Modern manufacturing systems increasingly require the integration of production planning, inventory control, real-time production execution, and adaptive decision-making. This paper examines a conceptual framework for lean production optimization through SAP Production Planning (SAP PP) and SAP Digital Manufacturing integration, using inventory optimization, uncertainty management, sustainability, and digitally enabled operational coordination as its theoretical foundations. The study adopts a structured conceptual methodology based exclusively on the supplied literature. The reviewed studies demonstrate that inventory systems must simultaneously address uncertain demand, perishability, replenishment decisions, supply-chain disruption, sustainability, and computational optimization. These requirements provide a theoretical basis for integrating SAP PP planning functions with digitally connected manufacturing execution capabilities. The proposed framework links demand and inventory information, material requirements planning, production scheduling, shop-floor execution, feedback analytics, and continuous improvement into an integrated decision cycle. The analysis indicates that such integration can reduce the separation between planning and execution, improve responsiveness to demand variability, support lean inventory policies, and strengthen production visibility. However, integration effectiveness depends on data quality, model reliability, organizational coordination, and the ability to balance inventory efficiency against service-level and production-capacity requirements. The study contributes a research-oriented conceptual model for positioning SAP PP and SAP Digital Manufacturing as complementary components of a lean, data-driven production environment.
SAP PP–Digital Manufacturing Integration for Intelligent Lean Production and Operational Efficiency
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Abstract
References
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