Optimizing Supply Chain Resilience: An Empirical Analysis of Contingency Strategies in the Semiconductor Industry

Pat White; Skyler White; Lily Smith; Dana Thomas

Authors

Pat White Professor
Skyler White PhD
Lily Smith Associate Professor
Dana Thomas Dr. Sc

Keywords:

Supply Chain Resilience, Semiconductor Industry, Contingency Strategies, Operational Efficiency, Risk Management, Adaptive Strategies, Supply Chain Management, Quantitative Analysis

Abstract

This study investigates the intricacies of supply chain resilience through an empirical case analysis of contingency strategies employed in the semiconductor industry, crucially affected by global supply disruptions. Employing a mixed-methods approach, we conducted in-depth interviews with supply chain managers and analyzed quantitative data from industry reports. Our findings reveal that adaptive sourcing, enhanced collaboration, and strategic inventory management significantly mitigate operational risks. Specifically, companies that implemented these strategies reported a 32% reduction in lead times and a 25% increase in overall supply chain efficiency. This research not only highlights the importance of resilience in the semiconductor sector but also provides actionable insights for managers seeking to navigate complex supply chain challenges.

Author Biographies

Pat White, Professor

Professor
Technical University of Munich
Arcisstraße 21, 80333 Munich, Germany

Skyler White, PhD

PhD
Massachusetts Institute of Technology
77 Massachusetts Ave, Cambridge, MA 02139, United States

Lily Smith, Associate Professor

Associate Professor
University of Cambridge
The Old Schools, Trinity Ln, Cambridge CB2 1TN, United Kingdom

Dana Thomas, Dr. Sc

Dr. Sc
University of Melbourne
Victoria 3010, Australia

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