Resilient Semiconductor Supply Chains: Strategic Planning, Risk Mitigation, and Adaptive Production Networks in an Era of Reshoring and Disruption

This article presents an integrative and original research treatment of semiconductor supply chain resilience, master planning, production planning, and demand fulfilment in the context of contemporary forces of regionalisation and reshoring. Drawing on a curated set of empirical studies, modelling surveys, and applied analyses from the fields of operations research, supply chain management, and regional economic policy (Mönch et al., 2018a; Mönch et al., 2018b; Ivanov et al., 2017), the paper synthesises theoretical constructs with practical managerial interventions and proposes a comprehensive, descriptive framework for strategic decision making under uncertainty. The research articulates how capacity reservation contracts, forecast updating mechanisms, emergency ordering policies, and cooperative supplier development interact to shape production planning outcomes (Cheaitou & Cheaytou, 2019; Johansen, 2019; Talluri et al., 2010). The role of network structure, simulation-based analysis, and resilience-sustainability interfaces in guiding contingency planning is examined (Ivanov, 2018; Ivanov et al., 2017). The paper further explores the drivers and implications of geographic reorientation of value chains—regionalisation and reshoring—through the case of Japan’s semiconductor industry and contemporary policy pressures (Kamakura, 2022; Lulla, 2025). Special emphasis is placed on demand fulfilment strategies in periodic-review inventory systems with stochastic lead times and emergency order options, on manufacturer-supplier cooperation under risk, and on tool allocation strategies to manage work-in-process and cycle time (Johansen & Thorstenson, 2014; Chen-Fu Chien et al., 2020). The study concludes with an extended discussion of managerial implications, trade-offs among resilience, cost, and sustainability objectives, and an agenda for future research that foregrounds simulation-based experimentation, multi-agent coordination, and policy-relevant modelling. Keywords: semiconductor supply chain, resilience, reshoring, capacity reservation, emergency orders, production planning, simulation.