Supply chain disruptions significantly impact a company's operations and financial performance, leading to production delays, increased costs, and lost revenue. This research aims to explore how South Company, an electrical component manufacturer, handles supply chain interruptions to attain operational resilience and financial stability. This study employs a mixed-methods approach, integrating both qualitative and quantitative research procedures to address these issues. Quantitative data were obtained from secondary sources to determine the frequency and financial impact of supply chain disruptions. Semi-structured interviews with key personnel from company's purchasing, manufacturing, and IT departments provided qualitative data. Using NVivo software, the analysis utilized regression, correlation, and descriptive statistics. The main objectives were to measure workforce stability and evaluate the efficacy of current mitigation techniques. Findings show that inventory stockpiling and multiple sourcing greatly increased supply chain resilience, while prudent financial management lessened the impact of interruptions. Quantitative metrics analysis indicated significant improvements in workforce resilience and stability. This study emphasizes a proactive and varied approach to supply chain risk management and offers insights into effectively integrating resilience methods and financial performance measures to address modern supply chain challenges.
Ageron, B., Gunasekaran, A., & Spalanzani, A. (2020). Sustainable supply management: An empirical study. International Journal of Production Economics, 140(1), 168-182.
Ali, A., Mahfouz, A., & Arisha, A. (2017). Analyzing supply chain resilience: Integrating the constructs in a concept mapping framework via a systematic literature review. Supply Chain Management: An International Journal, 22(1), 16-39.
Bag, S., & Pretorius, J. H. C. (2020). Relationships between industry 4.0, sustainable manufacturing, and circular economy: Proposal of a research framework. International Journal of Organizational Analysis, 28(1), 127-145.
Bode, C., & Wagner, S. M. (2015). Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions. Journal of Operations Management, 36(1), 215-228.
Ivanov, D., Dolgui, A., Sokolov, B., Ivanova, M., & Kalinina, O. (2017). Integrated risk management in supply chains: A dynamic modeling framework. International Journal of Production Research, 55(7), 2176-2192.
Kamalahmadi, M., & Parast, M. M. (2016). A review of the literature on the principles of enterprise and supply chain resilience: Major findings and directions for future research. International Journal of Production Economics, 171(1), 116-133.
Klibi, W., & Martel, A. (2012). Scenario-based supply chain network risk modeling. European Journal of Operational Research, 223(3), 644-658.
Tang, C. S., & Musa, S. N. (2011). Identifying risk issues and research advancements in supply chain risk management. International Journal of Production Economics, 133(1), 25-34.
Sivalingam, D., & Hussin, N. (2024). Mitigating Supply Chain Disruptions in Enhancing South Companys Sustainability. International Journal of Academic Research in Business and Social Sciences, 14(11), 494–499
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