Abstract

Efficient supply chain management relies on robust capacity planning and the use of key performance indicators (KPIs) to ensure operational alignment, transparency, and resilience. This review paper examines the integration of capacity planning frameworks with KPI-driven dashboard models as a strategy for improving supply chain visibility and efficiency. It explores how predictive analytics, real-time monitoring, and data visualization enable proactive decision-making, resource optimization, and risk mitigation across global supply networks. The paper further highlights challenges such as data integration, scalability, and interoperability in developing comprehensive dashboard systems. By synthesizing existing literature and industry practices, the review provides insights into best practices for designing and implementing capacity planning tools and KPI dashboards that support end-to-end supply chain visibility. The study emphasizes the role of digital transformation, big data analytics, and artificial intelligence in advancing supply chain performance, while also identifying areas for future research in adaptive models and sustainability-focused KPIs.