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The existing supply chains are being operated in an increasingly unpredictable environment, and the management of capacity and lead time strategic planning is currently in high demand. It is a review paper, which elaborates on the concept of elasticity of organizations to dynamic demand, geopolitical threats, technological innovation, and sustainability pressures of the strategic supply chain model. The paper hypothesizes numerous solutions, such as technology-enabled planning, data-based prediction, AI implementation, network-sustainable architecture, and program management, as postulated by recent literature sources. The most important findings are associated with intelligent demand forecasting and the resilience of the supply chain, which can be associated with flexibility in capacity management and cross-functional coordination. It is also necessary to state that the paper concentrates on the fact that the balance between operating abilities, the dynamism of the market environment, regulatory requirements, and sustainable goals is of utmost importance. On the whole, one can use this review to realize that agile governance, advanced analytics, and digital infrastructure should be brought to the same level to establish strong strategic planning regardless of uncertainty.
Keywords:
Strategic planning, Supply chain uncertainty, Capacity management, Lead time variability
Cite Article:
"Strategic Planning in Modern Supply Chains: Managing Capacity and Lead Times Under Uncertainty", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a6-a14, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604002.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator