An Intelligent Integrated SAP Architecture for Production–Procurement Coordination and Supply Chain Resilience

Abstract

Supply chain resilience increasingly depends on the ability of production and procurement functions to coordinate decisions under demand uncertainty, material shortages, supplier variability, and changing operational priorities. Conventional enterprise planning approaches often treat production scheduling and procurement decisions as sequential activities, creating delays between material requirements, purchasing actions, and production responses. This paper proposes a conceptual intelligent integrated SAP architecture for synchronizing production–procurement decisions through a unified decision framework. The methodology combines SAP-oriented functional integration with optimization principles derived from submodular, supermodular, ratio-optimization, and non-submodular optimization literature. The proposed architecture organizes demand signals, production requirements, material availability, supplier conditions, and procurement priorities into an integrated decision layer. A multi-stage analytical framework is developed covering data integration, requirement generation, optimization, exception management, and resilience feedback. The literature indicates that greedy optimization can provide effective approximation mechanisms for complex combinatorial decisions, while ratio-based and non-submodular formulations offer additional flexibility for balancing competing operational objectives. The resulting architecture provides a theoretical basis for coordinating production and procurement while preserving responsiveness under disruption. The paper argues that intelligent SAP integration should not be limited to transaction automation; rather, it should operate as a decision-coordination mechanism capable of dynamically reallocating resources and procurement priorities. The proposed framework contributes a research-oriented architecture for future empirical validation using real enterprise data.