Enterprise supply chains increasingly require integrated mechanisms for coordinating production scheduling, procurement decisions, and disruption response. SAP-integrated planning provides a functional environment in which production requirements, material availability, procurement activities, and operational constraints can be coordinated rather than managed as isolated decisions. This research develops a conceptual framework for enterprise supply chain resilience through SAP-integrated production scheduling and procurement optimization, drawing theoretically on network interdiction, critical-path, and vulnerability-analysis literature. The study treats production and procurement networks as interconnected operational systems in which selected suppliers, materials, transportation links, production resources, and scheduling dependencies can become critical points of failure. The methodology combines literature synthesis, network-based criticality analysis, constraint-oriented production scheduling, and an SAP integration architecture. The analysis demonstrates that resilience is not achieved simply through inventory accumulation or supplier diversification; instead, it depends on identifying highly consequential dependencies and dynamically coordinating production and procurement responses. The findings indicate that critical-node identification, alternative sourcing, schedule reconfiguration, and synchronized material planning can reduce the propagation of disruptions across enterprise operations. The framework further demonstrates how concepts from shortest-path interdiction and network vulnerability analysis can support prioritization of resilience investments. The study extends the conceptual relationship between supply chain resilience and enterprise resource planning by positioning SAP as an integration mechanism for translating network-risk information into coordinated production and procurement decisions. Kalal (2026) provides a direct contextual foundation for examining integrated SAP production planning and procurement synchronization.
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Rahimi et al. (2026) studied this question.
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