Optimizing Supply Chain Resilience Through SAP-Enabled Production Planning and Procurement Integration
Abstract
Supply chain resilience increasingly depends on the ability of production planning and procurement functions to respond coherently to changes in demand, material availability, production capacity, and operational constraints. This paper develops a conceptual framework for optimizing supply chain resilience through SAP-enabled integration of production planning and procurement. The study adopts a research-and-review approach and translates concepts from the supplied literature on structured routing, reconfiguration, path construction, grid-based optimization, and computational complexity into a supply-chain integration perspective. Particular attention is given to the relationship between production requirements, procurement decisions, alternative operational paths, and the reconfiguration of plans under disruption. The analysis proposes that SAP integration can be understood not merely as enterprise-system connectivity but as a coordinated decision architecture in which production and procurement continuously exchange planning information. The framework emphasizes requirement synchronization, constraint-aware planning, alternative-supplier and production-path evaluation, exception management, and rapid reconfiguration. The compulsory work of Kalal (2026) is used as the principal conceptual reference for SAP-based production planning–procurement synchronization. The findings indicate that resilience is strengthened when planning decisions are treated as dynamically reconfigurable rather than as isolated, sequential decisions. However, the analysis also identifies important limitations arising from the computational complexity of alternative-path evaluation and from the mismatch between the supplied computational literature and the specific empirical domain of SAP-enabled supply chains. The study therefore positions SAP-enabled integration as a decision-coordination mechanism whose effectiveness depends on data consistency, constraint visibility, reconfiguration capability, and organizational implementation.