The integration of production planning with digitally enabled manufacturing execution represents an important pathway for improving production responsiveness, process visibility, and operational coordination. This research examines a conceptual framework for Lean Production Optimization Through SAP PP and SAP Digital Manufacturing Integration, with particular emphasis on the relationship between production planning, shop-floor information, process conditions, and adaptive operational decision-making. Because the supplied literature is concentrated primarily on machining behavior, serrated-chip formation, cutting-force modeling, thermal-mechanical effects, and numerical prediction, the study positions these manufacturing-process findings as the technical foundation for understanding why production-planning systems require reliable, timely, and process-sensitive information. The methodology develops an integrated conceptual architecture connecting SAP Production Planning (SAP PP), SAP Digital Manufacturing, production orders, machine/process information, quality observations, and feedback-based planning decisions. The proposed framework is evaluated through analytical reasoning and hypothetical manufacturing scenarios rather than through a proprietary industrial dataset. The findings indicate that integration can theoretically reduce information latency between planning and execution, improve synchronization of production decisions with shop-floor conditions, and create a stronger basis for exception-oriented planning. The research also identifies an important limitation: the supplied references do not directly investigate SAP PP, SAP Digital Manufacturing, or lean enterprise systems. Consequently, the proposed SAP integration model is a research synthesis and conceptual framework rather than an empirically validated SAP implementation study. The paper contributes by translating process-level manufacturing intelligence into an integrated production-planning perspective and by identifying the information requirements necessary for lean-oriented digital manufacturing.