theoretical and methodological foundations of production forecasting and planning, as well as the emerging approaches shaped by digital technologies in modern industrial systems. It examines the role of statistical models, machine learning algorithms, and hybrid forecasting methods in improving demand and production prediction accuracy. Furthermore, it analyzes integrated planning solutions across strategic, tactical, and operational levels, highlighting the effectiveness of digital twins, real-time monitoring, S&OP systems, and stochastic optimization models. The findings demonstrate that the accuracy of forecasting, the flexibility of planning, and cross-departmental integration are decisive factors for achieving sustainable, adaptive, and competitive production systems.
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